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| Criterion |  Systems Thinking Leverage Points |  Growth A/B Testing |  Decision Making Force Field Analysis |  Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | 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 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. | 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. |
Complexitydifferent | High | High | Low | Low |
Timedifferent | Half day | 1-4 Wochen | 45-90 min | 1-5 Tage |
Participantsdifferent | 3-12 | 1-6 | 3-12 | Nutzertraffic |
Formatdifferent | Workshop | Async | Workshop | Async |
Outputdifferent | Leverage Map, Action Strategy | Experiment results, Decision log, Learning summary | Force Field Map, Change Levers, Risk Notes | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | Systems thinkingChangeStrategy | ExperimentsGrowthAnalyticsValidation | ChangeDecisionStrategy | ValidationExperimentsDemandGrowth |