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| Criterion |  Product Discovery User Story Mapping |  Operations Kepner-Tregoe |  Operations ALPEN Method |  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. | For a disturbance that's hard to pin down, the method cleanly separates problem, cause, and decision. It reduces mixing when symptoms allow several interpretations. | With an overloaded day full of too many tasks, a realistic picture of the day emerges. The method connects estimating, deciding, and buffer thinking so planning fits available energy and time. | 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 | High | Low | Low |
Timedifferent | 2-4 h | 2-8 h | 10-20 min daily | 30-90 min |
Participantsdifferent | 4-10 | 2-8 | 1 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Async | Workshop + async |
Outputdifferent | Story Map, Release Slices, Backlog Candidates | Problem Analysis, Decision Analysis, Risk Plan | Daily Plan, Time Estimates, Review Notes | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | BacklogJourneyPlanningMVP | Problem solvingRoot causeDecisionOperations | PlanningTime managementProductivityOperations | ConstraintsDecisionPlanningOptions |