How to Build a Sales Enablement Program That Delivers Real Impact

Introduction

I’ve discussed sales enablement programs at length on this blog before – especially in my piece on what a sales enablement program is and how it differs from a training program.

That article was about definition and positioning. Namely, clarifying the boundaries of a program and showing why it is much more than a set of training sessions.

This time, we’ll go a step further.

Instead of focusing on what an enablement program is, we’ll look at how to build one, with the aim of giving you a clear, practical roadmap you can use to design programs that deliver impact.

To do this, I’ll draw on several proven models and connect them into a single framework.

At the core of the framework there are four macro phases – Strategic Alignment & Validation, Planning & Design, Execution, and Value Demonstration – which provide the structure every program should follow.

Within those phases, I’ll also integrate:

• The New World Kirkpatrick model, which helps evaluate program effectiveness from reaction to results.
• The Five Stages of Sales Mastery model, which guide the design and reinforcement of learning experiences.
• My Own-Shape-Support measurement model, which frames how enablement contributes to business outcomes and what’s in our control vs out of our control.

By the end of this article, you’ll have a step-by-step approach for building a world-class sales enablement program – one that aligns with strategy, drives behavioural change, and proves its value to the business.

I am excited to dive in, so let’s get started.

The four phases of a sales enablement program

Over the years, after studying dozens of enablement programs, reviewing academic models, analysing practitioner frameworks, learning from failures and successes, and comparing notes with leaders across different industries, I’ve found that the most effective sales enablement initiatives all share a similar underlying structure.

No matter the company size or sales motion, world-class enablement programs move through the same essential phases.

They start by defining the problem and aligning stakeholders, shift into disciplined planning and design, move through structured execution, and then close the loop through measurement and value demonstration.

To make this practical and repeatable, I’ve distilled these common patterns into a framework of four phases that capture everything required to initiate, execute, and conclude an enablement program with real impact.

Here’s the high-level view before we break each phase down step-by-step:

Phase 0 – Strategic alignment & validation

Ensure the program is justified, aligned, and worth investing in.

This is where you confirm that a program is actually needed, anchor it to your sales enablement strategy, validate the underlying problem, assess resourcing, and create the early program charter that sets scope and expectations (difference between sales enablement charter and program charter will be described later).

This phase prevents wasted effort. It stops you from building programs in a vacuum, reacting to noise, or saying yes to initiatives that don’t move the business forward.

Everything that follows becomes easier when Phase 0 is done well.

Phase 1 – Planning & design

Translate the strategic intent into a structured plan that is feasible, measurable, and designed for behaviour change.

Here you sharpen the program charter, define business outcomes, map critical behaviours, determine the required enablement levers, design evaluation, outline manager responsibilities, and sequence the program from pre-work to reinforcement.

This phase ensures the program is coherent, realistic, and tied to the metrics that matter.

Phase 2 – Execution

Bring the program to life by activating the right mix of training, coaching, content, tools, and process reinforcement – and by equipping managers to sustain the change.

Execution is not “delivering the sales training.”

It is the coordinated rollout of every lever designed in the planning phase. That includes the learning experience, yes – but also pre-work, expectation-setting, workflow updates, content releases, tooling changes, manager enablement, and the field reinforcement mechanisms that ensure the new behaviours and outputs actually show up in real deals.

This phase is where plans turn into action, and where reps and managers begin applying new behaviours, tools, and processes in real selling situations.

Phase 3 – Value demonstration & iteration

Measure impact, tell the story, and refine for future cycles.

Although measurement runs throughout the program – especially for leading indicators like adoption, behaviour change, or quality of outputs – this phase is where everything comes together. Here, you connect execution to business outcomes and close the loop with stakeholders.

This phase focuses on:

• Consolidating leading indicators collected during execution.
• Assessing lagging indicators once enough time has passed.
• Comparing outcomes against the expectations set in the program charter.
• Capturing qualitative evidence (deal stories, manager observations, examples of improved outputs).
• Running retrospectives with managers and cross-functional partners.
• Publishing an impact narrative that leadership can understand and champion.

A program isn’t truly complete until its value is demonstrated – and the insights from this phase inform how you refine the next iteration.

In world-class organisations, value demonstration isn’t the end of the program; it’s the bridge to the next one.

Phase 0 – Strategic alignment & validation

Before any successful sales enablement program takes shape, there needs to be a moment of pause – a step back to understand whether a program should exist in the first place and what larger picture it connects to.

One of the most common pitfalls I see is teams jumping straight into execution mode: a workshop here, a coaching series there, a process tweak because someone shouted particularly loudly.

These initiatives may be well-intentioned, but without a strategic anchor, they become scattered, reactive, and hard to justify when priorities shift.

That’s why every world-class program begins with clarity.

Not on the deliverables. Not on the agenda.

But on the strategic context the program sits within.

In mature organisations, this means grounding the work in a well-defined, effective sales enablement strategy.

Such a strategy tends to define the problems the organisation needs to solve, the segments and personas you prioritise, the sales motions that matter most, and the enablement levers you intend to invest in – training, content, tools, process, coaching, and everything around them.

It also establishes governance, ways of working, and how enablement integrates with the rest of the business.

If you want a deeper dive into this, I break down the full strategy-building process in my guide on crafting a strong sales enablement strategy – from articulating the vision to identifying focus areas, all tightly aligned with GTM and revenue objectives.

But not every organisation starts with that level of maturity.

Some teams inherit functions that have historically been reactive, heavily tactical, or fragmented across departments. If that’s your situation, you don’t need to halt progress until a perfect strategy document exists.

Instead, you can anchor your program to a smaller set of strategic principles:

• What business outcome matters most right now?
• Which sales motion is suffering the most?
• Where is the impact–effort ratio highest?
• What change would meaningfully improve rep sales performance?

These mini-priorities can act as a “proto-strategy” while you work toward something more formal.

There’s then another reality worth acknowledging: resources matter.

Even when a program is strategically justified, the decision to move forward depends on capacity, expertise, and tooling. Effective programs require design time, stakeholder alignment, manager enablement, content updates, coaching infrastructure, and measurement.

If your enablement team is one person (or stretched thin across onboarding, product updates, field requests, and other areas), you may need to:

• reduce program scope,
• phase delivery over multiple cycles, or
• push back until the organisation is willing to resource it properly.

This shouldn’t be mistaken with giving up; it’s about being honest about what it takes to drive real performance change.

Once strategy and resourcing are clear – even if they are provisional or lightweight – programs become delivery mechanisms for that strategy.

A program is a time-bound, intentionally designed initiative that tackles one strategic problem in depth.

Nothing more, nothing less.

And this distinction matters.

Without strategic alignment, programs become reactive. They appear in response to the most incessant stakeholder, overlap with other initiatives, pull reps and managers in conflicting directions, and quickly become impossible to prioritise or defend with leadership.

When rooted in strategy (even a simple, emerging one), everything tightens:

• Programs map directly to business priorities.
• They fit into a broader narrative and sequencing.
• They become easier to resource – and just as importantly, easier to say no to when something doesn’t belong.

So before you sketch anything, start with one simple question:

“Which strategic priority does this program support?”

If you can’t answer that confidently, you’re not ready to design the program yet.

When to launch a program

What we should learn from this is that not every problem deserves a full sales enablement program.

This is one of the biggest mindset shifts for new (and even experienced) sales enablement leaders: a program should be reserved for issues that are meaningful, repeatable, and strategically important – not every noise or request that hits your inbox.

In reality, programs tend to emerge from a combination of data, qualitative insight, and patterns you see over time. Here are the signals that usually tell you it’s time to start thinking beyond a quick fix.

Data-led triggers

Sometimes the numbers tell you the story before anyone else does. Common indicators include:

• A consistently low win rate in a particular segment, region, or persona group.
• A sharp drop-off at a critical stage (e.g., moving from discovery → proposal).
• Sales cycles dragging longer in a specific motion, such as mid-market expansion.
• Repeated issues in the quality of key outputs that very much affect the sales process – business cases, proposals, account plans, qualification notes.

When metrics like these show up across teams rather than in isolated pockets, it’s often a sign that something systemic is happening – something a program is better equipped to fix.

Qualitative triggers

Other times, your insights come from the field:

• Sales reps repeatedly say, “We don’t know how to…” or “We don’t have a clear way to…”.
• Managers surface recurring gaps during pipeline reviews, deal reviews, or weekly coaching sessions.
• You spot the same breakdown – poor discovery, unclear value articulation, inconsistent negotiation – appearing in multiple calls and deals.

When the same theme keeps resurfacing in conversations, it’s rarely a coincidence.

Where the intake process fits in

In many organisations, program ideas begin with a request:

• A region head wants “negotiation training.”
• A VP complains about “forecast accuracy.”
• A manager asks for “better onboarding materials.”

These may arrive through your enablement intake process, which exists precisely to capture, triage, and prioritise these needs.

Once a request lands, your job is to assess the request objectively and diagnose before saying yes or no with appropriate justifications.

1. A contained, tactical problem. These are narrow issues that affect a small group or a specific workflow. They can usually be addressed with a lightweight intervention such as:

• updating a playbook,
• adding a job aid or checklist,
• recording a Loom,
• running a short workshop or office-hours session.

2. A widespread, systemic problem. These are issues that show up across teams, regions, or deal cycles – often tied to critical metrics like win rate, cycle length, average deal size, or forecast reliability. Solving them requires multiple levers (training, coaching, content, tools, process), which is when a full program makes sense.

If you want to see how I structure intake and triage, I break it down step by step in my article on the sales enablement intake process.

A quick way to decide if something deserves a full program

Even with good intake triage, it’s not always obvious whether something deserves a full program or just a targeted intervention. Below, I outline a simple rule of thumb that should help.

A systemic problem typically shows three traits:

• It affects many reps or a large portion of deals.
• It influences meaningful business metrics like win rate, ACV, cycle length, pipeline volume, pipeline quality, or churn.
• It cannot be fixed with a single lever; it requires a combination of training, content, coaching, tools, and process.

Examples of systemic issues:

• Discovery quality across the business is inconsistent and hurting conversion rates.
• Proposal quality varies wildly between teams, slowing cycles and reducing close rates.
• Negotiation behaviour is weak across mid-market, eroding margins.
• Managers aren’t coaching consistently, leading to poor reinforcement and stalled performance.

These are the kinds of patterns that justify a full sales enablement program.

Tactical, contained issues, on the other hand, look very different.

These tend to be narrow, localised problems that aren’t hurting the business at scale.

Examples of tactical issues:

• A single team is unclear about how to complete one section of the account plan template.
• Reps keep asking the same product FAQ because the documentation is buried.
• One step of the handoff process is being misunderstood.
• A new messaging point needs clarification before a campaign goes live.

Issues like these rarely require multiple levers. They don’t meaningfully affect revenue outcomes across teams, segments, or regions.

They’re typically solved with quick interventions such as:

• updating a single playbook step,
• adding a job aid or quick resource,
• running a short workshop or office-hours session,
• making a small fix to the sales process.

These interventions matter, but they are not programs.

So, if we want to summarise it in a simple decision heuristic:

If the problem affects many reps, impacts meaningful outcomes, and requires more than one lever to fix, it likely justifies a full sales enablement program.

If not, it’s probably best addressed with a lightweight, targeted intervention.

The role of the charter

Before you move into planning, there’s one document that quietly holds everything together: the charter.

And here it’s important to distinguish between two different charters that often get conflated: the enablement (function-level) charter and the program charter (the one we care about here).

This enablement charter is the high-level, permanent (yet continuously refined) document that defines:

• What the sales enablement team actually owns.
• Who you serve across the revenue organisation.
• How you partner with marketing and sales teams, RevOps, and leadership.
• The boundaries, governance model, and operating rhythm of the function.

It’s the anchor for your overall sales enablement strategy, not for a single initiative.

The program charter is the document that matters for this article.

A program charter is a focused 1-5 page document (depending on program complexity) that acts as the “contract” between the enablement team and your stakeholders for a specific initiative. It defines what the program is, why it exists, who it serves, and how success will be judged.

The structure of such a charter remains consistent throughout the life of the program. What changes, as you move through planning, is the level of precision – from an early hypothesis to a fully specified execution contract.

It’s not complicated, but it is essential.

Here’s what a strong program charter usually includes:

1. Context & problem statement

What isn’t working today? Where is the issue showing up (segment, region, motion)? Who is affected?

And, crucially: which strategic priority does this program support?

This creates a direct link between the program and the broader enablement strategy you established earlier.

2. Audience and scope

Which roles are included? AEs? SDRs? Managers? Which segments or regions? Which products or sales motions?

Be explicit.

Scope creep is born from vague boundaries, so it helps to include a simple in-scope vs out-of-scope line as well.

3. North-star outcomes (high level)

In your program charter, you do need clarity on what success means at the business level.

Keep this tight and define one or two north-star outcomes the program is designed to support, such as:

• Lifting win rates in the mid-market segment
• Shortening the sales cycle length in the enterprise segment
• Improving expansion pipeline quality
• Increasing first-meeting conversion rates across all sales teams
• Strengthening forecast accuracy and reliability

These outcomes guide every design decision that follows and later sit at the top of your program measurement scorecard.

4. Critical outputs and expected behaviours

This section is the one that turns a charter from a statement of intent into a performance contract.

What are the key outputs reps are expected to produce consistently in real deals (for example, discovery notes, qualification summaries, proposals, mutual action plans)?

And what are the few critical behaviours that reliably produce those outputs?

You don’t need a long list here.

You need a clear, shared standard for what the program is trying to change in the field.

5. Approach, levers, and reinforcement expectations

At the charter stage, you’re not designing the full solution yet.

But you should be clear on the nature of the problem the program is addressing.

Is this primarily a capability gap, an environment issue (tools, content, process), a reinforcement problem, or a capacity constraint?

Stating this upfront prevents the default assumption that the answer is “more training”.

This is also where you make reinforcement expectations explicit, especially what frontline managers will be expected to inspect, coach, and sustain once the program is live.

6. Rough timing and milestones

Include an approximate start date, expected duration, and a small number of meaningful checkpoints.

One important milestone to include is a planned review point where you will assess early signals and decide whether to adjust, extend, or stop the program.

7. Ownership and stakeholders

Program ownership typically sits with enablement.

