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| Criterion |  Decision Making Decision Matrix |  Product Discovery Experiment Canvas |  Product Strategy ICE Scoring |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | When several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic. | 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. | When ideas need sorting quickly, it condenses impact, confidence, and effort into one compact score. It connects customer value, product logic, and decision priorities. The result is captured as an ICE table and top-ideas list. | 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. |
Complexitydifferent | Medium | Low | Low | Medium |
Timedifferent | 45-90 min | 30-60 min | 30-60 min | 1-5 Tage |
Participantsdifferent | 2-8 | 1-5 | 2-8 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Decision Matrix, Scoring Rationale, Selected Option | Completed Experiment Canvas, Success Metric | ICE Table, Top Idea List | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | DecisionCriteriaScoringTradeoffs | ExperimentsValidationDiscoveryHypothesis | PrioritizationScoringGrowthDecision | ValidationExperimentsDemandDiscovery |