RICE Prioritisation Framework: How to Effectively Manage Sales Enablement Requests

Introduction

Sales enablement is moving closer to the strategic layer of GTM.

That shift is becoming easier to see both in my personal experience and broader research. Gartner points to a broader remit for enablement across the end-to-end buying journey, seller experience, technology, and cross-functional consistency. At the same time, more than half of CSOs believe enablement will support marketing and/or customer success roles within the next three years. 

But the operating reality has not caught up everywhere.

Highspot’s 2025 research found that 55% of organisations still struggle to execute GTM initiatives effectively, and 29% are still relying on disconnected GTM tools. So while enablement is increasingly expected to guide the business more strategically, many teams are still short on capacity, clarity, and a defensible way to decide what should happen first.

It is an all too common situation: one request comes from sales leadership, another comes from product marketing, and another comes from frontline managers. 

Each one sounds important, each one carries some logic, and, as a result, work starts piling up.

All of a sudden, enablement slips into reactive mode because there is no shared way to weigh requests objectively against one another. 

The team ends up juggling too many initiatives, with diluted focus and decisions driven more by urgency than by impact.

I explored this wider challenge in my article on the sales enablement intake process, where I looked at the broader governance system behind request capture, evaluation, and prioritisation. 

This piece zooms in on one practical part of that system: how to use the RICE prioritisation framework to score and sequence sales enablement requests more clearly.

Used well, such a framework can help you make better trade-offs, explain those trade-offs more clearly, and protect your team from becoming a well-organised clearing house for other people’s urgency.

Where RICE fits in the wider enablement intake process

Before getting into the framework itself, it is worth being clear about one thing: RICE is not a magic tool you apply to every request the moment it appears.

It works best when a request has already passed through some basic structure and is clear enough to be judged on its merits.

We know that not every request arrives in a usable state. Some are too vague. Others come with a proposed solution, but no clearly defined problem, no specific audience, no connection to a business goal, or no meaningful evidence behind them.

In those cases, the first job is not to score the request. It is to improve its definition.

This is why I do not see RICE as a standalone exercise. I see it as one part of a wider enablement intake process.

In my intake process article mentioned in the introduction, I describe that process as resting on two pillars: governance and prioritisation.

While governance creates the structure, ownership, and discipline around how requests enter the system, prioritisation helps the team decide which of those requests should move first. RICE belongs to that second pillar, but it only works well when the first one is already doing its job.

In practice, that means a request usually needs to pass a few basic readiness checks before scoring begins:

• Is the problem clearly defined?
• Is the audience specific?
• Is there some link to a business goal or OKR?
• Is there at least some evidence that the issue is real?

If the answer to those questions is weak, scoring too early creates a false sense of objectivity.

The numbers may look tidy, but the comparison will still be poor.

RICE should sit after intake and clarification, but before the final prioritisation decision. Once a request has enough context behind it, scoring becomes useful because it helps compare initiatives more consistently. It gives the team a shared way to assess likely reach, expected impact, confidence in the evidence, and the effort required.

Even then, scoring is not the final word. In a mature enablement system, it informs a broader prioritisation discussion, often through a cross-functional review where trade-offs, timing, dependencies, and strategic fit are considered alongside the score itself.

This article focuses on one practical part of that process: how to use RICE once a request is clear enough to be evaluated properly. 

What is the RICE prioritisation framework?

The RICE prioritisation framework is a simple scoring method used to compare competing initiatives more objectively and consistently.

It was originally developed by Intercom in 2017/18 as a way for product managers to prioritise product ideas more rigorously. In the original piece written by Sean McBride, RICE was described as a scoring system Intercom had developed internally from first principles, then tested and refined to compare very different types of work, whether those were new features, fixes, experiments, or the broader product roadmap. 

Over time, other functions adopted the model too because they faced the same underlying problem: too many valid requests, and not enough capacity to do everything at once.

As everyone in enablement will agree and as I illustrated earlier, this is also a major challenge in our industry.

RICE scoring model gives you a way to bring a bit more structure to the many decisions that need to be made as part of the work.

