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| Criterion |  Decision Making Force Field Analysis |  Product Discovery Smoke Test |  Product Strategy DIBB |  Product Discovery Fake Door 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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. | When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. |
Complexitydifferent | Low | Low | Low | Medium |
Timedifferent | 45-90 min | 1-5 Tage | 1-2 h | 1-5 Tage |
Participantsdifferent | 3-12 | Nutzertraffic | 2-8 | Nutzertraffic |
Formatdifferent | Workshop | Async | Workshop + async | Async |
Outputdifferent | Force Field Map, Change Levers, Risk Notes | Interest Metrics, Conversion Signal, Learning Note | DIBB document, Belief list, Bet list, Learning report | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | ChangeDecisionStrategy | ValidationExperimentsDemandGrowth | StrategyDecisionAssumptionsHypothesis | ValidationExperimentsDemandDiscovery |