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| Criterion |  Product Discovery User Story Mapping |  Decision Making Decision Tree |  Operations Causal Factor 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 decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events. |
Complexitydifferent | Medium | Medium | High |
Timedifferent | 2-4 h | 30-90 min | 2-6 h |
Participantsdifferent | 4-10 | 1-6 | 3-10 |
Formatdifferent | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Story Map, Release Slices, Backlog Candidates | Decision Tree, Option Map, Assumption List | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | BacklogJourneyPlanningMVP | DecisionTreeOptions | CausalityIncidentRoot causeTimeline |
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