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| Criterion |  Decision Making Trade-off Analysis |  Product Strategy RICE Scoring |  Product Discovery Fake Door Test |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | With limited resources, quality, speed, cost, and risk almost always compete with each other. Trade-off Analysis makes these tensions explicit and prevents decisions from producing hidden side effects. | When many initiatives compete for the same resources, it brings reach, impact, confidence, and effort into one shared ranking. It makes prioritization economically connectable. | 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 | Medium | Medium | Medium | Low |
Timedifferent | 45-120 min | 60-90 min | 1-5 Tage | 30-60 min |
Participantsdifferent | 2-8 | 2-10 | Nutzertraffic | 1-5 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Trade-off Matrix, Criteria List, Decision Rationale, Accepted Downsides | RICE Scores, Ranked List, Assumption Log | Click Data, Interest Signal, Learning Decision | Completed Experiment Canvas, Success Metric |
Tagsno overlap | TradeoffsDecisionCriteriaOptions | PrioritizationScoringRoadmapTradeoffs | ValidationExperimentsDemandDiscovery | ExperimentsValidationDiscoveryHypothesis |