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Prashanthi Anand Rao

Prashanthi Anand Rao

A Psychologist, Teacher and AI Professional

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You Can’t Train Everything — So We Analyzed the Data to Find the 20% That Actually Moves Results

5 min readApr 22, 2026
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Every stakeholder says the same thing: “Can we make this training… comprehensive?”

What they mean is clear.
Cover everything.
Miss nothing.
Reduce all risk.

What they don’t see?

The budget didn’t grow.
The timeline didn’t move.
And attention — the one resource that actually matters — is already stretched thin.

So you’re left with a quiet but critical decision:

Do you try to train everything…
Or do you figure out what actually changes behavior?

Because the data tells a different story.

In most organizations, a small set of behaviors drives the majority of outcomes. A handful of mistakes create most of the cost. And a few high-frequency tasks shape day-to-day performance.

Yet most training is designed the opposite way —
broad, bloated, and built for coverage instead of impact.

This blog is about what happens when you flip that.

How to use data to decide what deserves attention.
What to cut without guilt.
And how to explain those tradeoffs in a way stakeholders actually trust.

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