Key partners usually include sales leadership, frontline managers, RevOps, and often product or marketing.

This reinforces that a program is a cross-functional effort, not something that enablement simply “delivers” to the business.

8. Assumptions and constraints

These are the practical realities that influence what the program can and cannot achieve.

You don’t need to be exhaustive, but you should surface the factors most likely to affect scope, pace, or expectations, such as manager capacity, rep bandwidth, tooling or data limitations, budget boundaries, competing initiatives, and dependencies on other teams.

Making these explicit early reduces misunderstandings later and ensures success is judged against realistic, mutually understood conditions rather than hidden assumptions.

A quick clarification is important here.

Taken together, the elements described above make up the full program charter.

However, in practice, you won’t be able to complete every section with precision before you’ve done the work in Phase 1. Early versions of the charter will contain hypotheses, directional statements, and informed assumptions rather than fully specified decisions.

That’s expected – and in the next section, we’ll be explicit about what’s sufficient for a draft charter before you formally begin the planning phase.

The charter becomes truly powerful only once you’ve worked through the planning phase in depth – translating outcomes into outputs and behaviours, diagnosing performance gaps, selecting the right enablement levers, sequencing the enablement journey, and defining how impact will be measured.

By the end of Phase 1, this document should no longer read as an idea or proposal. It should function as an execution contract: clear on what will change, how it will change, who is accountable, and how success will be judged.

To make this practical, I’ve created a sales enablement program charter template that follows this structure and is designed to evolve from an early draft into a final, execution-ready version as you progress through the planning phase (that will be described in detail in the sections below). Essentially, you can use it alongside this guide as a working artefact.

Why the program charter matters

In my experience, most program failures can be traced back to one of two things:

1. Misaligned expectations – Stakeholders thought the program would solve something different.
2. Scope creep – New requests and “just one more thing” appear halfway through.
3. Undefined or uncommitted stakeholder roles – Managers weren’t coaching, leaders weren’t sponsoring or holding teams accountable, and cross-functional partners didn’t contribute what was needed.

If designed and referenced well, the program charter prevents all three.

It becomes:

• The alignment document before any work begins.
• The reference point when new asks pop up (“Great suggestion – but does it fit the charter?”).
• The accountability anchor that clarifies what reps, managers, and leaders must do for the program to succeed.
• The front pages of your internal program documentation – everything from working notes and planning sheets to stakeholder updates and the final impact report.

A well-written program charter keeps everyone grounded in the purpose, scope, and success measures of the initiative. Without it, even the best-designed program can drift.

Recommended outputs before moving into Planning

By the time you finish this “Stategic alignment & validation” phase, you should already have a few tangible artefacts in place.

Think of this as the pre-flight checklist.

You’re not designing the program yet – but you are ensuring you’re building on solid ground.

Here’s what you should have in hand before moving into the formal Planning phase.

1. A draft program charter (hypothesis-driven)

Before planning begins, you do not need a complete, execution-ready program charter.

What you do need is a short, provisional version that captures intent and direction – usually one page or two.

This draft charter exists to answer a single question:

“Is this program real, necessary, and strategically sound enough to design properly?”

At this stage, the charter should clearly and firmly state:

• The problem you are solving.
• The audience and scope (who this is for, and who it is not).
• One or two high-level business outcomes the program is intended to support.
• Rough timing.
• Program ownership and core partners.

Then, you can add in a directional and explicitly provisional way:

• An early hypothesis about why the problem exists.
• A high-level view of the type of change required (for example: capability vs environment vs reinforcement).
• A directional view of the likely enablement levers involved, without design detail.

For example:

• “This appears to be primarily a coaching and reinforcement issue, not a knowledge gap.”
• “This likely requires changes to discovery outputs and manager inspection, supported by light capability work.”

What you should not try to finalise yet:

• Detailed behaviours and output standards.
• A full lever mix.
• Enablement sequencing or journey design.
• Measurement frameworks or scorecards.

Those elements belong to the final charter, and they can only be completed credibly after Phase 1.

If this draft charter feels vague, bloated, or disconnected from strategy, that’s a signal to pause.
You’re not ready to plan yet.

2. A stakeholder alignment list

Alongside the draft charter, you should maintain a simple stakeholder alignment list.

This does not need to be formal or complex (a light RACI matrix could work).

At minimum, be clear on who needs to be:

• consulted for context, insight, and constraints;
• informed to avoid surprise or friction later;
• actively committed for the program to succeed – typically, frontline managers, a senior sales leader, RevOps, and sometimes product or marketing.

Remember that many program failures are not design failures; they are alignment failures, so this artefact should help prevent that.

What this stage achieves

If you’ve done this well, you should now have:

• A crisp, shared framing of why the program exists.
• Early agreement on whether it’s worth moving forward.
• Clear boundaries around scope and audience.
• Initial alignment on who must be involved.
• A single working document (the draft charter) that will evolve through Phase 1.

Only after this point should you step confidently into the Planning phase, which is where assumptions get tested, hypotheses get refined, and the draft charter becomes a fully specified execution contract.

Phase 1 – Planning & design

By the time you reach this stage, the groundwork should already be solid.

Phase 0 clarified why the program exists, which strategic priority it supports, and who needs to be involved. You’ve defined the problem, aligned stakeholders, and drafted the early charter that gives the program its direction.

Now the real plan design work begins.

And this is where many programs go wrong.

Too often, planning starts with activities:

• “Let’s run a workshop.”
• “Let’s build a curriculum.”
• “Let’s create a certification.”

But, once again, world-class programs don’t start with activities; they start with business outcomes.

Planning is where you translate strategy into a clear pathway:

• the results the program must influence (at a more granular level),
• the behaviours and outputs that drive those results,
• the gaps standing in the way,
• the levers you will pull to address those gaps,
• and the enablement journey reps will go through to achieve the results.

You’ll want to make your program a performance system built deliberately to shift the metrics leadership cares about, rather than an isolated set of deliverables.

Let’s now examine each step of the planning phase in more detail.

Note: Throughout the planning phase, one principle should guide every decision. Namely, the goal is not to maximise activity or effort, but to design performance that is worth producing – where the value of the outputs (explored later) clearly exceeds the cost required to produce them.

Step 1 – Identify the business results your program must influence

A program only creates value when it moves the metrics the organisation cares about – the ones that shape revenue performance, improve deal progression, or strengthen the quality of sales execution.

Everything built later (curriculum, coaching, content, tools, reinforcement) is simply the mechanism to generate those outcomes.

The question is not, “What do we want reps to learn?”

It is: “What business result must this program influence – and what behaviours need to exist for that result to improve?”

In Phase 0, you already defined those outcomes at a high level. Here, you go a level deeper and get specific about the exact metrics your program needs to influence.

This is business-backwards thinking: instead of designing content and hoping it leads somewhere, you define the destination first.

Two core models help you do this in a structured way instead of relying on opinion or intuition:

• The New World Kirkpatrick model – clarifies the chain from learning → behaviour → results.
• The Own–Shape–Support approach – my model from the sales enablement KPIs guide that clarifies what enablement owns, what it can shape, and what it must simply support and align to.

The outcome of this step is a clear “north star” for the program, providing the kind of clarity that prevents scope creep and strengthens stakeholder alignment.

Begin at Kirkpatrick Level 4 (results)

The business results you need to influence become the anchor of the entire program.

Those results depend on your organisation’s priorities, but they typically fall into areas such as:

• Win rate (overall or within a specific segment or region)
• Sales cycle length
• Average deal size or margin protection
• Stage conversion rates (e.g., Discovery → Proposal)
• New business or expansion pipeline volume and/or quality
• Forecast accuracy
• Churn/retention

These are lagging, executive-level outcomes – the measures the business ultimately cares about and the lens through which your program will be judged.

In Kirkpatrick terms, these sit at Level 4 (Results).

Introducing the model here matters because, as you move deeper into program design, you’ll need a structured way to translate these business outcomes into the behaviours, skills, and experiences your program must build.

The New World Kirkpatrick Model provides that chain:

• Level 4 – Results: Are the right behaviours improving the business outcomes you set out to influence? (e.g., improved discovery → higher stage progression, improved negotiation → higher ACV, better margins).
• Level 3 – Behaviour: Are reps actually applying the skills in the field? This is the hinge point – measured through call reviews, CRM inspection, deal reviews, manager observations, deeper conversation intelligence insights.
• Level 2 – Learning: Did reps acquire the knowledge or skill? Verified through roleplays, simulations, scenario-based assessments, peer teaching, etc.
• Level 1 – Reaction: Did participants find the learning relevant, credible, and practical?

For a fuller explanation of Kirkpatrick and other evaluation models, you can read my article on sales training evaluation frameworks.

Use the Own–Shape–Support model to manage expectations

If Kirkpatrick helps you understand the chain of performance, the Own–Shape–Support (OSS) model helps you understand the chain of ownership.

Because once you define the business results (Level 4), the next challenge is expectation-setting:

• What can enablement own?
• What can it realistically shape?
• What does it only support?

Many program disappointments and failures stem from unclear assumptions about what enablement owns versus what it can only influence.

The OSS model solves this problem, and I’ve relied on it often to anchor early conversations with stakeholders.

Let’s now walk through each layer so we can apply it with clarity as we progress through the planning phase.

Own – What enablement directly controls

These are the elements where enablement has full accountability – you define them, build them, inspect them, and ensure they are delivered at the right quality.

To avoid ambiguity, they fall into a few clear buckets:

Program design & learning assets

• Training curriculum
• Learning materials & enablement guides
• Certification criteria and assessments
• Practice scenarios, simulations, and exercises
• Curated call libraries

Sales content & job aids

• Messaging frameworks
• Talk tracks
• Sales assets used for execution (e.g., proposal templates, qualification frameworks)
• Various job aids (checklists, cheat sheets, templates)

Process & system enablers

• Process documentation
• Workflow guidance
• Tool enablement materials
• Coaching frameworks for managers
• Specific sales enablement tools set-up

Enablement controls the accuracy, clarity, versioning, and standardisation of these elements.

Shape – What enablement influences through programs

This category represents the behaviours, workflows, and performance levers that enablement can significantly influence, but does not fully own – because real-world application depends on frontline managers, leadership support, and the broader sales environment.

These represent the middle layer of your performance system: the levers that connect what you create (Own) to the outcomes the business ultimately cares about (Support).

The Shape category includes things like:

Field behaviours (observable actions that show up in real customer interactions)

• Discovery quality (question depth, problem framing, control of the call)
• Value articulation (clarity in linking capabilities to customer outcomes)
• Negotiation behaviour (confidence, structure, use of value levers)
• Multi-threading behaviours (ability to engage multiple stakeholders early)
• Objection handling quality

Deal execution behaviours (affecting the momentum and velocity of opportunities)

• Opportunity progression (e.g., movement from Discovery → Proposal → Commit)
• Deal qualification consistency (use of MEDDPICC or similar frameworks)
• Pipeline inspection & hygiene behaviour (realistic dates, accurate fields, follow-up actions)
• Account planning behaviour (frequency, completeness, strategic depth)

Quality of key outputs used in live deals (how reps use them and to what standard)

• Proposal quality
• Business case quality
• Executive briefing quality
• Territory or account plans used in real deals (not the templates – the actual execution)

Adoption and usage behaviours (indicators of whether reps are applying tools and processes correctly)

• Use of value-selling tools (ROI calculators, cost justification tools, battlecards)
• Adherence to the sales process or methodology
• Adoption of messaging, sequences, or frameworks in the field
• Engagement with reinforcement rituals (call reviews, practice loops, peer learning)

Enablement shapes these through training, coaching, tools, content, and process – but frontline managers are the ones who must coach, inspect, and sustain them.

It’s also worth noting that each of these behavioural and process elements typically has one or more qualitative or quantitative metrics attached to it. In other words, the concepts listed here (discovery quality, deal progression, proposal quality, etc.) serve as the foundation concepts for the actual metrics you’d define.

Support – Strategic outcomes the business owns

This final category represents the outcomes that sit at the top of the performance chain – the results the business ultimately cares about and uses to assess revenue health, sales productivity, and market performance.

These are strategic, lagging indicators owned by the revenue organisation, with revenue leadership ultimately accountable for achieving them.

Enablement influences these outcomes indirectly, by improving the outputs it owns and the behaviours it shapes – but enablement is not the sole driver and should never be positioned as such.

Support includes outcomes such as:

Revenue outcomes

• Win rate (overall or by segment/vertical/motion)
• Average deal size / ACV growth
• Gross margin / discounting trends
• Net revenue retention & expansion performance
• Booked revenue vs target/quota attainment

Sales effectiveness & efficiency outcomes

• Sales cycle length (overall and stage-level velocity)
• Pipeline quality & pipeline coverage
• Forecast accuracy and reliability
• Volume of qualified opportunities entering the pipeline
• Close rate from proposals or business cases

Customer-related outcomes

• Customer retention/churn reduction
• Onboarding success & time to first value (for CS motions)
• Customer satisfaction or NPS (in motions where sales behaviour influences the experience)

These outcomes matter because they reflect the ultimate goals your enablement program is supporting – and they are typically the numbers executives care about most.

But the key is that enablement supports these outcomes; it does not own them.

Ownership sits with revenue leadership at the top of the go-to-market organisation. Other GTM functions – Sales, CS, Marketing, Enablement, RevOps – each contribute through their own sphere of control, but they are not the primary owners of these metrics.

Enablement’s role is to show – with clarity and credibility – how the outputs it owns and the behaviours it shapes contribute to movement in these outcomes, not to claim direct attribution.

This distinction prevents unrealistic expectations, avoids misattributing success or failure, and strengthens your credibility with leadership. It also makes clear who owns the elements enablement can only influence – for example, frontline managers own reinforcement and coaching cadence and quality, even though enablement helps shape both.

What you should walk away with

By this point in the planning phase, your goal is not to fully resolve every layer of Kirkpatrick or complete the OSS mapping.

Your only requirement is clarity on the destination – the business result the program must support (Level 4).

Kirkpatrick and OSS have been introduced now not to be “completed,” but to establish the logic the rest of the planning phase will follow.

They give you the conceptual scaffolding that you can build on in the next steps.

