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| Criterion |  Growth A/B Testing |  Decision Making Trade-off Analysis |  Product Discovery Fake Door Test |  Decision Making Decision Matrix |
|---|---|---|---|---|
Purposedifferent | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. | 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 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 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. |
Complexitydifferent | High | Medium | Medium | Medium |
Timedifferent | 1-4 Wochen | 45-120 min | 1-5 Tage | 45-90 min |
Participantsdifferent | 1-6 | 2-8 | Nutzertraffic | 2-8 |
Formatdifferent | Async | Workshop + async | Async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Trade-off Matrix, Criteria List, Decision Rationale, Accepted Downsides | Click Data, Interest Signal, Learning Decision | Decision Matrix, Scoring Rationale, Selected Option |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | TradeoffsDecisionCriteriaOptions | ValidationExperimentsDemandDiscovery | DecisionCriteriaScoringTradeoffs |