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| Criterion |  Growth A/B Testing |  Decision Making Delphi Method |  Product Discovery Learning Card |  Product Discovery MVP Test 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. | 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. | The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible. | 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 | Low | Medium |
Timedifferent | 1-4 Wochen | 1-4 Wochen | 25-40 min | 45-75 min |
Participantsdifferent | 1-6 | 6-30 Experten | 1-5 | 2-8 |
Formatdifferent | Async | Async | Workshop + async | Workshop |
Outputdifferent | Experiment results, Decision log, Learning summary | Expert Forecast, Consensus Range, Assumption Notes | Learning Card with evidence and next action | Test Matrix, Test Plan |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | ForecastingExpertsDecisionStrategy | ExperimentsValidationDiscoveryLearning | ExperimentsValidationDiscoveryOptions |