The deeper layers – specific behaviours (Level 3), skills & knowledge, plus the resources, tools, and processes required to perform (Level 2), learning experiences (Level 1), and the detailed OSS mapping – will be shaped progressively as you:

• translate outcomes into behaviours,
• diagnose the type of gaps that prevent those behaviours,
• select the right enablement levers,
• and design the enablement journey.

For now, once again, what matters is that you have established a clear north star and the analytical structure that will guide every decision that follows.

Step 2 – Translate outcomes into the critical outputs and behaviours that drive them

Once you’ve defined the business result your program is designed to support, the next step is to translate that outcome into the real drivers of performance: the behaviours reps must demonstrate and the outputs they must produce in the field.

A business outcome like a higher win rate or shorter cycle time cannot be improved directly; it improves only when reps consistently execute the right actions and produce high-quality sales outputs that move deals forward.

Identify the critical sales outputs

Sales outputs are the tangible artefacts that show whether high-value behaviours are actually happening in the field.

They come before behaviours in the causal chain because they are observable, inspectable indicators of sales execution quality.

Strong programs elevate outputs such as:

Qualification & discovery outputs

• Discovery notes (structured, complete, insight-rich)
• MEDDPICC / qualification assessments
• Mutual action plans (MAPs)
• Call summaries sent to buyers (clarity, accuracy, next steps)
• Stakeholder maps (multi-threading clarity)

Value & problem framing outputs

• Problem/opportunity statements
• Pain quantification worksheets
• Value hypothesis statements
• Cost-of-inaction analysis

These are often overlooked, but they drive deal momentum more than “activities.”

Solution & proposal outputs

• Pilot plans
• Proposals/quotes (clarity, accuracy, alignment)
• Business cases (ROI, payback, TCO models)
• Pricing rationale sheets
• Executive briefs (short, strategic, buyer-ready)
• Solution fit documents (mapping capabilities to needs)

Deal progression & execution outputs

• Account plans (strategic depth, prioritisation)
• Territory plans
• Opportunity progression updates (quality of inputs, not just completeness)
• Risk assessment sheets (deal-level risk identification)

Forecasting & pipeline outputs

• Forecast submissions (accuracy & justification)
• Pipeline hygiene compliance (updated fields, realistic dates)
• Stage movement rationales (why a deal moved, not just that it moved)

Buyer engagement outputs

• Follow-up recap emails (structure, clarity, insight)
• Meeting agendas and prep documents
• Shared digital rooms/microsites updates
• Proof-of-concept briefs (when relevant)

Internal collaboration outputs

• Manager deal reviews (quality of prep)
• RevOps handoffs (accuracy of data)
• CS handoff packs (for post-sale continuity)

Focusing on outputs first ensures your program is anchored in real work, not theoretical skill development.

If you can’t define (and later inspect) the outputs reps must produce, you cannot meaningfully influence the outcome.

Outputs tell you:

• What “good” execution looks like,
• What must improve to shift the business results, and
• Which behaviours matter the most (next step).

Map the behaviours that create those outputs

Once the critical outputs are defined, the next step is to identify the behaviours that reliably produce those outputs at the required standard.

High-quality outputs don’t appear by accident.

They are the downstream result of consistent, high-leverage behaviours that show up across calls, deal execution, and opportunity management.

This behavioural layer is your performance engine – the chain of actions that ultimately drives the business outcome you defined earlier in the first step.

A helpful way to think about this is to imagine each key output as the visible “surface” of a deeper behavioural chain.

For example:

• Strong discovery notes emerge from behaviours like active listening, layered questioning, crisp problem framing, and maintaining control of the conversation.
• High-quality proposals come from disciplined value diagnosis, clear storytelling, and tailoring arguments to multiple stakeholders.
• Reliable forecast submissions depend on realistic stage progression, disciplined pipeline hygiene, and managers who inspect rather than assume.

When you analyse behaviours this way, the logic of the program begins to emerge.

You begin to see not just what reps must produce, but how they must operate differently in order to produce it.

To make this even more concrete, it helps to work backwards from the business metric you’re trying to influence, through the output you need to elevate, down to the behavioural chain that actually produces that output.

Let’s look at two examples.

Example 1 – Improving Stage Progression (Discovery → Proposal)

Business outcome (Level 4) – Increase Discovery → Proposal conversion from 42% → 55% in the Mid-Market segments.

Critical outputs – A structured discovery package that reps must produce after every first call, consisting of:

• Discovery notes using an approved structure (problem framing, impact, stakeholder context, quantified pain, next steps)
• Qualification summary submitted via a standardised template (e.g., MEDDPICC-aligned fields with commentary)
• Buyer-validated summary email sent after the call (confirming problem, urgency, and agreed actions)

Underlying behaviours required to produce these outputs:

Before the call

• Formulating a value hypothesis grounded in segment, industry, persona, and past customer patterns.
• Preparing a discovery structure (themes, anchor questions, risk areas, etc. ) instead of relying on improvisation.

During the call

• Asking layered diagnostic questions (first-order → second-order → implication → quantification) to expose business impact, not just operational symptoms.
• Mirroring and reframing the buyer’s narrative to sharpen the problem statement, urgency, and stakes (“From what you’re saying, the real bottleneck seems to be…”).
• Actively testing qualification signals in real time rather than retrofitting after the call (budget triggers, decision authority, success criteria, compelling event).
• Driving call control by guiding the sequence (problem → impact → stakeholders → next steps) and preventing derailment or premature product talk.
• Clarifying stakeholder context by uncovering influencers, blockers, and cross-functional implications.

After/toward the end of the call

• Synthesising the problem back to the buyer in precise, customer-validated language (“Here’s what I heard, tell me if this is accurate…”).
• Quantifying impact where appropriate – using concrete, buyer-provided evidence (data points, operational consequences, financial implications) rather than assumptions.
• Agreeing on explicit next steps that advance the deal (who needs to be involved, what assets are needed, timeline expectations).

Post-call documentation

• Producing structured discovery notes that follow an approved framework (problem, impact, stakeholders, use cases, risks, next steps).
• Submitting a qualification summary that includes commentary, not just checkbox fields — demonstrating real evaluation and reasoning.
• Sending a buyer-validated recap email that confirms the framing, urgency, and next actions in language the buyer recognises as accurate.

When these behaviours strengthen, the outputs (discovery notes + qualification summary) improve.

And when those outputs improve, stage progression becomes more predictable and consistent.

Note: The behavioural chain above and the ones that come below are an illustration. In your organisation, the exact outputs standard and required behaviours should be defined with greater precision based on your sales motion, methodology, and deal patterns.

Example 2 – Increasing Average Contract Value (ACV) in mid-market

Business outcome (Level 4) – Increase Mid-Market ACV from £18,500 → £26,000 over two quarters.

Critical outputs – A value-anchored proposal package that reps must produce for every qualified opportunity, consisting of:

• An outcomes-driven proposal that links your capabilities directly to the buyer’s strategic priorities, quantifies commercial impact with credible ranges, and frames investment alongside value.
• A concise, executive-aligned value narrative that distils discovery insights into 3–5 strategic themes that matter to senior decision-makers. It articulates the business problem, the strategic opportunity, the commercial upside, and the consequences of inaction – providing the storyline that makes the proposal make sense.
• A living stakeholder map that documents political dynamics, influence levels, engagement patterns, risks, objections, and sponsorship gaps, updated continuously throughout the deal cycle.

Underlying behaviours required to produce these outputs:

1. Multi-threading early and deliberately – Reps proactively map the buying committee from the first interaction, identifying the economic buyer, political influencers, and functional stakeholders. They secure discovery calls with at least two or three affected functions and test for decision criteria and budget authority rather than relying on assumptions.
2. Conducting discovery that prioritises commercial depth over functional pain – Instead of stopping at surface symptoms, reps probe for revenue, cost, risk, and productivity implications. They quantify impact ranges using buyer data or directional benchmarks and link the problem to strategic priorities and future-state opportunities.
3. Translating discovery into a differentiated value narrative – Reps distil discovery into three to five executive-relevant insights, each tied to a consequence of inaction and a lever of commercial value. They translate these insights into a narrative designed for the economic buyer, with variations tailored for different stakeholders when needed.
4. Structuring proposals around business outcomes rather than product – Proposals follow a clear outcomes → capabilities → proof → commercial options structure. Reps present tiered investment options anchored in quantified value and connect pricing directly to the improvements uncovered in discovery. Scope expansions and premium tiers are justified through focused business case logic rather than simply additional features.
5. Maintaining a dynamic stakeholder map throughout the cycle – Stakeholder maps are updated continuously as influence, priorities, and risks shift. Reps capture objections, internal politics, and sponsorship gaps, then use this intelligence to shape targeted follow-up, executive alignment, and risk mitigation.

Before you move on

Behaviours are the invisible mechanics behind every strong output.

Once you’ve mapped the outputs that drive the business outcome – and the behaviours that drive the outputs – the next critical question becomes:

“What is preventing these behaviours from showing up today?”

Is it a skill gap?

A tooling or workflow issue?

A process bottleneck?

A lack of manager reinforcement?

Conflicting incentives?

This is what naturally leads into the next step of the planning phase: diagnosing the real performance gaps so you can determine which enablement levers your program will need to activate.

Step 3 – Diagnose the performance gaps

Now that you’ve defined the behaviours required to produce high-quality outputs, the next step is to understand why those behaviours are not occurring consistently today.

This is where you shift from what must improve → to what is blocking improvement, and it’s one of the most overlooked steps in program design.

Too many organisations jump straight to “we need training!”

But training only addresses one type of gap: capability.

In reality, most performance breakdowns happen elsewhere.

Decades of research in performance engineering – especially the work of Thomas F. Gilbert (Human Competence) and Rummler & Brache (Improving Performance) – consistently shows that the environment, not individual capability, is the dominant influencer of performance.

Building on that body of work, I use a simple but robust diagnostic lens that identifies five categories of performance friction.

Each category answers a different question about why the desired behaviours (Level 3) are not surfacing today.

1. Capability – Do reps/managers have the skills and knowledge to perform this behaviour to the required standard, in realistic situations?

This is the classic learning gap: reps don’t have the skill or knowledge required to execute the behaviour reliably.

Common signs:

• Reps attempt the behaviour but do it inconsistently or with low quality.
• They cannot explain why the behaviour matters or how it links to the deal.
• They default to scripts when contexts shift, struggling to adapt or improvise.
• They confuse steps, miss key elements, or demonstrate shallow understanding.
• When asked to self-assess, they overestimate competence (skill–awareness gap).

Training with coaching support is appropriate here – but only when the root cause truly lies in capability, not something environmental.

2. Resources, Tools & Process – Do reps/managers have the assets, tools, workflows, and processes they need to perform this behaviour efficiently and consistently?

Even highly capable reps fail when the environment works against them.

Symptoms may include:

• Missing or outdated assets (e.g., no structured discovery or business case template).
• Tools that are hard to use or not integrated (e.g., proposal systems slowing reps down).
• Processes that are unclear, overly complex, or contradictory.
• Conflicting guidance from different parts of the organisation.

A rep can know what good looks like and still fail because the workflow doesn’t support the behaviour.

This is where most “training problems” actually live.

3. Information – Do reps/managers have clarity on expectations, standards, and feedback on whether they’re executing the behaviour well?

Behaviour requires visibility.

Reps cannot improve what they cannot see.

This gap shows up when:

• Reps don’t understand expectations or standards.
• Good/poor examples are not visible or modelled.
• No feedback loops exist (e.g., discovery calls are never reviewed).
• Data is inaccurate, incomplete, or unavailable.
• Managers and reps interpret success criteria differently.

Often, simply making expectations and feedback explicit resolves a behaviour gap without any training at all.

4. Incentives & Consequences – Does the system meaningfully reinforce this behaviour – or does it unintentionally reward something else?

People do what the system rewards.

You may want reps to multi-thread, write stronger proposals, or maintain clean pipelines – but if none of these behaviours influence:

• compensation,
• recognition,
• coaching rhythm,
• or management scrutiny…

…they will naturally prioritise what is reinforced.

Examples:

• Managers inspect forecasting, not qualification → reps over-focus on late-stage deals.
• Compensation rewards speed, not quality → reps push proposals prematurely.
• Leadership praises activity volume rather than meaningful progress → reps optimise for quantity.

Without alignment between desired behaviour and consequences, no amount of training will stick.

5. Capacity – Do reps/managers have sufficient time, focus, and cognitive/emotional bandwidth to perform this behaviour consistently?

Sometimes reps know what to do, have the tools, understand the expectations, and even want to do it, but they simply can’t.

Capacity friction includes:

• Too many overlapping priorities.
• Excess administrative work.
• High cognitive load from constant context-switching.
• Poor territory design or misaligned account loads.
• Crisis-driven cultures that push short-term firefighting over quality of execution.
• Emotional and mental bandwidth constraints – burnout, sustained pressure, or chronic stress, reducing a rep’s ability to execute consistently

In these situations, performance is not limited by capability or motivation – but by the system’s design and the psychological load it places on people.

Unless this friction is reduced, no amount of training, coaching, or tooling will reliably change behaviour.

Why this diagnostic matters

At this stage of the planning phase, your goal is not to fix each gap, but to classify it – because the category of friction determines the type of intervention required:

• Capability gaps → require structured skill development: training, modelling, practice, coaching, observation, and assessment tied to a clear performance standard.
• Resource/tool/process gaps → require revisiting the operating environment: better assets, clearer workflows, tooling improvements, simplified steps, automation, or removing friction that blocks execution.
• Information gaps → require clarity and feedback systems: explicit expectations, examples of good vs. poor execution, consistent inspection, and timely, actionable feedback loops.
• Incentive & consequence gaps → require adjustments to the reinforcement mechanisms: manager accountability, aligned performance reviews, compensation or KPIs that reward the right behaviours, and removal of unintended disincentives that push reps toward the wrong actions.
• Capacity gaps → require workload and organisational fixes: reducing operational noise, rebalancing territories, improving focus time, eliminating low-value tasks, and addressing burnout or mental load that restricts reps’ ability to perform.

If you misdiagnose the gap, the entire program will fail; not because the idea per se was flawed, but because the intervention didn’t match the problem.

This diagnostic sets up the next section, where you will choose the right levers for your program.

