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| Criterion |  Product Discovery Fake Door Test |  Decision Making Force Field Analysis |  Product Discovery Hypothesis Prioritization Canvas |  Product Discovery Learning Card |
|---|---|---|---|---|
Purposedifferent | 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. | 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 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. | The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible. |
Complexitydifferent | Medium | Low | Medium | Low |
Timedifferent | 1-5 Tage | 45-90 min | 60-90 min | 25-40 min |
Participantsdifferent | Nutzertraffic | 3-12 | 3-8 | 1-5 |
Formatdifferent | Async | Workshop | Workshop | Workshop + async |
Outputdifferent | Click Data, Interest Signal, Learning Decision | Force Field Map, Change Levers, Risk Notes | Prioritization Canvas, Hypothesis Backlog | Learning Card with evidence and next action |
Tagsno overlap | ValidationExperimentsDemandDiscovery | ChangeDecisionStrategy | ExperimentsPrioritizationDiscoveryHypothesis | ExperimentsValidationDiscoveryLearning |