Why learning doesn’t stick—and the four design shifts that change it

We spend a lot of time trying to make training more engaging.

New formats. Shorter videos. Gamification. Better visuals.

Those things can help.

But they skip a more useful question:

Why do people disengage in the first place?

When we ask L&D professionals to choose the biggest reason employees ignore training, the answers usually land in four places:

• It’s too long.
• It’s not relevant.
• There isn’t enough practice.
• There’s no manager support.

Each one points to a different design problem. And none of them is solved by adding more content.

1. “Too Long” Usually Means “Not Focused”

People rarely complain about a long learning experience that is clearly helping them do their job.

They complain when they can’t tell why they’re there.

Length is often a symptom. The real issue is that the experience was built around everything that could be included rather than what the learner needs to do.

That’s why one of the most valuable things L&D can stop doing is starting with the deliverable.

Before deciding we need a course, video, workshop, or job aid, it’s worth understanding:

• What performance needs to change?
• Who is doing the work?
• What is getting in their way today?

When those answers are clear, the content gets smaller. And the learning gets sharper.

2. Relevance Is Earned, Not Announced

Telling learners “this is important” doesn’t make it feel relevant.

Relevance shows up when people recognize their own work in the experience.

Their real situations. Their real decisions. Their real pressure.

Generic scenarios produce generic attention. Scenarios built from what actually happens on the job—what goes wrong, where people hesitate, what experienced employees do differently—produce recognition.

And recognition is what keeps people in the room.

3. Information Introduces a Skill. Practice Builds It.

Think about the skills organizations ask people to develop:

• Giving difficult feedback
• Managing conflict
• Leading meetings
• Using AI responsibly
• Making decisions with incomplete information
• Talking with customers
• Leading through change

Would you want someone doing any of those for the first time when the stakes are real?

Yet many learning experiences explain the skill, check for understanding, and stop.

A stronger sequence looks like this:

Teach it → Show it → Practice it → Coach it → Support it → Reinforce it

A useful design question is:

“Where does the learner get to try this before the stakes are real?”

If the answer is nowhere, that may be the gap.

4. What Happens After Training Matters Just as Much

Of the four reasons, the one we keep coming back to is manager support.

If the work environment reinforces something different from the training, the training is fighting an uphill battle.

A learner can leave a session motivated and capable—and still return to a team where:

• Nobody asks what they learned.
• There’s no time to apply it.
• The old way is faster and still rewarded.
• Their manager hasn’t been through it.

Under those conditions, “ignoring training” is a rational response.

Managers don’t need to become trainers. But they do need a role: a short conversation before the learning, a question afterward, an opportunity to apply the skill, and feedback when someone tries.

Give People Something Real to Talk About

There’s one more shift worth making.

We spend a lot of time thinking about what employees need to know.

It’s worth spending more time thinking about what they need to talk about.

A difficult leadership situation. A decision without an obvious answer. A customer interaction. A mistake. A change people aren’t comfortable with.

Those are opportunities for conversation—not another slide.

Sometimes the most powerful learning activity is simply:

“What would you do?”

And then listening to what happens next.

People remember conversations far longer than bullet points.

The Same Is True for AI Skills

This matters even more as organizations roll out AI capability programs.

Knowing how to prompt AI isn’t the same as knowing how to use AI well.

Real AI capability includes recognizing a bad answer, verifying information, knowing what shouldn’t be entered, and knowing when human judgment is required. SHRM’s 2026 L&D benchmarking found that critical thinking and judgment/decision-making have risen among the skills organizations expect to prioritize.

Judgment isn’t built by watching a demo. It’s built through practice, discussion, and feedback—the same ingredients that make any learning stick.

A Quick Diagnostic for Your Next Program

Before launching your next learning initiative, ask:

• Can we name the specific behavior that should change?
• Will learners recognize their own work in the scenarios?
• Where will they practice before it counts?
• What will managers do before and after?
• What conversations does this experience create?

If several of those answers are unclear, the problem probably isn’t engagement.

It’s design.

How Tilak Learning Group Can Help

At Tilak Learning Group, we help organizations design learning people actually use—starting with the performance that needs to change, not the deliverable.

That includes custom eLearning and instructor-led programs built around realistic practice, manager guides that extend learning into the workplace, accessible design from the first decision, and performance support people can use in the moment of work.

If your team is investing in training that isn’t sticking, let’s talk about what’s getting in the way.

Michelle’s Take: When people tune out training, they’re giving us data. The best response isn’t to make it louder. It’s to make it matter.

Tilak Learning Group
Strategy • Design • Development • Accessibility • Performance