This is a learning outline. A complete worked tutorial has not been published for this topic yet.
01
User and goal
Write a user story with a specific actor
Evidence: t041/m01/evidence
02
Scope and non-goals
Add observable acceptance criteria
Evidence: t041/m02/evidence
03
Acceptance examples
Include an error state and an access restriction
Evidence: t041/m03/evidence
04
Edge cases
Split an oversized story into testable smaller tasks
Evidence: t041/m04/evidence
03 / TRY IT
Apply the micro-course
Demonstrate the promised artifact
Include an error state and an access restriction
Independently explain and change one assumption in a feature story with acceptance tests.
Keep your work
The feature has observable pass/fail criteria and explicitly bounded scope.; 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 feature has observable pass/fail criteria and explicitly bounded scope.
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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