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| Criterion |  Decision Making Force Field Analysis |  Decision Making Delphi Method |  Growth A/B Testing |  Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | 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 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. | When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. |
Complexitydifferent | Low | High | High | Low |
Timedifferent | 45-90 min | 1-4 Wochen | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 3-12 | 6-30 Experten | 1-6 | Nutzertraffic |
Formatdifferent | Workshop | Async | Async | Async |
Outputdifferent | Force Field Map, Change Levers, Risk Notes | Expert Forecast, Consensus Range, Assumption Notes | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | ChangeDecisionStrategy | ForecastingExpertsDecisionStrategy | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth |