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| Criterion | ![]() Systems Thinking Leverage Points | ![]() Product Discovery Hypothesis Prioritization Canvas | ![]() Product Discovery Fake Door Test | ![]() Product Discovery MVP Test Matrix |
|---|---|---|---|---|
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 many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | 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. | 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. |
Complexitydifferent | High | Medium | Medium | Medium |
Timedifferent | Half day | 60-90 min | 1-5 Tage | 45-75 min |
Participantsdifferent | 3-12 | 3-8 | Nutzertraffic | 2-8 |
Formatdifferent | Workshop | Workshop | Async | Workshop |
Outputdifferent | Leverage Map, Action Strategy | Prioritization Canvas, Hypothesis Backlog | Click Data, Interest Signal, Learning Decision | Test Matrix, Test Plan |
Tagsno overlap | Systems thinkingChangeStrategy | ExperimentsPrioritizationDiscoveryHypothesis | ValidationExperimentsDemandDiscovery | ExperimentsValidationDiscoveryOptions |



