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| Criterion |  Delivery MoSCoW |  Product Discovery Hypothesis Prioritization Canvas |  Product Discovery Fake Door Test |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | 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 many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. | 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 | Low | Medium | Medium | Low |
Timedifferent | 30-90 min | 60-90 min | 1-5 Tage | 30-60 min |
Participantsdifferent | 3-12 | 3-8 | Nutzertraffic | 1-5 |
Formatdifferent | Workshop + async | Workshop | Async | Workshop + async |
Outputdifferent | Prioritized Backlog, Release Scope, Tradeoff Notes | Prioritization Canvas, Hypothesis Backlog | Click Data, Interest Signal, Learning Decision | Completed Experiment Canvas, Success Metric |
Tagsno overlap | PrioritizationScopeDecision | ExperimentsPrioritizationDiscoveryHypothesis | ValidationExperimentsDemandDiscovery | ExperimentsValidationDiscoveryHypothesis |