A sales enablement function can be productive, respected, and still have a surprisingly weak view of whether its work is improving performance.
I believe that the clearest indication of a performance-focused function is that it can explain the line between the business result(s) it wants to influence and the enablement work it is doing. That line includes the performance gap, the causes behind it, the change required in day-to-day work, and the evidence that would indicate progress.
I’ve found that this way of looking at it gives you a much stronger way to think about sales enablement performance. Rather than judging the function primarily through what it delivers, you can examine how its work contributes to changes in execution and, over time, broader sales performance.
There are also two levels to consider. At the initiative level, individual sales enablement initiatives should connect clearly to a performance need. At the function level, priorities, portfolio decisions, and accountability should follow the same reasoning.
So, what does that look like in practice?
Business outcomes and performance gaps provide the starting point
Enablement work shouldn’t begin with the requested deliverable.
A stakeholder may arrive asking for sales training, new sales content, a playbook, certification, or another tool. Those requests can be perfectly reasonable, but they don’t yet tell you what problem needs solving.
The starting point is the business result that needs to change and the performance gap behind it.
A commercial metric such as win rate, sales cycle length, or average deal size can tell you where the organisation wants impact. You still need to understand what is happening differently from the level of performance the business requires.
For example, if win rate has fallen, the immediate task is to establish where that gap is showing up, for which teams or segments, and how large it actually is.
The role of enablement shouldn’t be accepting the proposed solution and moving straight into delivery. It should be creating a clearer picture of the performance need first.
One useful way of doing this is to think through outcomes, outputs, and obstacles – the result you need, the work people need to produce to support it, and whatever is preventing them from doing that consistently. I explore that model further in my piece on simplifying sales enablement.
The function works on problems it can meaningfully influence
Not every important commercial problem should automatically become an enablement priority.
A performance-focused function looks at two questions together: how valuable would it be to close this gap, and how much influence can enablement and its partners realistically have over it?
Imagine renewal performance has deteriorated after a major pricing change. Account managers may need better negotiation support, and enablement could contribute to that. But pricing structure, discounting rules, contract terms, product value, and customer experience may explain much more of the problem.
Making analyses like these, and interpreting the results correctly, is critical. Otherwise, enablement can end up being attached to important business metrics without having enough influence over the conditions producing them.
So performance focus also shows up in prioritisation as part of the broader sales enablement strategy. The function concentrates its resources where there is a meaningful problem or opportunity, a plausible route to influencing it, and enough value to justify the investment.
Sometimes, we need to accept that some performance problems belong elsewhere, or require several functions to work on them together.
Diagnosis comes before solution design
Once the performance gap is clear, the next question is why it exists.
A performance-focused enablement function treats that diagnosis as a genuine stage of the work, rather than a short conversation before building begins.
Performance may fall short because people lack knowledge or skill, but the problem could also sit in unclear expectations, broken processes, poor access to information, tooling, incentives, management behaviour, competing priorities, or the wider working environment. Several causes can exist at the same time.
Performance may fall short because people lack knowledge or skill, but the cause may be elsewhere. A poor process, unclear expectations, poor access to information, lack of tools, or misaligned incentives can produce the same visible problem even when the seller already knows what to do.
Take a sales team struggling with discovery.
Perhaps sales reps genuinely need to improve their questioning. At the same time, managers might rarely inspect discovery quality, the CRM may allow opportunities to progress with weak evidence, and pressure to create pipeline may encourage sellers to move deals forward too quickly.
Training could improve part of the problem while leaving most of the conditions producing the behaviour untouched.
The same principle applies to sales enablement technology. A sales enablement platform or other sales enablement tools can remove genuine friction, but adding technology won’t solve a performance problem that comes from unclear expectations, weak management, or a poorly designed process.
If you diagnose the wrong cause, even a well-designed programme can end up solving the wrong problem.
Solutions connect to diagnosed causes and real operating conditions
Once the causes are understood, you should be able to see a logical relationship between them and the intervention.
A capability gap might require practice and coaching.
An information problem may need a job aid or easier access to guidance.
A process issue could require changes to workflow.
A reinforcement problem might require managers to coach to the new behaviour, review it in one-to-ones or pipeline meetings, and make it part of how performance is assessed.
Often, the answer will involve several components working together. The important condition is that each meaningful part of the solution exists for a reason connected to the diagnosis.
There is another layer as well: the environment has to be able to support the intervention.
A programme built around weekly training and coaching will struggle if frontline managers have neither the time nor capability to reinforce it. A new sales methodology may be well designed but still fail to stick if CRM stages, pipeline reviews, and leadership language continue to reinforce the previous way of working.
In a performance-focused function, implementation conditions are part of the design rather than something considered after launch.
Good performance is observable
Broad objectives such as “improve discovery” or “sell value better” aren’t enough to guide performance.
A performance-focused function makes the required execution more concrete.
What should somebody do differently? What should they produce? What decisions should they make? Under which conditions? What would allow a manager to recognise whether the work meets the required standard?
Clear outputs, standards, and examples of good execution make the target performance easier to teach, practise, coach, and evaluate.
High performers can be a useful source of evidence here, but their results need to be interpreted carefully.
