ai product managementnowproject
Frame the learner failure with evidence
Translate calculation-process observations into a testable problem statement and interview plan.
- Stable ID
sprint.user-evidence- Item version
- 1.0.0
- Time
- 105 min
- Status
- ready
Reading lens
Focus
- observable first-invalid-step failures
- non-leading interview questions
- decision-changing evidence
Ignore for now
- broad persona taxonomies
- solution pitching during interviews
- unmeasured market-size claims
Canonical sources
Open the material
Before reading
Which learner behavior would falsify the current problem framing?
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.Working notes