In our previous article, we unpacked the difference between KPIs and OKRs and why that distinction matters for learning measurement. But understanding the difference is only the starting point.

The more important question is this. If KPIs tell us how learning is performing, what actually helps L&D improve performance?

This article takes that next step. It looks at the role OKRs can play in moving L&D beyond reporting activity and toward driving measurable business outcomes.

The Measurement Gap in L&D: Why Activity Isn’t Enough

Learning and development has come a long way over the past decade. Platforms are more capable. Content is easier to access. Learning experiences are more flexible and, in many cases, more engaging than before.

But one area has not kept up. Measurement.

In many organisations, L&D is still reported through activity metrics. Courses completed. Hours consumed. Satisfaction scores. These are easy to collect and useful at an operational level. They tell you something is happening. But they do not answer the question business leaders are really asking.

Are people actually performing better because of learning?

This is where the tension starts to show.

Executives are under pressure to improve productivity, reduce risk, and build capability faster. They want to see a clear link between learning and those outcomes. When that link is missing, L&D struggles to influence decisions or justify investment.

So a gap forms. Learning activity is visible. Performance impact is not.

Take a sales team as an example. Reporting that everyone completed a training programme sounds positive. But it says very little about whether conversion rates improved, whether deals are closing faster, or whether new hires are becoming productive sooner.

That is the real issue.

This is where a different approach starts to matter. Not a replacement for KPIs, but something that complements them and focuses on measurable change.

L&D needs a way to move beyond reporting activity and start driving performance.

KPIs vs OKRs in L&D: Why the Difference Matters

Before going further, it is worth resetting the basics. Not in a theoretical way, just enough to keep the distinction clear.

KPIs are familiar territory for most L&D teams. They track ongoing performance and give a sense of whether things are running as expected. Completion rates, learner satisfaction, compliance levels. These are steady-state indicators. They tell you the system is functioning.

OKRs work differently.

They are time-bound and built around change. An Objective sets a clear direction. Key Results define how progress will be measured. Instead of tracking what is happening, OKRs focus on what needs to improve.

A simple way to think about it.

KPIs tell you whether things are working. OKRs ask whether things are improving.

In practice, that distinction matters more than it might seem.

KPIs support reliability and governance. They make sure standards are met and risks are managed. OKRs create focus and momentum. They force teams to choose what matters most and measure whether progress is actually being made.

In L&D, measurement has tended to lean toward stability. Programmes run, participation is tracked, and systems are maintained. What is often missing is a structured way to move performance forward.

Both have a place. But they do very different jobs.

Why Traditional L&D Measurement Falls Short

Traditional L&D measurement sticks around for a simple reason. It is easy.

Most platforms generate activity data automatically. Completions, attendance, time spent, satisfaction scores. There is very little friction involved. For busy teams, that matters. It creates a sense of control and visibility.

But that ease comes with a trade-off.

These measures rarely answer the questions the business actually cares about. Are people performing better? Are new skills being applied? Is anything changing in a way that leaders can see and trust?

In many cases, the answer is still unclear.

This is where the gap widens. L&D can show that learning took place, but not whether performance improved. Over time, that weakens the connection between learning and business outcomes. The function starts to look like a cost centre rather than a performance driver. Conversations about impact become harder. Investment becomes more difficult to justify.

Even when more advanced frameworks are available, they are not always used in practice. Models like Kirkpatrick provide a way to think about behaviour and results, but they are often applied after the fact, if at all. In fast-moving environments, they can feel difficult to operationalise.

So the issue is not a lack of data.

Most organisations have more data than they know what to do with. The real problem is a lack of direction. Measurement tells you what happened, but not what needs to change next.

And that matters.

Without a clear link between learning and performance, measurement becomes descriptive rather than useful.

This is where OKRs start to introduce a different way of thinking.

Traditional measurement tracks activity. It rarely drives performance.

The Role of OKRs in L&D: From Measurement to Performance Change

If traditional measurement tells you what has happened, OKRs shift the focus to what needs to change.

At a practical level, OKRs introduce three things that are often missing in L&D measurement. Direction, focus, and measurability. Direction clarifies what needs to improve. Focus forces prioritisation. Measurability makes progress visible and actionable.

That alone starts to change how L&D operates.

Instead of delivering programmes and reporting participation, the conversation shifts to outcomes. Instead of asking how many people completed training, the question becomes what changed as a result. Did sales improve? Did error rates drop? Are teams performing differently?

This is where OKRs go beyond measurement.

They act as alignment and execution tools. An OKR connects a learning initiative directly to a business outcome and defines how success will be measured over a specific period. That creates shared focus between L&D and the business.

In a sales environment, for example, the focus might be reducing ramp time for new hires. In operations, it could be reducing rework or process errors. In regulated environments, it might be improving adherence to critical procedures. In customer-facing roles, it could be improving resolution rates or satisfaction.

In each case, learning is not the endpoint. It is part of a chain that leads to improved performance.

This highlights an important distinction.

KPIs monitor existing performance. They tell you whether standards are being met. OKRs are designed to change performance trajectories. They define where improvement is needed and track whether that improvement is happening.