The framework looks at four factors:

• Reach – how many people, teams, or parts of the business the initiative is likely to affect
• Impact – how strongly it is expected to improve a meaningful outcome
• Confidence – how strong the evidence is behind your assumptions
• Effort – how much work it will take to design, build, roll out, and support the initiative properly

The formula is straightforward:

RICE = (Reach × Impact × Confidence) ÷ Effort

The basic logic is also simple.

An initiative should usually move up the priority list when it affects more people, is likely to create a stronger impact, and is backed by solid evidence. It should usually move down when the required effort is high relative to the value it is expected to create.

That does not make RICE objective in some absolute sense.

You are still making judgement calls, especially around impact and confidence. But it does give you a shared structure for comparing requests that might otherwise be discussed in vague or political terms.

The framework doesn’t remove the need for stakeholder discussion, but what it does do is make those conversations more disciplined. 

Instead of debating requests in abstract terms, you can start asking more useful questions: 

• How many people does this really affect? 
• What outcome is it likely to improve? 
• What evidence do we have? 
• How much work will it actually take?

Those are the kinds of questions that help prioritisation become more objective, and, which is very important in enablement, more defensible.

How to adapt RICE to sales enablement

RICE only becomes useful in enablement once you translate the four key factors and the way they are scored into a language your team can actually work with.

The original framework came from product management, where reach, impact, confidence, and effort were often estimated against users, features, experiments, and roadmap items. In enablement, though, requests tend to look a little different.

You are usually comparing things like onboarding redesigns, coaching programmes, certifications, content rebuilds, manager enablement, or product launch support. 

The categories change, yet the logic still holds. 

You are still trying to answer the same basic question: which initiative is most worth doing now, given the likely value and the effort required?

To make that decision consistently, each part of RICE needs a clear enablement definition.

Reach

In enablement, Reach is about who the initiative will affect and how many people it is likely to touch in a defined period.

That could mean:

• Eight frontline managers in one business unit
• 45 account executives across one region
• All new hires over the next two quarters
• The full commercial organisation globally

The key is to keep the estimate specific.

If you score Reach too loosely, almost everything starts to sound broad. “This will help sales” is not a useful estimate. “This will affect 32 SDRs in North America over the next quarter” is.

That said, pragmatically, it helps to treat those numbers as an input of the prioritization process, not as the score itself.

To keep comparisons consistent, I recommend converting reach into simple bands based on the proportion of the relevant population affected over a defined period.

For example:

• 3 = high reach – affects most of the target population or commercial organisation
• 2 = medium reach – affects a large team, region, or function
• 1 = low reach – affects a smaller team or limited role group
• 0.5 = minimal reach – affects a narrow audience or pilot group only

As a rule of thumb, score direct reach instead of every downstream effect. If an initiative influences a wider group indirectly, that broader effect is better reflected in Impact, not Reach.

Impact

In enablement, Impact is the expected strength of the outcome if the initiative works.

This is not about how good the idea sounds or how senior the sponsor is. It is about the scale of the result the initiative is likely to produce.

In practice, that result may show up at different levels, but the goal is always the same: improving business outcomes, either directly or through better performance.

At the business level, it might mean:

• healthier pipeline generation,
• higher win rates,
• fewer stalled deals,
• improved customer satisfaction,
• shorter ramp time, or
• better retention or expansion outcomes.

At the performance level, it might mean:

• stronger discovery quality,
• better manager coaching consistency,
• more accurate proposals, or
• better qualification discipline.

The key is to evaluate the impact score based on the significance of the likely result, not on how visible or popular the request is.

Impact is often the hardest part of the model to score consistently, because it requires a judgement about how much difference the initiative is likely to make if it works.

That is why it helps to keep the scale simple.

A practical version might be:

• 3 = high impact – likely to drive a meaningful shift in a core business metric or a systemic performance improvement
• 2 = medium impact – likely to improve a relevant area of performance, but in a more localised or indirect way
• 1 = low impact – limited or incremental improvement, with unclear or small business effect

When calculating the RICE score, these percentages are used as multipliers (e.g., 100% = 1.0, 80% = 0.8, 50% = 0.5).

