We’ve all seen it happen.
Someone completes a training course, scores highly on the assessment, leaves feeling confident… and then, when they’re faced with a real customer, a difficult conversation, a compliance issue, or a high-pressure decision, everything seems to unravel.
So why does this happen?
That question was at the heart of my recent conversation with Simon Strong, Co-Founder of Download Learning, on Voices of The Learning Network. It turned into one of the most thought-provoking discussions I’ve had this year about learning design, workplace performance, and the gap between knowing something and actually being able to do it when it matters most.
We Don’t Rise to the Occasion — We Default to Our Preparation
One of Simon’s central arguments is both simple and profound: much workplace learning is designed for calm environments but expected to perform in stressful ones.
He describes this as the difference between “cold training” and “hot training.”
Cold training happens in comfortable environments where learners have plenty of time to think, little emotional pressure, and no real consequences for getting something wrong.
Real work, however, rarely feels like that.
Instead, employees are juggling deadlines, distractions, competing priorities, emotional conversations, customer expectations and incomplete information. Under those conditions, our brains behave very differently.
Stress changes how we remember, process information and make decisions.
If our learning experiences don’t prepare people for that reality, perhaps we shouldn’t be surprised when knowledge doesn’t transfer into performance.
More Content Isn’t Always Better
Another idea that really resonated with me was Simon’s discussion around cognitive load.
Many organisations continue to equate better learning with more information.
Longer courses.
More slides.
More policies.
More procedures.
But neuroscience tells a different story.
Our working memory has limits. Overloading learners with information doesn’t make them more capable—it often makes them less capable when they need to retrieve that information quickly.
Instead of asking:
“What else should we include?”
Perhaps learning teams should ask:
“What is absolutely essential for someone to make the right decision under pressure?”
That’s a very different design philosophy.
Knowledge Is Not Competence
This is something I’ve heard echoed by many guests across Voices of The Learning Network.
Passing a quiz doesn’t necessarily mean someone can perform effectively in the workplace.
Too often, organisations celebrate course completion or assessment scores as evidence of capability.
But remembering information in a classroom isn’t the same as applying judgement in complex, unpredictable situations.
Simon makes a compelling case that assessments should focus less on recall and more on decisions, actions and real-world application.
After all, organisations don’t hire people to pass tests.
They hire people to solve problems.
Learning Needs Time to Grow
Another highlight of our conversation centred on time-sequenced learning.
Rather than trying to teach everything in a single event, Simon explains why spreading learning over time dramatically improves retention and application.
The evidence supporting spaced learning continues to grow across education, neuroscience and workplace learning.
It isn’t simply about remembering more.
It’s about strengthening the neural pathways that make knowledge easier to retrieve when it actually matters.
This is particularly relevant as organisations continue moving away from traditional classroom programmes toward continuous learning cultures.
From Courses to Learning Ecosystems
Perhaps my biggest takeaway was Simon’s emphasis on designing learning ecosystems rather than isolated training events.
His CAR Model—Cognition, Application, Review & Reflect—encourages learning professionals to think beyond content delivery.
Instead of asking:
“Did people complete the training?”
The better questions become:
- Did they understand it?
- Did they apply it?
- Did they reflect on the outcome?
- Did the learning change future behaviour?
That’s a much more meaningful definition of learning success.
The Opportunity for L&D
For learning leaders, instructional designers and HR professionals, this conversation serves as a timely reminder that workplace capability isn’t built through information alone.
It’s built through thoughtful design.
Design that recognises how people actually think.
How they perform under pressure.
How habits develop.
And how behaviour changes over time.
As AI continues making information instantly accessible, the competitive advantage won’t come from helping people memorise facts.
It will come from helping people make better decisions when the stakes are high. That’s a challenge worth embracing.
Listen to my full conversation with Simon Strong on Voices of The Learning Network to explore evidence-based approaches to designing learning that performs when it counts. Whether you’re creating onboarding, compliance training, leadership development or technical learning, there are practical insights here that can improve both learner experience and organisational performance.