Step 4 – Determine the enablement lever mix

By now, you’ve mapped the complete performance logic:

• the business outcome the program must influence,
• the outputs that drive that outcome,
• the behaviours that produce those outputs,
• and the gaps preventing those behaviours from showing up consistently.

With that clarity, you can now design the mechanism that will create the change: your enablement lever mix.

If the diagnostic step was about problem clarity, the lever mix is about solution design.

The core enablement levers

In most strategic programs, you’re working with six primary levers:

• Training – builds capability (knowledge and skills).
• Coaching – turns capability into field application.
• Content – provides reference, guidance, and examples at the moment of need.
• Tools – embed behaviours into workflows and reduce execution friction.
• Process – defines how work should flow and what “good” looks like.
• Reinforcement mechanisms – sustain behaviour through inspection, incentives, feedback loops, and a consistent operating cadence (weekly/monthly rituals) that prevents desired behaviours from reverting over time.

Your job is not to use all the levers; it’s to select the smallest effective combination that directly addresses the gaps you identified.

Map levers to the gaps you found

The categories from your diagnostic lens already tell you where to start:

• Capability gaps → primarily require Training + Coaching, supported by Content plus Reinforcement in the form of modelling, practice loops, observation, and corrective feedback.
• Resources / Tools / Process gaps → require stronger Content, Tools, and Process design (better assets, clearer workflows, simplification, integration, or automation), not another workshop.
• Information gaps → require clearer Content and Process, plus Reinforcement in the form of expectations, examples of “good vs. poor,” consistent inspection, and timely feedback.
• Incentive & consequence gaps → require adjustments to Reinforcement and Process (manager accountability, aligned KPIs, compensation signals, and removal of unintended disincentives).
• Capacity gaps → require changes in Process, Tools, and Reinforcement (workload reduction, operational simplification, prioritisation frameworks, and protection of focus time, mental health support)

This high-level map should make you realise why skipping diagnosis is so “dangerous”.

If you treat every problem as a capability gap, your lever mix will default to “more training” – and the program will fail for reasons that have nothing to do with the curriculum.

What each lever actually does

1. Training – build capability intentionally

Training is how you introduce new concepts and mental models and enable the learning activities that help develop the necessary skills.

Done well, it should:

• Target the specific behaviours you’ve defined (not a generic topic).
• Include practice, not just knowledge transfer.
• Make standards of “good” explicit (what strong discovery notes/proposals/MAPs actually look like).

In Kirkpatrick terms, training primarily lives at Level 2 (Learning) – with a clear line of sight to the behaviours at Level 3.

On its own, though, training rarely changes performance; instead, it creates potential.

Then, the other levers decide whether that potential turns into reality.

For a deeper dive, you may find these useful: my guide to sales training best practices, my article on how to use gamification in sales training to drive engagement and retention, and my breakdown of how to measure sales training effectiveness using the right metrics.

2. Coaching – turn learning into live performance

Coaching is the lever that most directly shifts behaviour in the field.

Where training tends to be more episodic and directive (teaching what and how), coaching is ongoing and reflective. It helps reps interpret real situations, make better decisions in context, and apply skills consistently across live deals.

It’s how managers and enablement:

• Observe real calls, deals, and outputs.
• Give targeted feedback aligned to the behaviours you defined.
• Help reps apply new skills to live opportunities, beyond hypothetical scenarios.

Coaching is the critical bridge between Level 2 (Learning) and Level 3 (Behaviour).

Without a clear coaching plan – who coaches whom, on what, how often, using which artefacts – even excellent training and content will be forgotten pretty soon.

If you want to go deeper, you may find it useful to explore my comprehensive guide to sales coaching and a more practical piece on advanced sales coaching techniques.

For measurement, I also recommend my breakdown of how sales training and sales coaching differ in practice, alongside a dedicated guide on sales coaching metrics.

3. Content – standardise execution and enable buyer decisions

Content is more than decks and PDFs. It’s every artefact that helps reps execute well and helps buyers understand, align, and decide.

Internally, content makes expectations explicit and execution repeatable. Externally, it becomes the medium through which value is communicated and decisions are enabled.

This includes things like:

• Examples of strong outputs (high-quality discovery notes, proposals, MAPs, business cases).
• Checklists, cheat sheets, and one-pagers for key conversations or tasks.
• Messaging frameworks, talk tracks, email templates, and executive briefs.
• Buyer-facing assets that structure decisions (value summaries, executive briefs, comparison frames, mutual action plans, recap emails).

(The above list is not exhaustive, and to learn more about other types of content that enablement can design to support sales professionals and buyers, you can check out my guides on enablement materials & assets and buyer enablement content.)

When approached correctly, content supports both capability and information gaps:

• It shows reps what “good” looks like and how to replicate it.
• It reduces cognitive load by providing clear “scaffolding” for execution.
• It gives buyers clarity, structure, and confidence in complex decisions.

In OSS terms, most content sits squarely in Own: enablement controls the standards, quality, and versioning.

But its impact is realised in the Shape category – when reps consistently use that content in live deals to support their sales execution and their buyer’s decision-making process.

To gain a better understanding of how to approach content in a more strategic way, you may want to check out my broader guide on sales enablement content, as well as my more practical breakdown of sales content metrics and how to measure whether content is actually influencing behaviour and deal outcomes.

4. Tools – embed behaviour into the workflow

Tools are how you operationalise the behaviours and outputs inside your existing systems.

For example:

• Guided fields and templates in CRM for discovery notes, qualification, and MAPs.
• Proposal or CPQ workflows that nudge reps to follow the value narrative.
• Conversation intelligence tools tagged to specific behaviours or scorecards.
• In-flow enablement via tools that surface the right prompts, content, or guidance at the moment of need.

The goal is simple: reduce friction and make the right behaviour the easiest behaviour.

If your diagnostic surfaced resource/tool/process gaps, this lever is central.

For a deeper perspective on this layer, I’ve covered the enablement tech landscape in more detail in my sales enablement tools guide, explored practical AI use cases across enablement programs, and outlined how to measure enablement tech efficiency and effectiveness.

5. Process – define the path and the standards

Process is the agreed way work flows through the system, translating strategy and expectations into repeatable execution.

In performance engineering terms, process is the mechanism that reduces ambiguity, variation, and wasted effort by making the right way of working explicit.

In enablement programs, the process provides guardrails such as:

• Sales stage definitions and entry/exit criteria that reflect real buyer progress and evidence, not just CRM hygiene (see my piece on aligning the sales process to the buying process).
• Clear expectations on when key outputs are required (discovery notes, qualification summaries, proposals, MAPs, forecast updates) and the minimum standard they must meet.
• Defined inspection points (deal reviews, pipeline reviews, forecast calls, QBRs) where those outputs are reviewed, discussed, and coached against.
• Handoffs and dependencies across roles (e.g., rep → manager, sales → RevOps, sales → CS) so execution doesn’t break down between functions.

Well-designed process does two critical things:

• It reduces cognitive load by removing guesswork about “what good looks like” and “what happens next.”
• It creates consistency without rigidity, allowing reps to exercise judgment inside clear boundaries rather than improvising from scratch every time.

This is what ensures your program isn’t just a set of initiatives, but something embedded into how work is planned, executed, and inspected day to day.

6. Reinforcement mechanisms – make the change stick

If process defines how work should flow, reinforcement mechanisms determine whether that flow is sustained once the program is live.

They answer the question:

“What happens after the training, content, tools, and process are in place?”

Reinforcement mechanisms ensure that the outputs and behaviours you designed for are inspected, discussed, rewarded, and corrected over time.

They include:

• Manager reinforcement rhythms – Regular call reviews, deal reviews, pipeline inspections, and other relevant sales meeting types that focus explicitly on the behaviours and outputs the program is meant to improve.
• Measurement and visibility – Scorecards and dashboards that track usage and quality of key outputs (e.g., discovery notes, proposals, business cases, MAPs), making execution visible rather than assumed.
• Recognition and consequences – How performance reviews, promotions, compensation signals, and informal recognition reinforce (or undermine) the behaviours you’re trying to drive.

You can have well-designed training, content, tools, and processes – but if nothing in the system reinforces them, behaviour change will be temporary at best.

Reinforcement is what turns a program from a moment in time into a sustained operating rhythm.

Output of this step

By the end of this step, you should have a simple lever blueprint that, for each priority output and associated behaviours, outlines:

• The diagnosed gaps (capability, resources/tools/process, information, incentives, capacity).
• The levers you’ll use to address them.
• The owners (enablement, managers, RevOps, leadership, etc.) for each lever.

This blueprint becomes the foundation for the next phase, where you’ll sequence the enablement journey and design the concrete components of the program.

Step 5 – Design the enablement journey

By this point, you’ve defined what needs to change and which levers will drive that change.

The next question is sequencing: “What needs to happen, in what order, for behaviour to realistically shift in the field?”

This step is about designing the enablement journey: the coordinated sequence of actions across training, coaching, content, tools, process, and reinforcement that turns your lever blueprint into lived reality.

Importantly, this is not just learning design.

In most programs:

• Some changes must happen before learning (e.g., tools, templates, process clarity).
• Some happen alongside learning (e.g., coaching, feedback, inspection).
• Some happen after learning (e.g., reinforcement, incentives, manager cadence).

If you ignore sequencing, even well-designed initiatives collide with the reality where reps are trained on behaviours they can’t yet execute, managers are asked to coach without shared standards, content exists but isn’t embedded into workflows, and tools are launched without clear processes.

Designing the enablement journey means deliberately answering questions like:

• What must be in place before reps are asked to change behaviour?
• Which levers need to activate together?
• Where does manager involvement begin?
• When does reinforcement take over from enablement-led activity?

And we’ve already seen, learning is not always the answer.

In many cases, the performance gap has nothing to do with capability at all. It may be driven by missing tools, unclear processes, lack of reinforcement, or capacity constraints – which is why the enablement journey must extend far beyond training.

However, when capability is the primary gap – when reps genuinely need to develop new skills or mental models – the way you design that learning journey becomes critical.

Over the years, the most effective model I’ve found for this comes from enablement and performance expert Mike Kunkle: the 5 Stages of Sales Mastery.

This model is especially useful because it doesn’t treat learning as a single event. Instead, it reflects how skills are actually developed, applied, and sustained in real sales environments.

The 5 Stages of Sales Mastery model

The model breaks capability development into five distinct stages:

1. Learn
2. Remember
3. Practice
4. Apply
5. Master

Each stage addresses a different failure point between knowing something and consistently doing it in the field – and each requires different actions and owners.

Below is a practical overview of the five stages and how to think about them when capability development is required.

1. Learn – Build initial understanding

This stage is about introducing new concepts, frameworks, and skills.

Reps are exposed to what to do and why it matters; for example, a new discovery approach, qualification framework, or value narrative.

Typical activities here include workshops, e-learning, or instructor-led sessions.

But, as we’ve already stated, learning alone only creates potential, not performance.

2. Remember – Prevent forgetting

Just because reps learned something doesn’t mean they’ll retain it.

This stage exists to reinforce key concepts and counter the natural forgetting curve.

Lightweight reinforcement mechanisms – such as recap materials, short assessments, prompts, or manager check-ins – help keep the learning accessible and top of mind.

Without this stage, even strong training fades quickly.

3. Practice – Convert knowledge into skill

Knowing is not the same as doing.

This stage focuses on safe, structured practice, where reps can experiment, make mistakes, and receive feedback before applying skills in live deals.

Role plays, simulations, scenario-based exercises, and peer practice are common here.

Practice is where learning starts to turn into behaviour.

4. Apply – Execute in real deals

This is where capability meets reality.

Reps apply the skill in live customer situations, supported by managers, content, tools, and clear process expectations (depending on what’s required).

Coaching plays a central role here – helping reps reflect on what worked, what didn’t, and how to adjust in context.

Many programs fail at this stage because reps are expected to apply skills without sufficient support or reinforcement.

5. Master – Sustain and improve over time

Mastery isn’t about doing something once; it’s about doing it consistently and well, even under pressure.

This stage is driven by ongoing coaching, inspection, feedback loops, and reinforcement mechanisms embedded into the operating rhythm.

Over time, the behaviour becomes habitual, performance stabilises, and outcomes improve.

When the gap is not capability: a non-learning enablement journey

As we’ve already established earlier, not every enablement journey revolves around learning.

In many programs, the core issue is not knowing what to do, but the system making it hard to do it consistently.

For example, imagine a program designed to improve deal qualification quality, where diagnosis shows:

• Reps broadly understand qualification frameworks.
• The real issues are inconsistent standards, weak inspection, and poor workflow support.
• Managers lack a shared definition of “good enough”.

In this case, a learning-led journey would add cost without solving the problem.

The enablement journey might instead look like this:

Before behaviour change

• Qualification standards clarified and documented (what “qualified” actually means).
• CRM fields and stage criteria updated to reflect those standards.
• Example deals published showing strong vs weak qualification.
• Managers aligned on inspection expectations and cadence.

During execution

• Stage progression gated on evidence, not rep confidence.
• Managers inspect qualification outputs in deal reviews using a shared rubric.
• Coaching focuses on decision quality and missed signals, not framework theory.
• Enablement supports managers with prompts, examples, and calibration.

After initial rollout

• Reinforcement shifts fully to managers and RevOps.
• Trends reviewed monthly to adjust standards or friction points.
• No formal “training” required unless a true skill gap emerges.

In this journey:

• There may be zero classroom sessions.
• Behaviour changes because the system now rewards and reinforces the right execution.
• Learning, if it appears at all, is lightweight and just-in-time.

The sequencing still matters, but the levers are different.

What this step produces

By the end of this step, you should have a sequenced enablement journey that shows how behaviour change will realistically occur over time – not just what assets or activities you plan to launch.

Specifically, you should be clear on:

• Which levers activate when.
• Where capability development is required – and where it is not.
• How learning progresses from exposure → application → sustained performance when skills and knowledge are the gap.
• Who owns each stage (enablement, managers, RevOps, leadership, etc.).
• What support surrounds reps as they move from knowing → doing → mastering.

When capability is the primary gap, the 5 Stages of Sales Mastery give you a reliable structure to design learning that actually sticks.

When capability is not the gap, this step still matters – because it forces you to sequence tools, content, process, coaching, and reinforcement in a way that aligns with how work really happens.