You can add more nuance if needed, but in most enablement environments, I’ve found that a simple scale is easier to apply consistently.

Confidence

In enablement, Confidence is about the quality of the evidence behind the request.

This is where the framework becomes much more useful than a basic impact-versus-effort conversation.

Two initiatives may look equally promising on paper. The difference is that one is backed by clear, reliable data, repeated field signals, and strong examples, while the other is mostly a hunch or supported by weak data.

Confidence forces that distinction into the conversation.

It is not about certainty in the abstract. It is about how well the problem, the likely opportunity, or the expected gain is supported by evidence.

Useful inputs to score Confidence here might include:

• Call reviews
• CRM data
• Win-loss patterns
• Manager observations
• Survey data
• Repeated comments from the field
• Baseline metrics showing the current gap

A simple confidence score scale usually works well:

• 3 = high confidence – the request is backed by multiple strong signals or robust data
• 2 = medium confidence – there is some meaningful evidence, but it is partial, mixed, or incomplete
• 1 = low confidence – the request is mostly based on perception, anecdote, or limited validation

You could refine that further, but this is usually enough to separate solid requests from speculative ones.

Effort

In enablement applications of the RICE framework, Effort is the total amount of work required to design, deliver, embed, and support an initiative properly.

In my experience, this is where teams often underestimate.

They think about a specific asset or intervention and not the full motion around it, leading to a faulty cost-benefit analysis.

A certification, for example, is not just a training deck and a quiz. It may involve discovery work, stakeholder alignment, content design, facilitator preparation, manager enablement, communications between cross-functional teams, scheduling, roll-out, reinforcement, and follow-up measurement.

For this reason, effort should reflect the true delivery burden, not just the final output people can see.

In practical terms, this means accounting not only for production time, but also for coordination, dependency management, implementation effort, and the support needed to make the initiative stick.

A good way to score it is to estimate it in person-weeks (total effort required, e.g., a certification that takes 1 person for 4 weeks, or 2 people for 2 weeks, equals 4 person-weeks), or as a share of team capacity over a given period (e.g., ~25–50% of the team for a month).

To keep scoring consistent, these estimates should then be translated into a simple effort scale (e.g., low, medium, high, very high) before being used in the RICE calculation.

The exact unit matters less than the fact that your team uses the same effort logic across requests.

A useful scoring standard for day-to-day enablement

If you want RICE to work in day-to-day enablement, keep the scoring language simple and consistent.

All you need is a shared approach that makes comparison easier.

A practical version could look like this:

• Reach = 3, 2, 1, or 0.5 based on the size of the directly affected audience in a defined period
• Impact = 3 for high, 2 for medium, 1 for low
• Confidence = 3 for high, 2 for medium, 1 for low (based on strength of evidence)
• Effort = estimated in person-weeks or team capacity, then converted into a consistent effort score (e.g. low, medium, high, very high)

This gives you a model that is structured enough to support informed decisions, but simple enough that people will actually use it.

Once those definitions are in place, RICE stops being a product framework you borrowed from somewhere else and becomes a practical way to compare enablement requests on more solid terms.

Practical applied examples for sales enablement requests

A framework only becomes useful once you apply it to real situations.

To show how RICE works in practice, let’s look at two realistic enablement requests:

• A manager-oriented deal coaching framework designed to improve coaching quality and consistency.
• A discovery certification for account executives (AEs) aimed at improving early-stage conversations across the field.

Both are reasonable requests.

Both could improve performance.

The question is which one should happen first, given the likely value, the available evidence, and the effort involved.

Example one: manager-oriented deal coaching framework

Request summary

The sales leadership team wants enablement to create a manager deal coaching framework, along with a guide that managers can use in one-to-ones and deal reviews. 

The request applies to 12 frontline managers, who collectively oversee ~90–110 account executives across two regions.

