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| Criterion | ![]() Product Discovery User Story Mapping | ![]() Engineering Failure Scenario Analysis | ![]() Agile Affinity Estimation |
|---|---|---|---|
Purposedifferent | When user goals and delivery scope could drift apart, it orders the journey from goal to slice. It makes visible where an MVP can genuinely be cut. | In critical processes, it is not enough to plan only for the normal case. Failure Scenario Analysis looks at the path into failure and shows which failures, chains, and control gaps cause the most damage. | When many tasks need to be classified quickly, it sorts them by perceived effort and similarity. It reduces the effort of fine-grained estimation for large volumes. |
Complexitysame | Medium | Medium | Medium |
Timedifferent | 2-4 h | 1-3 h | 30-90 min |
Participantsdifferent | 4-10 | 3-8 | 3-12 |
Formatsame | Workshop | Workshop | Workshop |
Outputdifferent | Story Map, Release Slices, Backlog Candidates | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Affinity Size Map, Grouped Estimates, Unclear Items |
Tagsno overlap | BacklogJourneyPlanningMVP | FailureResilienceRisk | EstimationBacklogRelative sizing |
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