Either way, the outcome is the same: you move from a collection of enablement initiatives to a deliberate journey that gives behaviour change a genuine chance to occur.

This journey becomes the execution blueprint for the program – and the foundation for the next step: defining how you will measure impact and demonstrate value over time.

Step 6 – Build the measurement plan

If you reach this far in the planning phase, you’ve already done the hard work most teams skip:

• You’ve defined the business result the program must influence (Level 4).
• You’ve mapped the outputs that drive it.
• You’ve defined the behaviours that create those outputs.
• You’ve diagnosed the gaps blocking those behaviours.
• You’ve designed the lever mix and sequenced the enablement journey.

Now you need a measurement plan that matches that performance logic.

Because without an explicit proof system, one of two things happens:

• the program gets judged on activity (“How many sessions did we run?”), or
• the program gets judged on outcomes only (“Did win rate move?”) with no credible story of contribution.

The goal of this step is to define what you will measure, when, and for whom – so you can show whether the program is working while you still have time to adjust it.

Start with a simple measurement architecture

A strong measurement plan does three things at once:

• Tracks the performance chain (Kirkpatrick) – so you can see whether learning → behaviour → results is actually happening.
• Clarifies ownership (Own–Shape–Support) – so you measure enablement on what it truly controls, and you don’t over-claim what it merely influences.
• Separates program measurement from business dashboards – so your program isn’t trying to “own” the entire revenue dashboard; it’s proving contribution through the parts of the chain it’s designed to move.

This means you want to think in two layers:

1. Program scorecard (what you actively manage) – This is your working instrument to inspect whether the program is creating change. It should include metrics tied to Own + Shape (and a small number of Support outcomes as the “north star”).
2. Strategy-level dashboard (what leadership already runs) – This is where the business monitors overall revenue performance. Your program should connect to it rather than duplicate it.

Build the scorecard from the performance chain

Now, this is how to proceed with the creation of your program scorecard:

1. Level 4 – Results (Support outcomes you’re influencing)

Pick 1–2 north-star outcomes (not five). These are lagging and should have already been defined in the very first step of the planning phase.

Examples:

• Discovery → Proposal conversion (Mid-Market)
• ACV (Mid-Market)
• Sales cycle length (by segment)
• Forecast accuracy (by team)

You’re not claiming full attribution here. You’re saying: “This is the outcome we’re supporting, and below is how we’ll show progress through the chain.”

2. Level 3.5 – Output quality metrics (execution evidence)

This is where enablement measurement becomes real.

You already defined the critical outputs (discovery package, demo package, proposal package, MAP, etc.).

Now define how you’ll inspect the quality of those outputs as they are produced in real execution.

Examples:

• Discovery notes quality score (based on a rubric)
• Qualification template completeness and reasoning quality
• Proposal package quality (outcomes narrative present, quantified ranges present, stakeholder alignment present)
• MAP quality (owners, dates, dependencies, buyer validation)

These are usually your highest-signal leading indicators because they are:

• observable,
• coachable,
• and directly linked to the behaviour chain.

3) Level 3 – Behaviour (field execution)

Here, you assess whether the behaviours you designed for are actually showing up in live work.

This step moves measurement from outputs produced to actions taken.

Define how you will observe and verify behaviour in the field, using evidence from real execution rather than self-reporting.

Examples include:

• Call reviews and conversation intelligence – Tracking the presence and quality of target behaviours (e.g., layered questioning, problem framing, value articulation) through scorecards, tagging, or structured review criteria.
• Deal execution behaviours – Measuring signals such as early multi-threading (stakeholder count, role mix), qualification discipline, or consistent use of value narratives across opportunities.
• Manager inspection behaviours – Assessing whether managers are actually inspecting the right things (outputs, reasoning, risks) during deal reviews and pipeline calls – rather than defaulting to report-only discussions.

These metrics sit at the hinge point of the entire program.

They show whether training, coaching, content, tools, process, and reinforcement (depending on the selected lever mix as not all programs activate all levers) are translating into real-world behaviour.

4) Level 2 – readiness (capability or execution readiness)

This layer measures whether people and the system are ready to perform – before live behaviour is judged as a success or failure.

Crucially, Level 2 is conditional.

Not every enablement program requires learning/capability readiness metrics.

Some program require system, process, or reinforcement readiness instead.

Level 2 exists to answer one gating question: “Given the levers we’ve activated, are people and the system ready for consistent field execution?”

What you measure at this level depends entirely on the diagnosed performance gap.

When capability is the gap

When new skills or mental models are genuinely required, Level 2 verifies that learning has occurred before you expect reliable behaviour in live deals.

At this stage, you are not trying to prove business impact.

You are confirming minimum viable capability.

Ask:

• Have reps acquired the baseline skill required?
• Can they demonstrate it in a controlled or supported setting?
• Are they improving with practice?

Examples of appropriate Level 2 measures in capability-led programs include:

• Scenario-based assessment performance – Evaluation of decision-making and application in realistic scenarios.
• Roleplay evaluation scores – Assessed against the same rubric used later for live calls or deal reviews, ensuring continuity from learning → field.
• Certification or readiness outcomes (where used) – Only meaningful if tied to observable standards and behaviours; not completion for completion’s sake.
• Practice quality and progression over time – Tracking participation and improvement across repeated practice cycles (e.g. baseline → coached → re-assessed).

The signal you’re looking for at Level 2 is simple:

“If reps were placed into the field tomorrow, do they have the minimum capability required to execute the behaviour at an acceptable standard?”

If the answer is no, don’t move on to behaviour measurement yet.

When capability is not the gap

When performance issues are driven by tools, process, standards, reinforcement, or capacity – Level 2 still matters, but learning metrics do not.

In these cases, Level 2 measures execution readiness, not skill acquisition.

The question shifts to:

“If reps changed their behaviour tomorrow, would the system support or sabotage them?”

Examples of appropriate Level 2 measures in non-learning-led programs include:

• Output standard clarity – Can reps and managers accurately describe what “good” looks like for the required outputs (using the same rubric that will later be inspected)?
• Workflow and tooling readiness – Are required CRM fields, templates, AI prompts, or process steps completed correctly in test runs or pilot scenarios?
• Process adherence in controlled conditions – When reps follow the new process in a low-risk or simulated environment, does it work without friction or confusion?
• Manager readiness indicators – Can managers consistently inspect outputs, apply standards, and explain how they would coach gaps?
• Pilot or dry-run output quality – In a small sample, do outputs meet minimum standards once tools and processes are in place – without additional training?

Only once readiness is confirmed should you expect behaviour to show up consistently in live execution – and that is where Level 3 we described above begins.

5) Level 1 – Reaction (useful, but never the headline)

Reaction measures whether the program lands as relevant, credible, and usable in the eyes of participants.

It does not tell you whether performance changed – but it does tell you whether adoption is at risk.

Used correctly, reaction data is an early-warning system.

Examples include:

• Perceived relevance to real work – Does this clearly connect to the deals, situations, or decisions people face day to day?
• Perceived usefulness of resources, tools, training – Do reps and managers believe the artefacts introduced and sessions run will actually help them execute better, not just comply?
• Confidence to apply what was introduced – Do participants feel able to use the approach, tool, or resource as designed, even if they haven’t mastered it yet?
• Credibility of the program – Does this feel grounded in real selling and leadership priorities, or like another abstract initiative?
• Engagement with the format – Are the delivery mechanisms (sessions, materials, tools) accessible and workable, rather than frustrating or distracting?

Keep this lightweight and directional.

If reaction scores are weak, behaviour change is unlikely – but strong reaction alone should never be used as proof of impact.

Use OSS to set expectations on what you will be held accountable for

Based on the Own–Shape–Support model we discussed in previous sections, there’s a simple rule that keeps enablement credible:

• Own: You should have hard metrics on delivery and design quality – the things enablement directly controls (e.g., assets built to standard, training and tools aligned to defined behaviours and outputs).
• Shape: You should track adoption and execution quality trends – whether reps and managers are using what was built, and whether the quality of behaviours and outputs in the field is improving over time.
• Support: You should treat business outcomes as the north star – tracking movement in those metrics and telling a clear contribution story, but not claiming direct ownership.

This prevents the classic trap where enablement is asked to “prove ROI” on a number it can’t control – especially when the program isn’t being reinforced by managers.

Define leading vs. lagging indicators explicitly

If you don’t make this distinction explicit, you will measure too late.

By the time lagging indicators move, the program is already over – and you’ve lost the opportunity to course-correct.

Lagging indicators tell you whether the program worked.

They reflect business results and sit at the end of the performance chain (e.g., win rate, ACV, cycle length, forecast accuracy). They matter, but they change slowly and are influenced by many factors beyond enablement.

Leading indicators tell you whether the program is likely to work.

They show whether the mechanisms designed to drive performance are actually taking hold while the program is still in motion.

In enablement programs, the strongest leading indicators are rarely activity counts. They are signals of execution quality and reinforcement.

In most programs, your highest-signal leading indicators include:

• Quality of required outputs – Whether reps are producing the defined outputs (e.g., discovery notes, proposals, MAPs) to the expected standard, assessed against clear rubrics, not just completion.
• Manager inspection and coaching consistency – Whether managers are regularly inspecting those outputs, reviewing live work (calls, deals), and coaching against the behaviours the program is designed to improve.
• Behaviour scorecards in live execution – Evidence from call reviews, deal reviews, and workflow data showing that target behaviours are actually appearing in real selling situations beyond training environments.

When these indicators are trending in the right direction, outcome movement becomes plausible. When they are weak or inconsistent, no amount of patience will “save” the results later.

If you want to go deeper on how to distinguish KPIs vs metrics, and how leading and lagging indicators fit into a broader enablement measurement system, this piece may be helpful.

Decide cadence, owners, and data sources

One final thing to get right: measurement isn’t just about what you track. It’s operational.

For every metric in your program, you should be clear on how often it’s reviewed, who is responsible for acting on it, and where the data actually comes from.

Some signals need to be inspected weekly to guide execution, others make sense at a monthly cadence to spot trends, and outcome measures are typically reviewed quarterly once there’s enough signal to interpret movement.

The same applies to ownership.

Enablement may own the integrity of the program and its design, managers own day-to-day inspection and coaching, RevOps often owns data quality and reporting, and leadership owns the outcomes the program is meant to support.

When ownership isn’t explicit, metrics tend to get reported but not used.

Finally, every metric needs a credible data source.

That might be CRM fields, conversation intelligence, coaching tools, broader sales enablement software, or something else. If the signal can’t be reliably captured from a real system or operating rhythm, it will quickly be ignored.

I like to say that if a metric has no clear owner and no reliable source, it isn’t a usable metric in practice.

Output of this step

By the end of this step, you should have:

• A program measurement scorecard tied to the performance chain (behaviours → outputs → results).
• A clear split between program-managed indicators vs leadership dashboards.
• Defined leading indicators you can inspect early enough to course-correct.
• Clear ownership, cadence, and data sources for every measure.
• A credible contribution logic that links what enablement owns and shapes to the outcomes it supports.

That becomes the foundation for the next phase: executing the program while continuously inspecting whether change is actually happening.

Step 7 – Finalise the program charter

By this point, the planning phase has done its job.

You are no longer working with assumptions or surface-level framing. You’ve worked backwards from business outcomes, mapped the behaviours and outputs that drive them, diagnosed the real performance gaps, selected the right enablement levers, designed a realistic journey, and defined how impact will be measured.

Now it’s time to bring all of that together in the finalised program charter.

What changes at this stage

Earlier, in Phase 0, we defined the full structure of a strong program charter.

We also made an important distinction:

• before planning, the charter exists as a draft to sanity-check whether a program is needed;
• after planning, the charter becomes a fully specified execution document.

Step 7 is where that transition happens.

You are not inventing anything new here; you are working backwards through the planning work you’ve already completed and locking it into a single, coherent reference point.

If phase 0 asked, “Should this program exist?”, step 7 answers, “This is exactly how it will run.”

How the charter should now read

A finalised program charter should be readable in one or two pages, but dense with intent.

Each section you outlined earlier should now be grounded in evidence from the planning phase:

• Context and problem statement are now anchored in diagnosed patterns, not anecdotes.
• Audience and scope reflect deliberate trade-offs, not hopeful inclusion.
• North-star outcomes align cleanly with the Level 4 metrics you selected in the measurement plan.
• Critical outputs and behaviours map directly to the execution standards you intend to inspect and coach.
• Approach, levers, and reinforcement expectations reflect the actual gap diagnosis rather than a default to training.
• Timing and milestones align with the enablement journey you designed.
• Ownership and partners reflect who must act for behaviour change to occur, especially frontline managers.
• Assumptions and constraints are no longer abstract risks, but acknowledged operating realities.

Nothing in the charter should surprise you at this stage.

If it does, that’s a signal to revisit the planning work, not to “smooth over” the document.

The role of the appendix

To keep the charter sharp and usable, not everything belongs on the main pages.

A well-designed program charter is often supported by a program appendix or charter pack. This allows you to preserve clarity at the top level while still providing depth for those who need it.

Typical appendix components might include:

• Detailed behaviour and output rubrics
• The full measurement plan and scorecard logic
• Manager coaching guides and inspection criteria
• Reinforcement cadences and operating rhythms
• Detailed timelines, dependencies, or rollout plans

The rule of thumb is simple: if a stakeholder needs it to execute or inspect, it belongs in the appendix; if they need it to understand and align, it belongs in the charter.

Once again, if you want support in developing this artefact, I’ve created a program charter template that follows the structure outlined in Phase 0 and is designed to evolve from a draft into a final, execution-ready version as you complete the planning work.

Alignment and commitment gate

Before moving into execution, the program should pass a clear alignment and commitment checkpoint.

By this stage, co-creation and stakeholder involvement should already have happened throughout planning. Essentially, this is not the first time leaders or managers are seeing the program.

At a minimum, this gate should confirm that:

• Leadership sponsors explicitly endorse the program goals, trade-offs, and success criteria, and agree to protect time and attention for reinforcement.
• Frontline managers understand and accept their role in inspection, coaching, and enforcement of standards, not just participation in training (if any is occurring).
• Enablement is explicitly authorised to operationalise the agreed, non-negotiable execution cornerstones of the program, without renegotiating them ad hoc during delivery.
• No critical stakeholder role is implicit, which means that all cross-functional contributions required for execution are named, understood, and acknowledged before the program starts.