Recent feedback suggests that managers spend most of their time inspecting the pipeline rather than coaching active deals. Internal surveys and leadership observations point to inconsistent coaching quality, but there is limited structured data linking this directly to deal outcomes.

The goal is to improve coaching consistency and help managers spend less time inspecting the pipeline and more time improving deal quality.

This is a strong enablement request.

It targets a real management behaviour, and it has the potential to improve decision-making and, therefore, win rates across the team. However, it is also one step removed from frontline seller execution, which matters when scoring Reach and Impact.

RICE scoring

• Reach: 2
• Impact: 2
• Confidence: 2
• Effort: 2

RICE score = (2 × 2 × 2) ÷ 2 = 4

Why was it scored this way

Reach is moderate. The framework applies directly to 12 managers, but indirectly influences a broader group of sellers through coaching. This creates leverage, but the exposure is less direct than a seller-facing initiative.

Impact is meaningful, but still best scored as medium. Coaching improvements can drive better execution, but the effect is indirect and depends on adoption, manager capability, and consistency over time.

Confidence is medium. There are repeated signals from leadership and the field, but the evidence is mostly qualitative, with limited baseline data linking coaching behaviour to measurable performance gaps.

Effort is moderate. A usable framework requires design, alignment with leadership, pilot sessions, and reinforcement. While not trivial, it remains a contained initiative with manageable dependencies.

Example two: discovery certification for account executives

Request summary

The enablement team is considering a discovery certification for account executives to improve the quality and consistency of early-stage sales conversations.

The initiative would apply to ~120 AEs globally, all of whom would participate directly in training, assessment, and certification.

The request is backed by multiple data points:

• Win–loss analysis showing ~40–50% of lost deals cite poor discovery
• Call reviews highlighting gaps in stakeholder mapping and problem validation
• CRM data showing low conversion rates from early stages
• Consistent feedback from managers about weak discovery execution

The goal is to strengthen discovery practices, improve qualification, and increase pipeline quality and conversion.

This is also a strategic request, but it sits closer to frontline seller behaviours that directly shape pipeline quality and deal progression.

RICE scoring

• Reach: 3
• Impact: 2.5
• Confidence: 3
• Effort: 2

RICE score = (3 × 2.5 × 3) ÷ 2 = 11.25

Why was it scored this way

The Reach score is high because the certification applies directly to a large population of account executives, with immediate and measurable exposure.

Impact is high, but slightly below the maximum to reflect execution variability. Discovery quality influences multiple core outcomes, including qualification, stakeholder coverage, deal progression, and pipeline health. Improvements here typically translate into measurable gains early in the sales cycle.

Confidence is high. The request is supported by strong and consistent evidence across multiple sources, including win–loss data, call reviews, CRM patterns, and manager feedback.

Effort is moderate. A certification requires content design, assessment criteria, facilitation planning, communications, scheduling, and reinforcement. Even so, it remains a structured initiative that can be delivered within a defined window.

What should happen first, and why

In this example, the discovery certification should happen first.

That does not make the manager-oriented deal coaching framework unimportant. It simply reflects the relative strength of the two initiatives at this point in time.

The certification offers a stronger combination of direct reach, expected impact, and evidence, even though it also requires meaningful effort to deliver, which is exactly the kind of trade-off RICE is designed to make visible.

It comes out ahead because it:

• reaches a larger share of the commercial organisation directly,
• connects more clearly to measurable business outcomes, and
• is supported by stronger, more consistent evidence.

Meanwhile, the manager coaching framework remains a valuable next priority, but not the immediate first move.

What RICE helps with, and what it does not

RICE is useful, but it does not solve prioritisation on its own.

It gives you a better way to compare requests, not a perfect answer for every decision. And like most frameworks, it works best when the request is clear, the scoring is thoughtful, and the wider context is still part of the conversation.

