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| Criterion |  Decision Making Delphi Method |  Growth A/B Testing |  Decision Making Trade-off Analysis |  Product Discovery MVP Test Matrix |
|---|---|---|---|---|
Purposedifferent | When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. | 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 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. |
Complexitydifferent | High | High | Medium | Medium |
Timedifferent | 1-4 Wochen | 1-4 Wochen | 45-120 min | 45-75 min |
Participantsdifferent | 6-30 Experten | 1-6 | 2-8 | 2-8 |
Formatdifferent | Async | Async | Workshop + async | Workshop |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | Experiment results, Decision log, Learning summary | Trade-off Matrix, Criteria List, Decision Rationale, Accepted Downsides | Test Matrix, Test Plan |
Tagsno overlap | ForecastingExpertsDecisionStrategy | ExperimentsGrowthAnalyticsValidation | TradeoffsDecisionCriteriaOptions | ExperimentsValidationDiscoveryOptions |