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| Criterion |  Product Discovery User Story Mapping |  Operations ALPEN Method |  Decision Making Constraint Analysis |  Operations Kepner-Tregoe |
|---|---|---|---|---|
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. | 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. | 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. |
Complexitydifferent | Medium | Low | Low | High |
Timedifferent | 2-4 h | 10-20 min daily | 30-90 min | 2-8 h |
Participantsdifferent | 4-10 | 1 | 2-8 | 2-8 |
Formatdifferent | Workshop | Async | Workshop + async | Workshop + async |
Outputdifferent | Story Map, Release Slices, Backlog Candidates | Daily Plan, Time Estimates, Review Notes | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Problem Analysis, Decision Analysis, Risk Plan |
Tagsno overlap | BacklogJourneyPlanningMVP | PlanningTime managementProductivityOperations | ConstraintsDecisionPlanningOptions | Problem solvingRoot causeDecisionOperations |