They also change how teams work. OKRs encourage experimentation, shorter feedback loops, and ongoing adjustment. They force choices. Not everything can be a priority.

Which brings us to a more difficult question.

Do these principles actually hold up in L&D, where outcomes are not always easy to measure?

OKRs give L&D a way to actively shape performance, not just observe it.

Can OKRs Work in L&D And Where They Don’t

This is usually where scepticism shows up.

Learning outcomes can be difficult to measure. Behaviour change takes time. Soft skills are not always easy to quantify. And in many cases, it is hard to isolate the impact of learning from everything else happening in the business.

Those concerns are valid.

But they do not make OKRs unworkable. They simply change how they need to be applied.

OKRs work best in L&D when they are anchored in business outcomes rather than learning activity. The goal is not to improve completion rates or satisfaction scores. It is to improve performance in a way that matters.

Take leadership development as an example. Instead of measuring attendance or feedback, the focus might shift to engagement scores or attrition trends over time. In sales enablement, the connection might be between learning and conversion rates or revenue growth.

Learning becomes part of a broader performance chain.

Where direct measurement is difficult, proxy indicators can help. Manager observations, assessment results, or behavioural check-ins can provide useful signals. They are not perfect, but they are often good enough when combined with business outcomes.

This is where the mix of leading and lagging indicators becomes important. Leading indicators show whether learning is happening and being applied. Lagging indicators show whether performance is improving.

There is also a clear boundary to keep in mind.

Not everything in L&D should be managed through OKRs. Compliance, platform performance, and operational stability are better handled through KPIs. These are areas where consistency matters more than change.

OKRs are most useful where performance needs to improve, not where it simply needs to be maintained.

Which leads to the more important question.

Not whether OKRs can work, but whether they should be used more deliberately.

OKRs work in L&D when they are applied to the right problems.

Should OKRs Be Used in L&D: A Strategic Decision

Moving from “can” to “should” is where things become more strategic.

OKRs should be used in L&D when the goal is to influence measurable performance outcomes, not just deliver learning. They are most valuable when learning is closely tied to business priorities and there is a clear expectation that capability development will lead to better results.

Here’s what that changes.

OKRs create a shared language between L&D and the business. Instead of reporting on programmes, conversations shift toward outcomes. That strengthens alignment, clarifies priorities, and focuses effort on the areas that matter most.

They also improve credibility. When objectives are clearly defined and key results are tied to performance indicators, it becomes easier to demonstrate impact. That, in turn, supports better decisions about where to invest time and resources.

But this only works when OKRs are applied with discipline.

Poorly defined OKRs quickly turn into another set of empty metrics. If the data is weak, the measurement will be too. And without business ownership, OKRs risk staying inside L&D without influencing real performance.

It is also worth being clear about what OKRs are not.

They are not a replacement for evaluation frameworks. They do not fix poor data. And they are not a shortcut to proving ROI.

They are one part of a broader measurement ecosystem.

Used well, OKRs help L&D focus on what needs to change and how that change will be measured.

OKRs are effective when used deliberately, not everywhere.

Where OKRs Fit in L&D Measurement Maturity

To see where OKRs fit, it helps to step back and look at how L&D measurement tends to evolve.

Most organisations start with activity tracking. Participation, completion, and engagement provide a basic level of visibility. From there, measurement usually matures into KPI-based monitoring, where performance indicators reflect operational health.

The real shift happens after that.

OKRs introduce a layer focused on improvement. Instead of asking whether performance is stable, they ask where it needs to move. That creates a bridge between measurement and action, and between L&D and the business.

Beyond that, more advanced approaches start to come into play. Frameworks like Kirkpatrick or ROI models aim to strengthen causal understanding. Learning analytics and data integration begin to connect systems and provide deeper insight.

Within that progression, OKRs play a specific role.

They sit between activity and impact. They help organisations move from tracking what happened to improving what happens next.

This is particularly relevant in many African and South African contexts. Not every organisation has advanced analytics infrastructure, but most still need to align learning with business priorities. OKRs offer a practical way to do that without requiring complex systems.

And this sets up the next step.

If OKRs provide direction, the question becomes how to implement them in a way that is practical and repeatable.

OKRs are not the end state, but they are a meaningful step forward.

From Reporting to Responsibility: Rethinking the Role of L&D

L&D is being asked to demonstrate impact in terms the business understands.

That expectation makes sense. Organisations invest in learning to improve performance, not just to deliver programmes. Yet measurement still leans heavily toward activity, which leaves a gap between what is reported and what leaders need to see.

OKRs offer a practical way to close that gap.

They help align learning with business outcomes, focus effort, and create a clearer link between capability development and performance improvement. They do not solve every measurement challenge, but they introduce direction where it is often missing.

And that is the real shift. It is not just about measuring learning more effectively. It is about taking responsibility for the outcomes learning is meant to influence.

When that shift happens, the conversation changes. From reporting activity to demonstrating impact. From delivering programmes to improving performance.

OKRs do not just measure learning. They challenge L&D to improve how organisations perform.

Further Reading