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| Criterion | ![]() Systems Thinking Leverage Points | ![]() Decision Making Force Field Analysis | ![]() 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. | In change initiatives, supporting and restraining forces sit at the table at the same time. Force Field Analysis makes these tensions explicit and shows where change can be pushed forward by strengthening or relieving. | 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 | Low | Medium | Low |
Timedifferent | Half day | 45-90 min | 1-5 Tage | 30-60 min |
Participantsdifferent | 3-12 | 3-12 | Nutzertraffic | 1-5 |
Formatdifferent | Workshop | Workshop | Async | Workshop + async |
Outputdifferent | Leverage Map, Action Strategy | Force Field Map, Change Levers, Risk Notes | Click Data, Interest Signal, Learning Decision | Completed Experiment Canvas, Success Metric |
Tagsno overlap | Systems thinkingChangeStrategy | ChangeDecisionStrategy | ValidationExperimentsDemandDiscovery | ExperimentsValidationDiscoveryHypothesis |