A strong rep may be benefiting from more experience, stronger accounts, better territory, existing customer relationships, or other conditions that won’t apply equally across the team. For this reason, their performance shouldn’t be treated as a blueprint without further analysis.
A better approach is to look for patterns across several sources. Interview high performers about how they approach the work, speak with their managers, and examine relevant performance data. Then separate the behaviours, decisions, and outputs that appear transferable from the advantages created by experience or environment.
Reinforcement sits inside the working environment
A performance-focused function doesn’t treat launch as the point where the work is finished.
Whatever has been introduced still has to survive contact with day-to-day work.
People need opportunities to use it, feedback on how they are doing, support when they get stuck, and enough reinforcement for the new behaviour to become part of normal execution.
Managers often play a central role. Coaching conversations, one-to-ones, pipeline reviews, inspection points, and feedback can all reinforce the standard enablement is trying to establish.
But the manager is only part of the environment.
Research into training transfer supports this broader view. A meta-analysis of 89 studies found positive relationships between transfer and factors including motivation and a supportive work environment. A later meta-analysis focused specifically on the work environment found that peer, supervisor, and organisational support were all positively associated with training transfer and the longer-term use of what people had learnt.
It’s important to look at what experienced peers model, how managers respond when people try the new behaviour, what systems and workflows encourage, what leaders pay attention to, and whether people get enough opportunity to apply what they have learnt.
I go deeper into this broader behaviour-change question in my piece on how sales enablement can drive behaviour change.
Measurement follows the chain from execution to outcomes
Another characteristic of a performance-focused function is that measurement doesn’t jump straight from enablement activity to revenue.
There is usually a chain in between.
Depending on the initiative, you may need evidence around adoption, changes in behaviour or work output, leading performance indicators, and eventually the business outcome itself.
Each of those measures tells you something different about what happened.
Course completion can tell you that somebody completed training. It cannot tell you whether their behaviour changed.
Evidence of behaviour change gets you closer to performance, but even that doesn’t prove that a later movement in win rate happened because of enablement. Pricing, market conditions, product changes, territory shifts, leadership decisions, and other variables may influence the same result.
Over longer sales cycles, those attribution problems can become even harder because more time passes between an intervention and the commercial outcome you eventually observe.
Most enablement teams won’t run controlled experiments around every programme, nor should they.
But the more important the initiative, the more useful it becomes to strengthen the evidence through approaches such as comparison groups, phased roll-outs, or pre/post analysis, while also combining quantitative data with manager observation and qualitative investigation.
Performance focus means being clear about what the evidence allows you to claim.
This also connects to a broader principle I’ve written about before in another of my articles: effective enablement links knowledge and skills to actions, outputs, and eventually outcomes.
The portfolio is reviewed through performance and value
Performance focus also shows up above the individual initiative.
A function may have strong programmes operating in isolation and still maintain a portfolio that has become too broad, outdated, or disconnected from current business priorities.
That is why established work needs scrutiny too.
Programmes, assets, recurring training, and other enablement efforts should periodically be reviewed against the problem they were created to address and the evidence available since then.
A lack of obvious impact shouldn’t automatically mean something gets removed.
Some initiatives need longer to show results. Others support strategically important capabilities where attribution will always be difficult. Sometimes the intervention is sound but implementation has weakened. And sometimes the measurement approach simply wasn’t good enough.
A performance-focused portfolio requires the function to weigh different forms of evidence before deciding what to continue, change, expand, or stop. This includes strategic importance, evidence of adoption and execution change, business movement, cost, opportunity cost, and what has been learnt since the work began.
From there, some work deserves further investment. Some needs reshaping. Other work has served its purpose and should stop.
Being willing to make those decisions is part of performance discipline.
Accountability reflects enablement’s actual contribution
The final characteristic sits in how the function itself is judged.
For a performance-focused function, accountability needs to reflect the different levels at which enablement can contribute to performance.
Measures such as training attendance, asset usage, or programme completion can tell you whether people are engaging with the work. They are useful indicators of reach and adoption, but they don’t show whether execution improved or whether the business result changed.
At the other end of the chain, holding enablement directly accountable for revenue growth, win rate, or deal velocity can also oversimplify the relationship. Enablement rarely controls those outcomes independently.
A stronger model connects the levels in between.
The function can reasonably be held accountable for the quality of its diagnosis, whether the intervention addresses the causes identified, the strength of implementation, adoption, evidence of behaviour or execution change, and the rigour of its evaluation.
Commercial outcomes still matter because they show whether the wider system is moving in the intended direction. But ownership will normally be shared across sales leadership, managers, Sales Operations, sales and marketing teams, product, enablement, and others.
Who owns sales enablement organisationally may differ from one company to another, and that structure will shape which conditions the function can directly control. What’s important here is whether those responsibilities are explicit, so enablement isn’t held accountable for factors owned by another team.
This applies whether the organisation calls the function sales enablement or revenue enablement. The scope may differ, but the performance discipline should remain the same.
A performance-focused function should be able to show the logic connecting its work to the performance it is trying to influence.
A function operating this way should be able to explain what performance it is trying to influence, why the gap matters, what is causing it, how the intervention addresses those causes, what conditions need to support the change, and what evidence would tell the team whether progress is happening.
