ai product management
Frame the learner failure with evidence
Translate calculation-process observations into a testable problem statement and interview plan.
1
Read with a clear lens
- observable first-invalid-step failures
- non-leading interview questions
- decision-changing evidence
Pause and write
Which learner behavior would falsify the current problem framing?
2
Open the canonical material
After reading
Draft three questions that reveal calculation-path breakdowns without describing the proposed coach.
Knowledge check
What makes an interview signal actionable for this product?
Write an answer to unlock the reference
It identifies an observable calculation-path failure, its context and consequence, and a decision the team would change if the pattern repeats; it is not merely enthusiasm for AI tutoring.
INTERNAL_REFERENCE · Product-discovery synthesis, not a validated market finding.Study information and required outputs
Item information
- Stable ID
sprint.user-evidence- Version
- 1.0.0
- Content status
- ready
- Kind
- project
Dependencies
Orient to the calculation-path coachRequired repository outputs
docs/product/USER_STORY_INTERVIEW.mdBounded learner interview guide
Done criteria
- Problem statement names a path-level failure
- Interview questions avoid pitching
- Evidence threshold for changing scope is explicit
Finish the session