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| Criterion |  Decision Making Decision Tree |  Delivery MoSCoW |  Product Discovery MVP Test Matrix |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | 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. | When a release carries too many demands and priorities are only ever negotiated, MoSCoW creates clear boundaries for the next cut. Must, Should, Could, and Won't make commitment, room for maneuver, and trade-off logic visible to everyone involved. | When several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan. | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | Medium | Low | Medium | Low |
Timedifferent | 30-90 min | 30-90 min | 45-75 min | 30-60 min |
Participantsdifferent | 1-6 | 3-12 | 2-8 | 1-5 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Prioritized Backlog, Release Scope, Tradeoff Notes | Test Matrix, Test Plan | Completed Experiment Canvas, Success Metric |
Tagsno overlap | DecisionTreeOptions | PrioritizationScopeDecision | ExperimentsValidationDiscoveryOptions | ExperimentsValidationDiscoveryHypothesis |