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| Criterion |  Growth A/B Testing |  Decision Making Force Field Analysis |  Systems Thinking Leverage Points |  Product Discovery Assumption Mapping |
|---|---|---|---|---|
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. | 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. | Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitydifferent | High | Low | High | Medium |
Timedifferent | 1-4 Wochen | 45-90 min | Half day | 45-60 min |
Participantsdifferent | 1-6 | 3-12 | 3-12 | 2-8 |
Formatdifferent | Async | Workshop | Workshop | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Force Field Map, Change Levers, Risk Notes | Leverage Map, Action Strategy | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | ChangeDecisionStrategy | Systems thinkingChangeStrategy | AssumptionsRiskExperimentsValidation |