This does not need to be a formal ceremony.

It can be a sign-off, a steering meeting, or a written confirmation.

What matters is that, before execution begins, there is shared clarity not just on what the program is, but on how it will be run and who is accountable for making it stick.

If this commitment does not exist, the program is not ready for execution – regardless of how strong the design looks on paper.

A note on “worthy performance”

There’s one principle that sits underneath everything in this planning phase, and it’s worth making explicit before you move into execution.

The goal of an enablement program is not to maximise activity, behaviours, or even learning.

The goal is to increase the quality of valuable sales outputs and to produce them in enough volume to matter, at a cost that makes that performance sustainable.

This idea comes directly from performance engineering, particularly the work of Thomas F. Gilbert, who drew a sharp distinction between performance that is valuable and performance that is actually worth producing.

Gilbert expressed this through a simple relationship:

Worthy performance = Value of accomplishments ÷ Cost of behaviour

To avoid confusion, it’s important to translate this into enablement terms.

In Gilbert’s model:

• Accomplishments (A) are the valuable results produced by the performer – outcomes that sit fully within their control.In the context of this guide, these map directly to what we’ve been calling sales outputs: high-quality discovery notes, qualification summaries, proposals, mutual action plans, stakeholder maps, and similar artefacts that sellers and managers can directly produce and improve.These are not the final business outcomes (win rate, ACV, cycle length). They are the controllable execution results that contribute to those outcomes.
• Behaviour (B) in Gilbert’s terms does not refer narrowly to the observable selling behaviours we described earlier in the performance chain.Instead, it represents the total human cost required to produce the accomplishment – including time, effort, cognitive load, process steps, tooling friction, training overhead, and organisational complexity.
• Worth (W) increases when the value of the outputs rises or when the cost of producing them falls.

This distinction is critical.

Revenue organisations often focus heavily on “behaviour” in the everyday sense – more training, more activity, more process, more discipline – without being explicit about whether the outputs those behaviours produce are improving, or whether the cost of producing them is becoming unsustainable.

Worthy performance forces you to hold both sides of the equation at the same time.

In practical terms, it leads to two design principles that should shape your planning phase and program charter.

First, your program should increase the value of the outputs that drive business outcomes. That means raising their quality, relevance, and usefulness in real deals, while enabling those outputs to be produced across more deals and situations

Second, your program should actively reduce the cost of producing those outputs. Cost here is not just financial. It includes time away from selling, cognitive effort, process friction, manager overhead, over-training, and redundant enablement activity.

This is why diagnosis matters so much, and why the idea of a minimum effective lever mix is so important.

Capability building, for example, is one of the most expensive interventions you can make. It consumes time, attention, and opportunity cost, and it competes directly with live selling. If a performance gap can be closed through clearer standards, better tools, simpler workflows, or stronger reinforcement, those interventions often deliver higher worth – more accomplishment at a lower behavioural cost.

When programs default to “more training” without this lens, they may increase effort without increasing value.

Behaviour goes up, but worth goes down.

World-class enablement works in the opposite direction.

It engineers performance that is worth producing – where the value of the outputs clearly exceeds the effort required to create them, and where behaviours persist because they make sense in the flow of real work.

This principle should be visible in your final program charter.

If the program requires heroic effort to sustain, it is not well designed – regardless of how good the content, frameworks, or messaging look on paper.

What you should walk away with at this stage

By the end of this step, you should have:

• A single program charter (with the optional appendix) that accurately reflects the full design of the initiative – from strategic context and north-star outcomes to critical outputs, behaviours, levers, reinforcement expectations, and measurement logic.
• Clear alignment between strategy, planning decisions, and execution intent, with explicit trade-offs documented rather than implied.
• Clear organisational commitment to run the program as designed, including leadership sponsorship, manager accountability, and explicit cross-functional contributions required for execution and reinforcement.

With the charter finalised, Phase 1 is complete.

You’re now ready to move into execution – not as a collection of enablement activities, but as a deliberately designed performance system, engineered to produce valuable outputs at a sustainable cost, with clear standards, ownership, and proof.

Phase 2 – Execution

If Phase 1 was about planning & design, Phase 2 is where those plans start being put into action.

By this point, you should already know what needs to change, why, and which levers you will use. Phase 2 is not about selecting levers again; it is about operationalising the lever mix you deliberately chose during planning.

That means delivery will look different from one program to another.

Some programs will include formal training and practice.

Others will focus on standards, workflow changes, and manager inspection.

Some will reduce load and friction before adding anything new.

What I am going to layout below is not a universal playbook, but rather a set of execution principles and best practices you can apply depending on the gaps you diagnosed and the levers you activated.

To make this practical, I like to structure execution in three sub-phases: Preparation → Delivery → Reinforcement.

Preparation sets the conditions for adoption; delivery activates the lever mix in live work; reinforcement is what turns the initial change into sustained behaviour.

In my experience, the common failure mode at this stage is not poor content or weak facilitation, but skipping preparation, defaulting to familiar activities, or underestimating reinforcement.

Sub-phase 1 – Preparation

Before any form of delivery takes place, the organisation must be ready to run the program as designed.

By the end of Phase 1, alignment and commitment should already exist, and Preparation is mostly about operationalising that commitment.

Decisions made during planning are translated into the concrete expectations, routines, and system changes people will experience in their day-to-day work.

In practice, preparation usually involves:

• running explicit leadership and manager kick-offs to confirm expectations and non-negotiables,
• finalising and validating the manager enablement kit with managers,
• configuring tools, workflows, and reporting to support the agreed standards,
• and explicitly confirming organisational readiness before launch.

The purpose of this sub-phase is simple: when delivery begins, the program should no longer be theoretical; instead it should be ready to run.

Program kick-off and expectations alignment

Preparation usually starts with a formal program kick-off, not for reps, but for leaders and managers.

The purpose is to confirm:

• what will change in day-to-day execution,
• what leaders and managers are expected to do differently,
• and what will be enforced once the program goes live.

At minimum, the kick-off should cover:

• What becomes the execution standard – Which critical outputs and behaviours the program is designed to change, and which enablement levers will be used to support and reinforce them during the program window.
• What is not changing – What remains explicitly out of scope, including motions, stages, segments, or adjacent problems this program is not attempting to solve, even if requested later.
• How success will be judged in-flight – Which leading indicators will be reviewed ongoingly during execution (e.g., outputs, behaviour signals, reinforcement activity) and how often.
• What leaders and managers are committing to – What they will inspect, coach, and reinforce differently during the program, where this will show up in existing routines, and how consistency will be maintained over the program period.

If this conversation does not end with clear agreement on these aspects, you are not ready to launch.

Manager enablement kit

In planning, managers helped define the problem, standards, and trade-offs. In preparation, managers are enabled to run the program day-to-day alongside enablement.

The manager enablement kit allows the program to become executable without enablement being always present and it should be finalised with managers, not handed to them cold.

It is a good opportunity to pressure-test whether the program can actually live inside real operating rhythms.

Specifically, you sanity-check:

• whether inspection tools make output quality visible in real deals,
• whether coaching guidance helps managers diagnose why outputs fall short of standard,
• and whether the expected cadence fits naturally into existing 1:1s, deal reviews, and pipeline calls.

At minimum, the kit should answer the following three practical questions for every manager.

What do I inspect?

The outputs that indicate whether the program is working in live execution.

These are the concrete artefacts reps produce as part of real deals (for example: discovery notes, executive briefs, proposals, mutual action plans), assessed against clear, observable standards.

Inspection here means:

• reviewing the output itself,
• comparing it to an agreed rubric or checklist,
• and determining whether it meets the expected quality bar.

This should be evidence-based assessment of work produced.

How often do I inspect it?

The minimum inspection cadence required to spot issues early enough to intervene.

This might include:

• reviewing a sample of outputs weekly during deal reviews,
• inspecting specific artefacts before stage progression,
• or running periodic quality spot checks across the team.

The goal is early detection that supports course correction via coaching.

What do I coach when it’s not good enough?

When an output falls below standard, coaching focuses on the behaviours that produced it.

This is where managers move from inspection to diagnosis.

Rather than saying “this isn’t good enough”, managers use structured guidance to explore:

• what the rep did (or didn’t do) during the call or interaction,
• which decision points were missed,
• and what to do differently next time to produce a higher-quality output.

In practice, this often shows up in:

• Deal reviews, where managers review the output and ask targeted questions about how it was created.
• Call reviews, where managers link moments in the conversation to gaps in the resulting output.
• 1:1 coaching, focused on practicing or rehearsing the specific behaviour that needs improvement.

If we summarise some key differences: inspection focuses on what was produced, while coaching focuses on why it looks the way it does and how to change it next time.

What the manager enablement kit typically includes

A practical kit usually contains:

• Output rubrics or checklists that define what “good” looks like.
• Review prompts that guide managers on what to look for and what to ask when reviewing outputs or calls.
• Coaching guidance with concrete examples of strong vs weak execution, suggested coaching angles, and potential supporting templates.
• Clarity on manager expectations, including how inspection and coaching activity will be tracked.

If managers cannot confidently inspect outputs, diagnose the underlying behavioural gap, and coach toward improvement without enablement in the room, the kit is not ready.

A common secondary gap

In many organisations, this step surfaces a secondary issue: managers themselves may not be confident coaches.

When that happens, manager coaching enablement becomes part of the program’s lever mix, including things like:

• short enablement sessions on how to coach against the program standards,
• guided live reviews with enablement,
• or practice-based coaching clinics for managers.

This should be treated as a deliberate intervention, not an afterthought.

Readiness check

The readiness check in the preparation sub-phase focuses on verifying that the system can actually support the behaviour change you’re about to ask for.

Only once leadership and managers are aligned and enabled should you run this step. Treat it as a formal go / no-go decision rather than a soft sense check.

A strong readiness check answers one core question:

“If reps start working differently tomorrow, will the system make that easier, harder, or impossible?

To answer that, you need to validate five areas.

1. Execution infrastructure

The tools and workflows reps use and adopt every day must reflect the agreed standards.

That typically means things like:

• CRM fields, templates, or stage criteria updated and enforced.
• Any required workflow steps embedded where the work actually happens.
• AI prompts or guidance aligned to the expected outputs and behaviours.
• Sales enablement platforms configured to support the program journey.

If reps can bypass the standards without friction, readiness is not achieved.

I want to stress this is a very critical point.

Any program that relies on voluntary compliance, memory, or goodwill is fragile by design. When standards are optional, they will be followed when pressure is low and abandoned when deals become urgent.

Readiness means the system itself reinforces the change. The expected outputs and behaviours must be easier to follow than to avoid, and deviations must surface naturally through the workflow.

If a rep can progress a deal, submit a forecast, or send a proposal without producing the required evidence or meeting the agreed quality bar, the program is asking people to fight the system rather than work with it.

In that case, delivery may still happen, but sustained behaviour change will not.

2. Content and examples

Reps and managers need concrete reference points.

Check that:

• updated templates are live and easy to find,
• “good vs weak” examples are published and annotated,
• examples reflect real deals and scenarios, not idealised cases.

If people have to ask, “Can you show me what good looks like?”, the answer should (ideally) already exist.

3. Measurement and visibility

Leading indicators must be inspectable from day one.

Confirm that:

• dashboards or reports are live,
• output quality and behaviour signals can be captured reliably,
• ownership for reviewing and acting on those signals is clear.

If measurement only works at the end of the program, you’re measuring too late.

4. Operating cadence

The program must already be present in calendars before launch.

Validate that:

• delivery sessions, clinics, or working meetings are scheduled,
• manager inspection and coaching rituals are explicitly booked,
• leadership review checkpoints are pre-scheduled to inspect progress, reinforce expectations, and make adjustment decisions.

“We’ll fit it in later” is a warning sign.

5. Access and permissions

Finally, remove all practical friction.

Ensure that:

• reps and managers have access to the required tools, templates, and platforms,
• permissions are set correctly,
• nothing depends on last-minute manual workarounds.

Small access issues can compound quickly once execution starts.

Output of the preparation sub-phase

By the end of preparation, you should have:

• Confirmed leadership and manager alignment on what the program will enforce, what remains out of scope, and how success will be judged in-flight.
• A validated manager enablement kit that managers can confidently use to inspect outputs, diagnose gaps, and coach behaviours without enablement present.
• Operational readiness across systems and routines, with tools, workflows, content, reporting, and calendars configured to support the agreed standards.
• An explicit go / no-go decision that the organisation is ready to run the program as designed, not as a best-effort interpretation.

If preparation has done its job, delivery should not introduce surprises; instead, it should activate a system that is already aligned, equipped, and ready to perform.

Sub-phase 2 – Delivery

Delivery is the execution layer of the lever mix you deliberately selected during planning – whether that includes capability building, clearer standards, workflow changes, reinforcement, or incentives alignment.

The mistake many teams make is assuming delivery means “run sessions”.

In reality, delivery means activating change in live work.

If preparation ensured the organisation can run the program, delivery is where reps actually experience it.

Rep-facing program kick-off

Once readiness is confirmed, the first step that marks the transition from preparation to delivery is the rep-facing kick-off.

Such a kick-off is not a deep-dive training session, but rather a communication and expectation-setting moment.

The purpose of the session is to clearly explain why the program exists, set expectations about what will change and what will not, and visibly demonstrate alignment between leadership, managers, and enablement before any learning or practice begins.

If preparation ensured the system is ready to support change, the kick-off ensures people understand the change that is coming and how it will be handled.

The kick-off should involve:

• Leadership – to reinforce why this matters now and why it takes priority over competing noise.
• Frontline managers – to signal how this will be supported, inspected, and coached in day-to-day work.
• Enablement – to explain what will change, how support will show up, and how the program will run.

The presence of all three is what distinguishes a strong, credible program from a one-off enablement activity no one believes in.

Then, as it relates to what the kick-off should cover, keep this tight, concrete, and execution-oriented; consider including:

• Why this program exists – The specific performance problem being addressed, grounded in evidence rather than opinion.
• What’s in it for reps – The practical benefits the program is designed to create in day-to-day selling for them. This should be stated explicitly, not implied.
• What is changing in day-to-day execution – Which outputs matter more, which behaviours are expected to improve, and where reps will feel the change (workflows, templates, inspection).
• How performance will be reinforced – What managers will inspect, how often, and how coaching will show up (differently) during the program.
• What is not changing – Clear boundaries to protect focus and reduce anxiety.
• What happens next – The first delivery step, when it starts, and what reps should expect in the coming weeks.

