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| Criterion |  Decision Making Force Field Analysis |  Product Discovery Smoke Test |  Decision Making Assumption Surfacing |  Growth A/B Testing |
|---|---|---|---|---|
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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. | 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. |
Complexitydifferent | Low | Low | Low | High |
Timedifferent | 45-90 min | 1-5 Tage | 45-90 min | 1-4 Wochen |
Participantsdifferent | 3-12 | Nutzertraffic | 2-8 | 1-6 |
Formatdifferent | Workshop | Async | Workshop + async | Async |
Outputdifferent | Force Field Map, Change Levers, Risk Notes | Interest Metrics, Conversion Signal, Learning Note | Assumption List, Critical Assumptions, Learning Plan | Experiment results, Decision log, Learning summary |
Tagsno overlap | ChangeDecisionStrategy | ValidationExperimentsDemandGrowth | AssumptionsRiskDecisionDiscovery | ExperimentsGrowthAnalyticsValidation |