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| Criterion |  Systems Thinking Future Reality Tree |  Systems Thinking Leverage Points |  Product Discovery Smoke Test |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation. | 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. | 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 | High | Low | Medium |
Timedifferent | 2-4 h | Half day | 1-5 Tage | 1-5 Tage |
Participantsdifferent | 3-8 | 3-12 | Nutzertraffic | Nutzertraffic |
Formatdifferent | Workshop | Workshop | Async | Async |
Outputdifferent | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Leverage Map, Action Strategy | Interest Metrics, Conversion Signal, Learning Note | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | Theory of ConstraintsSystems thinkingChange | Systems thinkingChangeStrategy | ValidationExperimentsDemandGrowth | ValidationExperimentsDemandDiscovery |