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| Criterion |  Systems Thinking Leverage Points |  Product Discovery MVP Test Matrix |  Product Discovery Experiment Canvas |  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 several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan. | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. | 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 | Medium | Low | Medium |
Timedifferent | Half day | 45-75 min | 30-60 min | 1-5 Tage |
Participantsdifferent | 3-12 | 2-8 | 1-5 | Nutzertraffic |
Formatdifferent | Workshop | Workshop | Workshop + async | Async |
Outputdifferent | Leverage Map, Action Strategy | Test Matrix, Test Plan | Completed Experiment Canvas, Success Metric | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | Systems thinkingChangeStrategy | ExperimentsValidationDiscoveryOptions | ExperimentsValidationDiscoveryHypothesis | ValidationExperimentsDemandDiscovery |