The “what’s in it for reps” agenda item is extremely important.

Many reps have seen too many programs that increase effort, add process, and promise long-term benefits while making today’s work harder. If the kick-off cannot articulate where this program is expected to do things like reduce friction, increase clarity, or improve decision quality, scepticism is rational.

Beyond that, there is the simple reality anyone sitting in a session that explains an upcoming way of operating will naturally be wondering what they personally will get out of it, and why they should get on board in the first place.

After this session, reps should be able to answer one question clearly:

“What will be different about how my work is done, evaluated, and supported during and after this program – and how does that help me perform better?”

This step is all about clarity.

If reps understand what’s in it for them, what will matter more, how managers will engage differently, and what to expect next, then delivery can build capability on top of a shared, stable foundation.

If they don’t, execution will feel arbitrary – and resistance will show up later. It’s guaranteed.

Perform the delivery path based on the diagnosed gap

Once the program is live with the kick-off, the first real execution action is the delivery of the enablement journey that was defined in planning.

Delivery should be driven by the diagnosed performance gap, not by habit, preference, or what enablement happens to have ready.

At a high level, different gaps demand different delivery paths:

• If the primary gap is capability, delivery will likely include structured learning and practice, designed to build a specific set of skills or mental models required to meet the output standard.
• If the gap is clarity or standards, delivery should lead with concrete exemplars, rubrics, and inspection routines. The goal is not to teach how to do the work, but to make what good looks like unmistakable.
• If the gap is tools or process friction, delivery should focus on workflow changes and embedded guidance. Reps should experience the improvement by doing the work differently, not by being told to remember something new.
• If the gap is capacity, delivery must start by removing load. Reducing steps, simplifying decisions, or automating low-value work comes before introducing any new expectations.
• If the gap is incentives or reinforcement misalignment, delivery should prioritise aligning inspection, rewards, consequences, and decision rules. Content and training only make sense once the system stops rewarding the wrong behaviour.

Two implications matter here.

First, not every program will activate every lever.

Second, some programs may involve very little formal “delivery” in the traditional sense, because the work is done through system and reinforcement changes.

Let’s remember that the goal is to activate the minimum set of actions that make the desired behaviour easier to perform and harder to avoid.

If training is included, use the 5 sales mastery stages as the spine

(A reference model for the capability loop, not the program itself)

When capability has been diagnosed as a real gap, training becomes part of the delivery mix.

At that point, the risk is not whether to train, but how training is structured and reinforced.

This is where Mark Kunkle’s 5 stages of sales mastery are useful – as a capability loop inside the program, not as the program itself.

Used well, the model helps you avoid two common failure modes:

• compressing everything into a single training event, or
• measuring “completion” instead of readiness and execution.

In practice, the stages translate into five delivery intents – not learning theory, but guidance on how capability is built and sustained in execution:

1. Learn – Introduce the concept, framework, or skill. This is about understanding what to do and why it matters, tied to a specific output standard and the associated behaviours to produce it.
2. Remember – Combat the forgetting curve through timely and lightweight reinforcement (prompts, refreshers, manager check-ins, short assessments, micro-learnings) keeps the learning accessible and ongoing once reps return to live work. Without this stage, even strong training fades quickly.
3. Practice – Convert knowledge into skill through structured simulations, (AI) role plays, scenario-based exercises, scored against the same rubric managers will later use in real deals and conversations. This is where mistakes are expected – and useful.
4. Apply – Execute in live opportunities. Reps produce real outputs, in real deals, using real supporting materials and tools.
5. Master – Sustain performance under pressure. Consistent execution, reinforced through manager inspection and coaching, until quality stabilises across deals and time.

What’s important to highlight here is that, first, these stages only apply when capability is part of the problem; and second, even when they apply, they sit inside the program – not above it.

The program remains a performance system; training is just one lever inside that system.

Tie every delivery moment to outputs and the behaviour associated with those

Every delivery moment – training session, clinic, workshop, or practice – should start from the same place:

“What must the rep produce differently in a real deal?”

From there:

• behaviours and then the necessary knowledge and skills to exhibit them are taught only as the means to produce that output,
• standards are made explicit through rubrics or checklists,
• and “done” is defined in a way that managers can later inspect.

If a delivery moment cannot clearly answer:

• which output it is meant to improve
• how that output will be judged in the field,
• and which behaviours must change to produce it,

then it is just an activity, not a part of performance-focused delivery in the sense used here.

Integrate tools, resources, and AI into delivery

Delivery should not rely on memory.

If the program expects reps to use specific templates, collateral, scorecards, workflows, AI, or tools, those elements must be part of delivery itself – not introduced later or left to chance.

That means doing things like:

• building sessions around the actual templates and CRM fields,
• practising with the same scorecards managers will use,
• and demonstrating AI support where it genuinely reduces “behavioural cost” (e.g., drafting, structuring, summarising, synthesising).

Every delivery moment should end with a clear execution anchor – something that either produces a real output, prepares the behaviours required to produce it under inspection, or changes the system in which that output is created.

If delivery ends with “understanding”, “awareness”, or “good discussion”, the program is still theoretical. Behaviour change only starts when real work is produced, inspected, and coached in context.

Output of the delivery sub-phase

Delivery has only done its job when:

• reps are producing real outputs in real deals,
• those outputs meet the agreed quality standards, and
• managers are actively inspecting those outputs and coaching the behaviours that produce them.

Behaviour change does not start in sessions; it starts when work ships – and someone looks at it.

Sub-phase 3 – Reinforcement

Reinforcement is not a follow-up activity, and it is not something you “add later”.

Reinforcement is the mechanism that determines whether behaviour change sustains once delivery intensity drops.

Delivery introduces change, while reinforcement determines whether it survives.

Without reinforcement, even best-designed programs turn into mere episodic efforts: reps and managers revert to old habits, standards soften under pressure, and performance erodes quietly over time.

With reinforcement, behaviour has a chance to become habitual, output quality stabilises, and performance holds at a cost the organisation can sustain.

This is the point where the program stops relying on enablement presence and starts running through the operating system of the business.

Note: You’ll notice that some of the mechanisms in this phase – inspection, coaching, cadence, and system nudges – were already introduced during delivery, and that is intentional. In delivery, these mechanisms are activated and modelled to support change. In reinforcement, they become the primary engines that carry the program forward once enablement-led activity steps back.

Manager inspection and coaching cadence

Managers are the primary reinforcement mechanism in any revenue organisation.

They sit closest to day-to-day execution and control how work is reviewed, discussed, and prioritised. Through inspection routines, feedback, and coaching, managers shape what quality looks like in practice and what kind of behaviour persists under pressure.

Reinforcement starts by making inspection habitual and unavoidable, and that typically includes:

• Regular inspection of outputs – Weekly or bi-weekly review of output volume and quality (e.g. discovery notes, executive briefs, proposals, MAPs), assessed against the agreed rubric and not intuition or “deal feel”.
• Behavioural diagnosis through call evidence – Targeted use of call recordings or transcripts to diagnose why outputs meet or miss the standard. Calls are not inspected as outputs; they are used as evidence to trace output quality back to specific behaviours, decision points, or missed moments in execution.
• Coaching prompts linked to diagnosed behaviours – Managers coach deliberately against the diagnosed gap, using structured prompts that focus attention on the behaviours most likely to improve output quality, rather than generic feedback or advice.

Across all of this, managers need a system that guides them on what to inspect, when to inspect it, and how to respond when quality is off.

If inspection fades, reinforcement fades.

If reinforcement fades, desired behaviour regresses to old habits.

Peer accountability mechanisms

What I’ve learned from running many programs is that reinforcement does not have to rely solely on hierarchy.

In many effective programs, peer mechanisms play a powerful supporting role alongside manager inspection and coaching.

Peers create visibility, shared standards, and light social pressure in ways that feel immediate and credible – without adding heavy process or formal oversight.

Used selectively, peer reinforcement accelerates norm-setting: it makes “what good looks like” visible across the group and makes deviation from the standard harder to ignore.

Common peer accountability mechanisms include:

• Peer review of outputs – Lightweight review of real artefacts (e.g., business cases, account plans, MAPs), assessed against the same rubric managers use.
• Peer review of behaviours (via call evidence) – Structured listening or review of short call excerpts, with peers identifying where target behaviours did or did not show up, using predefined criteria.
• Deal clinics – Small-group sessions focused on live deals, where reps present a specific output or decision (not the whole deal) and receive structured feedback tied to output quality and decision logic.

Peer reinforcement works best when it is:

• Time-bound – Used for a defined window within the program (e.g., the first 4–8 weeks), rather than becoming a permanent ritual that loses focus.
• Evidence-based – Grounded in real outputs, call excerpts, or decisions – not opinions, anecdotes, or abstract discussion.
• Tightly scoped – Explicitly linked to the program’s critical outputs and behaviours rather than used as a general forum for broad deal critique.

I’d like to stress that peer mechanisms are not a replacement for manager reinforcement. However, when designed deliberately, they reduce reliance on top-down control, speed up shared understanding of standards, and create momentum that formal inspection alone often cannot.

In-flow nudges and guidance

The strongest reinforcement mechanisms do not feel like reinforcement; they are embedded directly into how work is done.

This is where systems do the heavy lifting in the background – reducing reliance on memory, motivation, or good intentions.

Well-designed in-flow guidance does three things:

• it makes the right behaviour easier,
• it makes the wrong behaviour harder,
• and it removes the need for constant human intervention.

Below are a few examples to consider:

CRM-required fields and stage gates

Required fields, validations, or stage progression criteria aligned to the outputs and behaviours the program targets.

For example:

• requiring a discovery summary that meets a defined rubric score before moving from Discovery to Solution Fit,
• enforcing completion of specific qualification fields (problem, impact, stakeholders, next step) with evidence-based entries,
• requiring a stakeholder plan or success criteria field to be populated and reviewed before proposal approval,
• blocking forecast category changes unless required deal risks and assumptions are documented.

These mechanisms don’t “teach”; they quietly enforce standards in live execution.

Tool-level prompts and contextual guidance

Guidance surfaced inside the tools reps already use, at the point of work.

This can involve:

• conversation intelligence automated scoring and feedback that highlight target behaviours during call review,
• enablement platform prompts tied to opportunity stages or deal context,
• AI assistants that surface suggested questions, summaries, or checks based on what the rep has already captured.

The key is timing: prompts appear while the work is happening or right after an action has been completed.

Just-in-time checklists and decision aids

Lightweight prompts embedded where decisions are made – not buried in documents, playbooks, or training decks.

For example:

• a short checklist that appears when preparing for a discovery call,
• a deal review prompt that asks for evidence before forecast commitment,
• a proposal readiness checklist surfaced before sending materials to a buyer.

These are reminders of what “good” looks like at critical moments.

More generally, such mechanisms reduce reliance on memory and discipline, lowering behavioural cost by making the right action easier than the wrong one.

Cross-functional reinforcement

We all know that reinforcement breaks down when different parts of the organisation send conflicting signals.

It is for this reason that cross-functional alignment matters a lot.

In practice, this usually means:

• Sales leadership sponsors the program visibly and protects its priority. Holds managers accountable for running inspection and coaching cadences as agreed, and reinforces non-negotiables in leadership forums, forecasting, and reviews.
• Frontline managers own day-to-day reinforcement. Inspect outputs, diagnose behavioural gaps, coach against standards, and run the agreed routines in deal reviews, pipeline calls, and 1:1s.
• RevOps ensures systems reinforce the program rather than bypass it. Aligns stages, fields, dashboards, and approvals to the agreed outputs, standards, and inspection logic.
• Enablement stewards program integrity over time. Monitors whether reinforcement is happening as designed, supports managers if things break down, and adjusts based on evidence – without replacing manager ownership.
• Product and marketing (only where required) support execution where the lever mix depends on them, without introducing parallel initiatives that dilute focus.

The test is simple:

“Does the rest of the system reward the same behaviour the program is trying to reinforce?”

If not, reinforcement will lose its effectiveness and change won’t stick.

Run the program as an operating cadence

To close the reinforcement sub-phase, it’s useful to drive the point home that reinforcement only works when it’s rhythmic and owned.

That means treating the program like an operating cadence involving all the relevant stakeholders, and not solely reliant on enablement to stay alive.

At a minimum, this cadence should include three layers, with clear ownership.

Weekly or bi-weekly execution checks (manager-owned)

These have already been discussed in the manager inspection and coaching cadence section and focused on day-to-day reinforcement in the field:

• Managers inspect output quality and coverage against the agreed standards.
• Managers coach the behaviours that explain gaps in quality.
• Inspection and coaching activity is visible and open to feedback from enablement and leadership.

Monthly trend reviews (enablement + leadership)

Such reviews should be focused on pattern recognition and course correction:

• Enablement aggregates leading indicators (output quality, behaviour signals, inspection compliance, coaching quality and adherence).
• Leadership and enablement review trends and patterns within those data points.
• Friction points, adoption gaps, and unintended consequences are identified.
• Decisions are made on where to reinforce, simplify, or intervene for other adjustments.

This practice supports what you could call “program tuning”.

Milestone reviews (enablement + leadership)

Milestone reviews focus on explicit program decisions based on objective evaluations:

• Review progress against the success criteria defined in the program charter.
• Decide whether to adjust the design, extend reinforcement, or stop the program.
• Confirm whether the program transitions into business-as-usual or is formally closed.

These moments protect the organisation from endless “zombie programs” – initiatives that continue to consume time and attention, but no longer have clear ownership, standards, or measurable impact.

Discipline is fundamental here.

If managers stop inspecting and coaching, reinforcement weakens.

If reviews slip, standards soften.

If the appropriate decisions to course-correct are avoided, the program may never reach its desired impact.

Running the program as an operating cadence is what turns short-term behaviour change into sustained execution.

Output of the reinforcement sub-phase

Reinforcement has done its job when:

• output quality remains stable and continues to improve over time,
• the desired behaviours persist without constant enablement intervention, and
• performance holds at a (behavioural and resource) cost that the organisation can sustain.

