This is a learning outline. A complete worked tutorial has not been published for this topic yet.
01
Define the user problem
State a customer problem and falsifiable hypothesis
Evidence: t040/m01/evidence
02
Record assumptions
Choose an ethical low-cost test
Evidence: t040/m02/evidence
03
Choose a small test
Define success failure and inconclusive conditions
Evidence: t040/m03/evidence
04
Set a decision rule
Write a next-step decision from a small synthetic result
Evidence: t040/m04/evidence
03 / TRY IT
Apply the micro-course
Demonstrate the promised artifact
Define success failure and inconclusive conditions
Independently explain and change one assumption in a one-page validation experiment.
Keep your work
The test can disconfirm the idea and does not invent customer evidence.; The documented failure/uncertainty is visible, and no prohibited action or unsupported success claim occurs.; The learner predicts and verifies the change; AI output is not accepted without understanding.
Check your understanding
The test can disconfirm the idea and does not invent customer evidence.
Show one small example, the expected result and the reasoning behind it.
Record one limitation or edge case and a question to discuss with a mentor.
04 / LEARN WITH HELP
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