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| Criterion |  Growth A/B Testing |  Product Discovery Assumption Mapping |  Decision Making Force Field Analysis |
|---|---|---|---|
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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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. |
Complexitydifferent | High | Medium | Low |
Timedifferent | 1-4 Wochen | 45-60 min | 45-90 min |
Participantsdifferent | 1-6 | 2-8 | 3-12 |
Formatdifferent | Async | Workshop + async | Workshop |
Outputdifferent | Experiment results, Decision log, Learning summary | Assumption map, Test backlog, Risk ranking | Force Field Map, Change Levers, Risk Notes |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | AssumptionsRiskExperimentsValidation | ChangeDecisionStrategy |
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