This is a learning outline. A complete worked tutorial has not been published for this topic yet.
01
Break down the work
Split a feature into testable work packages
Evidence: t048/m01/evidence
02
Identify uncertainty
Identify dependencies and uncertainty ranges
Evidence: t048/m02/evidence
03
Use ranges and assumptions
Separate best-case assumptions from committed scope
Evidence: t048/m03/evidence
04
Review actuals
Publish an estimate with an explicit review trigger
Evidence: t048/m04/evidence
03 / TRY IT
Apply the micro-course
Demonstrate the promised artifact
Identify dependencies and uncertainty ranges
Independently explain and change one assumption in an estimate with dependencies and risks.
Keep your work
Distinguish effort from elapsed time and explain the main uncertainty.; 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
Distinguish effort from elapsed time and explain the main uncertainty.
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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