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| Criterion |  Systems Thinking Leverage Points |  Product Discovery Smoke Test |  Decision Making Force Field Analysis |  Product Discovery Fake Door 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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | 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 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 | High | Low | Low | Medium |
Timedifferent | Half day | 1-5 Tage | 45-90 min | 1-5 Tage |
Participantsdifferent | 3-12 | Nutzertraffic | 3-12 | Nutzertraffic |
Formatdifferent | Workshop | Async | Workshop | Async |
Outputdifferent | Leverage Map, Action Strategy | Interest Metrics, Conversion Signal, Learning Note | Force Field Map, Change Levers, Risk Notes | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | Systems thinkingChangeStrategy | ValidationExperimentsDemandGrowth | ChangeDecisionStrategy | ValidationExperimentsDemandDiscovery |