At this point, I like to say that the program stops being “run” and evolves into how work is done.

That is the real signal of behaviour change – and, assuming the performance chain was correctly designed in the planning phase, the strongest indicator that meaningful business impact is likely to follow.

Phase 3 – Value demonstration & iteration

By the time you reach this phase, the program is already well underway or coming to a close.

However, that does not mean that measurement should start now.

As highlighted throughout this piece, multiple signals should already have been collected throughout execution: output quality, behavioural evidence, manager reinforcement activity, and early performance movement.

Leading indicators should have told you whether the program was likely to work long before final results emerged.

Phase 3 exists to do something different.

Its purpose is to close the loop.

This is where you step back from delivery and ask three disciplined questions:

• Did the performance chain we designed actually hold in practice?
• What evidence shows that the program contributed to behaviour change and execution quality?
• What decisions should the organisation now make as a result?

The ultimate aim of value demonstration is to show, with credibility, how the program influenced the system: what changed in execution, how that change showed up in real work, and whether it translated into meaningful business outcomes.

Many teams wait until the end and then hunt for a single ROI number. When results are mixed or delayed, the program is labelled “inconclusive”, regardless of whether execution actually improved.

World-class programs do the opposite.

They bring together evidence collected across the program lifecycle and interpret it against the logic defined in planning: outcomes → outputs → behaviours → levers.

This is also where the Own–Shape–Support model we introduced earlier becomes particularly useful.

In this phase, you are not trying to claim ownership of revenue outcomes, rather, you are are making clear, defensible connections between:

• what enablement owned and delivered,
• what behaviours and outputs it shaped in the field, and
• how those shifts plausibly supported movement in business metrics.

Only once that framing is clear does it make sense to organise and present the evidence.

That is the purpose of the first step in this phase.

Gather and interpret the evidence across the performance chain

The first step to take within Phase 3 is organising and interpreting what you have already been tracking during execution.

The goal is to consolidate evidence in a way that allows you to answer a simple but powerful question:

“Is there a coherent story that links what we designed and reinforced to what changed in the business?”

A practical way to do this is to group evidence along the same performance chain you used in planning.

Not to re-explain the model, but to create a common structure for interpretation.

You will typically draw from four evidence layers:

• Reaction – how the program landed and whether adoption risk existed.
• Readiness and learning – whether people and systems were actually prepared to execute as designed.
• Behaviour and output quality – whether execution in real work changed in observable, inspectable ways.
• Results – whether those changes plausibly contributed to movement in the business outcomes the program was designed to support.

Two points are worth stressing.

First, this is not a scorecard exercise where you would maximise and perfect every metric in isolation or “pass” each level of measurement as if it were a checklist.

Instead, you are looking for directional movement, consistency, and alignment across layers.

Second, the strength of your value demonstration rarely comes from results alone.

It comes from showing that:

• outputs improved before results moved,
• behaviours shifted before outputs improved, and
• reinforcement was present while those shifts were happening.

When that sequence is visible, outcome movement becomes credible, even if it is partial or still emerging.

Once the evidence is consolidated and interpreted, you are ready to do the real work of this phase: turning signal into meaning.

That is where narrative comes in.

Build the impact narrative

Building the impact narrative could be regarded as a sense-making exercise.

What I’ve learnt in my career so far is that metrics on their own rarely persuade; what builds confidence with stakeholders is a clear, credible story that explains what changed, why it changed, and how that change plausibly contributed to business outcomes.

In addition, a simple narrative structure helps you stay disciplined because you cannot jump straight to results without first establishing what actually shifted in execution.

A strong impact narrative usually follows six linked elements.

1. Establish the baseline (before)

Start by grounding the reader in reality as it existed before the program – so that you create a shared reference point.

Use the evidence you already collected during strategic alignment and planning:

• baseline output quality scores,
• common behavioural breakdowns observed in calls or deals,
• manager inspection patterns (or lack thereof),
• early diagnostic data that justified the program in the first place.

Here, you want to answer a simple question:

What did “normal” execution look like before we intervened?

Without this anchor, any improvement later may feel abstract or overstated.

2. Clarify what actually changed in the system

Next, describe what the organisation deliberately changed during the program.

This is where many teams become vague. Avoid that.

Be explicit about two things:

• what enablement shipped (tools, content, training, coaching, processes, reinforcement mechanisms), and
• what managers and leaders reinforced differently as a result.

For example:

• which outputs became non-negotiable,
• which behaviours were explicitly coached,
• which inspection routines became habitual,
• which system constraints or nudges were introduced.

This step should make it clear that change did not happen by accident. It happened because specific levers were activated and reinforced.

3. Show evidence of adoption and quality shift

Only now does it make sense to talk about uptake and execution quality, using the key leading indicators you defined during planning.

This assumes that earlier readiness conditions were met; namely, that participants found the program relevant and were capable of applying what was introduced, either in the form of training or other types of interventions. Reaction and readiness signals matter here, but primarily as gating evidence, not as proof of impact in their own right.

From this point on, the focus shifts decisively to whether the system behaved differently in live execution.

Use concrete signals such as:

• improvements in output quality against predefined rubrics,
• increased consistency of target behaviours in call reviews,
• higher compliance with inspection and coaching cadences,
• reduction in variance between teams or managers.

I am not going to go into the details of specific metrics here. My intent is to guide you indicate the areas those metrics should be anchored to.

Earlier in the planning phase, we already covered how to think about leading indicators and measurement design, and I referenced several resources that go deeper into that topic – so make sure to refer back to those.

In this step, you are ultimately trying to demonstrate that execution changed in a sustained and repeatable way – not just that people participated, agreed, or completed activities.

This is often the most important part of the narrative, because it demonstrates that the program changed how work was actually done.

4. Anchor the change in real deals

Beyond numbers, the narrative becomes more tangible when you move down to the deal level and bring in real examples from the field.

Look for concrete illustrations such as:

• deals where improved outputs changed buyer conversations,
• moments where better discovery or qualification altered deal direction,
• examples of managers intervening earlier because standards were clearer,
• cases where risk was surfaced sooner or decisions were better informed.

These do not need to be “heroic” wins.

What matters is that they make the causal logic of the program visible in practice – showing how changes in behaviour and outputs translated into different decisions and deal trajectories.

5. Connect to early and lagging results

With execution change established, you can now connect it to business outcomes.

You want to be referencing things like:

• early movement in relevant metrics (even if modest),
• trends that are consistent with the execution shifts observed,
• lagging indicators where enough time has passed to interpret them appropriately.

The language you use here matters a lot.

Let’s remember that you are not claiming sole attribution; you are showing plausible contribution based on a clearly defined performance chain.

Once again, this is where the Own–Shape–Support framing maintains boundaries and protects credibility.

6. Acknowledge limits and other factors

Finally, strong impact narratives are honest about what they cannot prove.

Explicitly call out aspects such as:

• external factors that influenced results,
• areas where data is still immature,
• parts of the system that did not change as expected,
• segments or teams where impact was uneven.

Don’t ever think that surfacing these limits will weaken the narrative because it actually does the opposite.

It strengthens it.

Leaders trust programs that demonstrate sound judgement, and acknowledging limitations directly supports better decisions about what to adjust, extend, or stop next.

Key takeaway

If you follow these steps when building the narrative, you create a clear explanation of the mechanism of change.

You will demonstrate that the program was not just delivered, but absorbed, reinforced, and expressed in real execution – and that any business impact observed followed a logical and observable path.

That narrative then becomes the foundation for everything that follows: interim updates, final impact reports, leadership conversations, and decisions about future programs.

Publish an interim impact pulse (only for multi-month programs)

For large programs that run over several months, value demonstration should not wait until the end.

At this point, you have already consolidated leading indicators, interpreted those early signals, and built a credible narrative of how execution is changing. An interim impact pulse allows you to use that evidence while it still has decision value.

This connects directly to the leadership review moments we touched upon in the reinforcement phase (the monthly trend reviews).

The interim impact pulse exists to step back and interpret what that execution is actually telling you.

You should think of this as much more than a “progress update” in the traditional sense; more like a true governance tool whose purpose is to:

• sustain leadership sponsorship and attention,
• reinforce non-negotiables while the program is still active,
• and enable course correction before patterns fully harden.

A strong interim pulse typically focuses on three things.

First, what is clearly working.

Where are output standards holding?

Where are behaviours showing up consistently?

Where is manager reinforcement strong and visible?

Demonstrating what’s working reinforces confidence in the program design and signals to leaders and managers that the effort is translating into real execution change.

Second, where friction or variance is emerging.

This might include uneven adoption across teams, manager inspection drifting, outputs improving in some contexts but not others, or signals that certain levers are underperforming.

Surfacing this early allows you to adjust reinforcement, simplify execution, or re-focus attention while it still matters.

Third, what decisions need to be made now.

An interim pulse should not end with observations alone, but with a clear asks or decisions, such as:

• extending reinforcement in specific areas,
• narrowing or sharpening standards,
• intervening with manager enablement,
• or deliberately stopping parts of the program that are not producing value.

When positioned this way, the interim pulse checks protect the program from big, unrecoverable failures.

It keeps leadership engaged, prevents drift, and reinforces the idea that this is a managed system and not a one-off initiative.

Note: Because the interim pulse happens while the program is still in motion, it is not primarily a review of lagging results. In most cases, it is simply too early for outcomes like win rate, ACV, cycle length, or forecast accuracy to carry meaningful signal. Instead, the interim pulse deliberately leans on leading indicators and execution evidence – the same signals you have already been inspecting throughout the execution phase.

Final impact report and next-cycle decisions

The final step in the value demonstration phase is the formal close of the program and the transition into what comes next.

Contrary to what some may think, the purpose of the final impact report is not celebration, justification, or self-defence, but to enable informed decisions.

A strong final report brings together everything you have built throughout the program lifecycle into a single, coherent artefact that leadership can trust.

At a minimum, it should include:

Program overview

A concise reminder of the original problem, scope, audience, and intended outcomes, grounded in the program charter.

This re-anchors the audience before you present evidence or conclusions.

Evidence across the performance chain

A structured summary of evidence at each relevant level:

• readiness and learning signals (where applicable),
• behaviour and output quality shifts,
• reinforcement consistency,
• and observed movement in supported business outcomes.

This should clearly reflect the Own–Shape–Support framing, so accountability remains credible.

The impact narrative

A clear, end-to-end story that explains how the program worked in practice:

• what was deliberately changed in the system (levers, standards, reinforcement),
• what shifted in real execution (behaviours and outputs),
• where it showed up in real work and deals, and
• how those shifts plausibly supported business performance.

This is where you place the narrative you built in the previous section steps.

What is now business-as-usual

Explicitly call out what should persist after the program ends.

This often includes:

• output standards that are now enforced,
• dashboards or inspection views that remain live,
• manager coaching and inspection cadences that continue,
• process or workflow changes that should not be rolled back.

Making this explicit prevents regression and avoids the program silently “ending” without lasting change.

Lessons learned

Be honest about what worked, what underperformed, and why.

This includes aspects such as:

• design assumptions that held or broke,
• levers that were more or less effective than expected,
• reinforcement mechanisms that carried the most weight,
• and constraints that limited impact.

Surfacing this organisational learning is critical, and I would argue it is often more valuable than the program’s results themselves – especially if the goal is to build a culture of continuous improvement rather than optimise for one-off wins.

Next-cycle recommendations

Finally, outline what the organisation should do next.

This might include:

• a follow-on program that builds on the same standards,
• a new program that tackles a related bottleneck,
• or a deliberate pause while execution stabilises.

The key is that the program does not simply end; it informs the next decision.

Closing the loop properly

When done well, this final step completes the promise you made at the start of the program.

Hopefully, you did not just deliver enablement activity; you designed a performance system, observed how it behaved, interpreted the evidence, and helped the organisation decide what to do next.

That is what distinguishes value demonstration from traditional reporting.

And it is what turns individual programs into a coherent, compounding enablement strategy over time.

I’ve also created a program impact report template (with example) that is available in my sales nablement membership to support this phase and translate the principles above into a practical working document.

Conclusion

This guide set out to do one thing clearly: lay out a coherent architecture for designing, running, and proving the value of sales enablement programs.

Across the phases, we worked through a full performance loop:

Strategy and context → program charter → planning & design → execution (preparation, delivery, reinforcement) → value demonstration & iteration.

One where each phase exists to serve a very specific purpose, and where each phase builds on top of what came before.

If there is one idea to hold onto, it is this: training is only an enablement lever, while programs orchestrate multiple levers (beyond training) to create a true performance improvement system.

World-class enablement does not win by running better sessions.

It wins by deliberately shaping the outputs sellers produce, the behaviours that create them, and the operating environment that sustains them over time.

That is why this guide focused so heavily on:

• working backwards from business outcomes,
• defining and inspecting real outputs,
• diagnosing performance gaps before selecting levers,
• designing reinforcement as part of the system, not a follow-up, and
• proving value through evidence and narrative, not post-hoc ROI claims.

When enablement is designed this way, impact is not accidental.

Outputs improve before results move, behaviours shift because the system supports them, managers reinforce because standards are clear, and value demonstration becomes credible because it reflects how work actually changed.

It is also important to be explicit about something else.

This sales enablement process and framework took months to develop, refine, and stress-test, and it demands rigour to apply well.

No team or organisation executes it perfectly.

We all know that reality is messy, constraints exist, phases overlap, and measurement signals are incomplete.

That is normal.

The goal is not to follow this guide as a rigid manual; instead it is to use it as a reference point.

Depending on your maturity, context, and constraints, different parts will be more immediately useful than others. Some teams will start by tightening output standards. Others by putting reinforcement mechanisms in place. Others by fixing measurement.

What matters is direction.

If each program you run is designed with slightly clearer outcomes, slightly sharper outputs, slightly stronger reinforcement, and slightly more credible proof, results will compound over time.

Steady progress counts much more than perfection.

To support the application of this framework in your sales enablement efforts, I have also created a complete sales enablement checklist that concisely summarises all critical steps of the four phases of best-in-class sales enablement programs.

If this guide helped you see enablement programs differently, I encourage you to explore the related articles, adapt the templates to your context, and continue building systems that make performance easier to produce.

Let’s work towards a future where enablement moves from episodic activity to a trusted performance discipline.