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| Criterion |  Decision Making Force Field Analysis |  Product Strategy DIBB |  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. | 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 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 | High |
Timedifferent | 45-90 min | 1-2 h | 1-4 Wochen |
Participantsdifferent | 3-12 | 2-8 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Async |
Outputdifferent | Force Field Map, Change Levers, Risk Notes | DIBB document, Belief list, Bet list, Learning report | Experiment results, Decision log, Learning summary |
Tagsno overlap | ChangeDecisionStrategy | StrategyDecisionAssumptionsHypothesis | ExperimentsGrowthAnalyticsValidation |
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