What does it mean that design experiments for your schemas?

Create specific tests that would show you if your mental model is accurate.

Example: You believe that morning meetings drain your team's productivity. That's a schema. To test it, you move all meetings to afternoons for two weeks and track ticket throughput, Slack message volume, and self-reported energy levels. If throughput doesn't change, your schema was wrong — and you've gained real data instead of operating on an untested assumption.

Try this: Pick one belief you hold about how something works — your learning process, your team's behavior, your market, your habits. Write it as a falsifiable prediction: 'If [schema] is true, then [observable outcome] should happen when [specific condition].' Design the smallest experiment you could run this week to test it. Write down what result would confirm the schema and what result would disprove it — before you run the test.