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| Criterion |  Systems Thinking Leverage Points |  Product Discovery Smoke Test |  Product Discovery Riskiest Assumption Test |  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. | When an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report. | 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 | Medium | Medium |
Timedifferent | Half day | 1-5 Tage | 1-2 Wochen pro Iteration | 1-5 Tage |
Participantsdifferent | 3-12 | Nutzertraffic | 2-6 | Nutzertraffic |
Formatdifferent | Workshop | Async | Workshop + async | Async |
Outputdifferent | Leverage Map, Action Strategy | Interest Metrics, Conversion Signal, Learning Note | Prioritized Assumption List, Test Plan, Results Report | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | Systems thinkingChangeStrategy | ValidationExperimentsDemandGrowth | ExperimentsValidationDiscoveryAssumptions | ValidationExperimentsDemandDiscovery |