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| Criterion | ![]() Systems Thinking Leverage Points | ![]() Innovation Lean Startup | ![]() Product Discovery Fake Door Test | ![]() Product Discovery Experiment Canvas |
|---|---|---|---|---|
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. | For uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight. | 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 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. |
Complexitydifferent | High | Medium | Medium | Low |
Timedifferent | Half day | Wochen bis Monate je Lernzyklus | 1-5 Tage | 30-60 min |
Participantsdifferent | 3-12 | 2-8 | Nutzertraffic | 1-5 |
Formatdifferent | Workshop | Workshop + async | Async | Workshop + async |
Outputdifferent | Leverage Map, Action Strategy | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | Click Data, Interest Signal, Learning Decision | Completed Experiment Canvas, Success Metric |
Tagsno overlap | Systems thinkingChangeStrategy | LeanStartupValidationMVP | ValidationExperimentsDemandDiscovery | ExperimentsValidationDiscoveryHypothesis |



