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| Criterion |  Product Discovery User Story Mapping |  Agile Affinity Estimation |  Decision Making Pre-Mortem |  Decision Making Constraint Analysis |
|---|---|---|---|---|
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. | 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. | In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures. | When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. |
Complexitydifferent | Medium | Medium | Low | Low |
Timedifferent | 2-4 h | 30-90 min | 20–45 min | 30-90 min |
Participantsdifferent | 4-10 | 3-12 | Small cross-functional group | 2-8 |
Formatdifferent | Workshop | Workshop | Workshop | Workshop + async |
Outputdifferent | Story Map, Release Slices, Backlog Candidates | Affinity Size Map, Grouped Estimates, Unclear Items | Risk list, Mitigation plan, Assumption log | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | BacklogJourneyPlanningMVP | EstimationBacklogRelative sizing | RiskDecisionFailurePlanning | ConstraintsDecisionPlanningOptions |