What RICE can help with

Used well, the RICE scoring model works for:

• Comparing requests more consistently. It gives your team a shared way to assess different initiatives against the same factors, rather than relying on instinct or whoever is making the strongest case in the moment.
• Reducing politics in prioritisation. It makes it harder for requests to rise purely because the sponsor is senior, the issue feels urgent, or the ask is repeated often enough to create pressure.
• Improving transparency. People can see more clearly why one request moved first, and another did not. Even when they disagree with the outcome, the logic is easier to understand.
• Making trade-offs more defensible. Instead of saying, “this feels more important”, you can point to reach, impact, confidence, and effort, and explain the decision in a more structured way.

What RICE cannot help with

It is just as important to be clear about the limits.

RICE cannot:

• Replace judgement. A score can inform the decision, but it should not make the decision on its own. Teams still need to weigh timing, sequencing, organisational readiness, and strategic fit.
• Fix vague requests. If the problem, audience, expected outcome, or supporting evidence is unclear, the scoring will be weak too. The framework does not compensate for poor definition.
• Remove the need for stakeholder discussion. Some trade-offs still need context, alignment, and conversation, especially when initiatives affect the same audience, depend on other work, or compete with broader GTM priorities.
• Perfectly capture long-term strategic value. Some initiatives matter because they unlock future work, support a major change in direction, or reduce risk over time, even if their immediate score is not the highest.

This is why I see RICE as a tool inside the process, not the process itself.

Common mistakes when using RICE in enablement

Most RICE mistakes happen when people ask the framework to do a job it was never meant to do.

They either apply it too early, score it too loosely, or use it as a way to justify decisions that were already half-made

That said, not every mistake comes from misunderstanding the model itself. Some come from the reality of organisational life, where influence, urgency, and stakeholder pressure still shape how requests get discussed.

Here are some of the most common mistakes I see:

• Scoring weakly defined requests – If the problem, audience, or expected outcome is still vague, the score will not mean much either. RICE works best once the request is clear enough to evaluate and compare properly.
• Inflating impact because the stakeholder is senior – A request from a senior leader may deserve attention, but impact still needs to be judged on likely business effect, not job title or internal influence.
• Underestimating effort by ignoring rollout and reinforcement – Teams often score the asset, not the full delivery motion. In enablement, effort usually includes design, alignment, rollout, reinforcement, and follow-through.
• Confusing broad reach with real impact – Just because an initiative touches a large audience does not mean it will change meaningful outcomes. Reach matters, but it should not be mistaken for value on its own.
• Treating the final score as a decision instead of an input – RICE helps structure the conversation. It does not remove the need for judgement, timing, or stakeholder alignment.

How to use RICE without becoming rigid

RICE works best when it supports decisions, rather than pretending to make them for you.

To keep the framework useful without becoming mechanical:

• Use it to support decisions, not automate them. Let the score inform the discussion, but do not treat it as the final word.
• Revisit scores when context changes. A request can look very different when business priorities shift, new evidence appears, or capacity opens up.
• Allow exceptions, but explain them clearly. Sometimes a lower-scoring initiative still needs to move first. If that happens, make the reason visible.
• Pair the model with intake discipline and review cadence. RICE is far more useful when requests are defined properly, reviewed consistently, and discussed in a regular rhythm.

That is usually the difference between using a framework well and hiding behind it.

Conclusion

I’ll repeat this main point once again: RICE will not solve prioritisation on its own.

Yet, I know it can give your enablement team something many teams still lack: a clearer, more consistent way to decide what should happen first.

When requests keep piling up, the biggest challenge is deciding which work deserves more generous resource allocation, time, attention, and follow-through that are always finite (often very constricting as well). The RICE framework ensures that this challenge is addressed objectively and in a structured way.

Ultimately, RICE gives you a shared language for comparing requests, pressure-testing assumptions, and explaining why one initiative moves now, while another waits.

This is often the difference between enablement that becomes/remains strategic and enablement that gets pulled back into reaction mode.

If you want to try it, start small.

Start with your current backlog. Pick three active or pending requests. Score them together with one sales leader or RevOps partner. Then compare the outcome to how you would have prioritised them by instinct.

An exercise like this alone will usually tell you two things very quickly: where your prioritisation is already sound, and where it still depends too much on a certain habitual way of thinking or gut feel.

That is a strong place to start.