What a time to be in learning and development. Demand is up, tools are everywhere and AI lets us build faster than ever.
We can prove volume with dashboards, with courses built, hours delivered, completions and clicks. But performance does not change simply because we produced more content.
Over decades, we have evolved with adult learning, neuroscience and behavioural insight, yet one pattern persists. We talk about performance, then default to content.
So here is the uncomfortable question. ‘Are we building what is quick to develop and easy to measure, or what actually shifts behaviour?’
The starting point for the challenge here is that organisations ask L&D to solve performance problems before they have clarified what must change in the business. When that clarity is missing, L&D is left to interpret the gap, and content becomes the most tangible response.
A performance value proposition
This is the big opportunity for us to not only partner, but be requested to join the conversation with the C-suite, because if we consider performance, we have a whole new value proposition to offer.
When we start with the work itself, the question shifts from: ‘What should we teach?’ to: ‘What must change in how we operate?’.
To understand this, we need to follow the money. We must look at what is happening with clients, what services they will seek and how we will provide this as AI shifts and repositions what our clients are looking for.
Then we consider the systems and conditions our people are working within. We get into the details and leverage AI to support deeper analysis.
These clues can be used to tell the story of where there is knowledge and skill to be developed and where other elements of the environment need to shift to support the performance goals.
We could stop here and provide the content aligned to the knowledge and skill. But in reality, understanding is the starting point, not the outcome.
Performance is shaped in the moment when a decision needs to be made under pressure, with limited time and competing demands. So, what else can we consider and how do we help the organisation shape the conditions?
Organisations ask L&D to solve performance problems before they have clarified what must change in the business
The cognitive reality we keep designing around
Take the cognitive reality leaders work in. Many knowledge workers spend most of their day in meetings, moving from topic to topic with a single click.
Instant messages and ‘quick questions’ break focus, and it can take a long time to get back into deep work.
Frequent task switching increases stress and makes sustained focus, reflection and ultimately behaviour change, hard.
In this state, the brain does what it is designed to do. It conserves energy and defaults to habit.
It prioritises speed and familiarity over thoughtful application. The part of the brain responsible for deliberate decision making is often compromised under pressure. What remains is automatic behaviour.
What gets rewarded, gets repeated
Another force that is often overlooked is that behaviour follows reward. In most organisations, the rewards are clear, even if they are not formally stated.
Speed is rewarded. Responsiveness is rewarded. Solving problems quickly is rewarded. Taking ownership is rewarded.
These are not negative behaviours. They are often essential, but they come with a trade-off.
Reflection, coaching and stepping back are slower and less visible. If the system signals that immediate output equals success, people will default to what produces it, even when training promotes something different.
With this, we arrive at the performance illusion where we invest in learning that promotes new behaviours while the environment keeps rewarding the old ones.
We treat it as a design problem when it is often a conditions problem.
We invest in learning that promotes new behaviours while the environment keeps rewarding the old ones
Design the conditions, not just the learning
If performance is the goal, our job is not only to design learning. It is to help design the conditions that make new behaviour possible and sustainable.
That requires a shift from content to systems:
1. Work to understand the business: What is the problem they are trying to solve, what do they need from their people and what conditions will support the shift?
2. Create experiences designed for cognitive reality: Ask not only what people need to know, but what they are likely to do under pressure.
Then support these moments by providing practice and feedback opportunities along with short prompts, templates, and cues that show up in context.
3. Address reward: Make desired behaviours (coaching, reflection, collaboration) visible and recognised by reshaping existing moments, such as check-ins, feedback and project reviews, rather than adding more programmes.
Encourage time saved from using AI to go back into developing people, then watch for it and reward it.
4. Build reinforcement: Use manager questions, coach-like leadership, peer practice on real scenarios and lightweight follow-ups so behaviours are rehearsed and supported after the session ends and through the transfer of learning.
5. Use AI as a performance layer, not just a content tool: Used well, it can surface prompts in the flow of work, elevate judgment, support practice and reflection and help bridge the gap between knowing and doing.
The promise, if we change the ask
For years, L&D has tried to move closer to performance. The barrier is rarely a lack of learning expertise; it is limited alignment with business shifts and limited influence over the conditions people work within.
If we design for ideal learners in controlled settings, impact will stay limited. When we partner with the business to clarify the outcome, leverage AI to better understand the gaps, design for the reality of work and align the systems that drive behaviour, L&D can offer more than learning.
We can surface what is holding the business back and help shift performance in ways that improve results.
