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| Criterion |  Growth A/B Testing |  Decision Making Delphi Method |  Decision Making Force Field Analysis |  Product Discovery Assumption Mapping |
|---|---|---|---|---|
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. | In change initiatives, supporting and restraining forces sit at the table at the same time. Force Field Analysis makes these tensions explicit and shows where change can be pushed forward by strengthening or relieving. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitydifferent | High | High | Low | Medium |
Timedifferent | 1-4 Wochen | 1-4 Wochen | 45-90 min | 45-60 min |
Participantsdifferent | 1-6 | 6-30 Experten | 3-12 | 2-8 |
Formatdifferent | Async | Async | Workshop | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Expert Forecast, Consensus Range, Assumption Notes | Force Field Map, Change Levers, Risk Notes | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | ForecastingExpertsDecisionStrategy | ChangeDecisionStrategy | AssumptionsRiskExperimentsValidation |