
Redefining Good in L&D Starts with Better Questions
Redefining good in L&D begins with asking whether our current measures reflect real progress. Many learning teams are under pressure to prove their value, but the tools they are given focus on the wrong things. Course completions, hours of delivery, or the number of modules created might be easy to track, but they rarely prove that anything meaningful has changed.
This is the moment to step back and reframe what good looks like in learning and development.
When More Isn’t Better
Too often, what counts is what is easiest to count. Dashboards give the impression of progress. Slides, modules, and attendance data suggest a high-performing team. But quantity is not the same as quality, and more content does not mean more change.
This output-driven mindset allows surface-level fixes to become the default. A new policy triggers a module. A dip in performance becomes a workshop. A system launch results in a mandatory eLearning. The activity looks impressive, but very little gets better.
This disconnect between effort and value undermines trust in learning and erodes the confidence of the teams who deliver it.
What Redefining Good in L&D Actually Means
Redefining good in L&D means shifting from tasks to outcomes. Instead of focusing on what was delivered, we start with what needed to change. That includes how people work, what support they require, and what improvement is possible. Good learning enables change. It builds confidence, supports performance, and helps people make better decisions. It feels relevant to their role, not separate from it.
As the Iris Diagnostic encourages, learning should be evaluated by what it enables rather than by how much it contains or how often it is used.
Measuring What Matters
This shift is not about rejecting data. It is about choosing data that reflects purpose. Learning should make work easier, reduce confusion, improve consistency, and shift behaviours that matter. These are harder things to track, but they provide a much clearer picture of impact.
If your team is ready to move from insight to structured action, take a look at Squads and Plays, our method for focused, agile improvement.
The Risk of Sticking with Old Definitions
When organisations cling to outdated success metrics, they waste energy and miss opportunities. They also frustrate the very people who could be delivering change. Learning becomes isolated from performance, and improvement is judged by quantity rather than quality.
As Donald Clark argues, even widely used models can distort the conversation. If something is seen as good simply because it was completed, we have missed the point entirely.
Start Redefining Good Today
If you want to make a shift, begin with one honest conversation. Choose a learning programme that looked good on paper but had little effect in practice. Talk about what success was meant to look like and why it fell short. Then ask what you would do differently now.
Redefining good in L&D is not about chasing perfection. It is about staying honest, purposeful, and connected to real improvement.
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