Why the most valuable learning leaders solve the right problem before designing the right solution.
Imagine visiting your family doctor.
You explain that you’ve been feeling tired lately.
Before asking another question, the doctor opens a drawer.
“What medication would you like?”
You’d probably find another doctor.
Not because the medication is necessarily wrong.
Because the diagnosis never happened.
Every profession understands this principle.
Engineers investigate before redesigning.
Auditors gather evidence before reaching conclusions.
Lawyers investigate before offering legal advice.
Mechanics run diagnostics before replacing parts.
Professionals diagnose before they prescribe.
Yet Learning and Development often works differently.
A business leader says,
“We need training.”
And the conversation immediately becomes:
What should the course cover?
Who is the audience?
Should it be virtual or in person?
How long should it take?
Those are reasonable questions.
They’re simply being asked too early.
The most important question hasn’t been asked yet.
Does this actually need training?
This is one of the most expensive assumptions organizations make.
Not because training is ineffective.
Because training is often asked to solve problems it was never designed to solve.
I’ve come to believe one of the biggest opportunities for modern learning leaders is replacing a common assumption.
A training request is not evidence of a training problem.
It is evidence that someone believes training might help.
Those are not the same thing.
Sometimes they are right.
Often they are only partly right.
Occasionally they are completely wrong.
Consider three organizations.
The first experiences declining customer satisfaction.
Leadership requests customer service training.
After a closer look, employees already know the expected behaviours.
The real issue is that outdated systems force customers to wait twice as long as they should.
No amount of communication training changes that.
The second organization wants managers to coach their teams more effectively.
Leadership requests coaching skills training.
The managers already understand coaching.
What they don’t have is time.
Their performance measures reward operational output so heavily that coaching becomes something they postpone until tomorrow.
Training isn’t the constraint.
The system is.
The third organization notices inconsistent use of artificial intelligence.
The immediate request is AI training.
But interviews reveal something different.
Employees know how to use the tools.
They don’t know whether leadership actually wants them to.
Some managers encourage experimentation.
Others discourage it.
The issue isn’t AI literacy.
It’s organizational clarity.
Three training requests.
Three different problems.
This is why diagnosis matters.
Training is one possible intervention.
It should never become the default intervention.
Artificial intelligence makes this distinction even more important.
AI can now generate excellent learning objectives.
Build assessments.
Create simulations.
Draft facilitator guides.
Produce eLearning.
Summarize research.
Generate job aids.
These capabilities are impressive.
But AI has also made one uncomfortable reality impossible to ignore.
Building the solution is becoming easier.
Choosing the right solution is becoming harder.
When creating learning takes hours instead of weeks, organizations face a different risk.
They may begin solving the wrong problem faster than ever before.
AI hasn’t reduced the importance of professional judgment.
It has increased it.
The value of today’s learning leader is shifting.
Less value comes from producing learning assets.
More value comes from determining whether learning is the right answer in the first place.
That is not a technology decision.
It is a capability decision.
This is where Learning and Development has an opportunity to redefine its professional identity.
For years, many learning teams have been viewed as course builders.
Content creators.
Program managers.
Order takers.
I think that expectation is changing.
The organizations creating the greatest business value are asking learning leaders to do something different.
Diagnose organizational problems.
Identify capability gaps.
Challenge assumptions.
Recommend the most appropriate intervention.
Sometimes that intervention is training.
Sometimes it is coaching.
Sometimes it is workflow support.
Sometimes it is leadership alignment.
Sometimes it is process redesign.
Sometimes it is changing incentives.
The intervention should follow the diagnosis.
Not the request.
That is how trusted professions operate.
Medicine doesn’t measure success by prescriptions written.
It measures success by patient outcomes.
Engineering doesn’t measure success by drawings produced.
It measures success by structures that perform safely.
Learning should be no different.
Our value should not be measured by courses delivered.
It should be measured by workforce capability strengthened and organizational performance improved.
The future of Learning and Development does not belong to the teams that build learning the fastest.
It belongs to the professionals who make the best capability decisions.
And every good capability decision begins the same way.
With a diagnosis.
Not a prescription.
Reflection
The next time someone says,
“We need training,”
pause before asking what the course should look like.
Instead ask:
What problem are we trying to solve?
What evidence tells us this is a capability issue?
If training disappeared as an option tomorrow, what would we do instead?
Only after those questions have been answered should the conversation turn to learning.
Because professions earn trust by diagnosing before they prescribe.
Learning leaders should be no different.
Dr. Ravinder Tulsiani is a Workforce Capability and AI Readiness Advisor. Through L&D Simplified, he helps learning leaders think more clearly, diagnose more accurately, and make better capability decisions in an AI-enabled world.
