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| Criterion |  Product Discovery Pretotyping |  Product Discovery Assumption Mapping |  Product Discovery Experiment Canvas |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | Pretotyping clarifies whether a customer problem and solution idea create enough real demand. It separates problem, assumption, solution, and evidence, and captures the result as a pretotyping sketch, test setup, and conversion data. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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 | Low | Medium | Low | Medium |
Timedifferent | Stunden bis wenige Tage | 45-60 min | 30-60 min | 1-5 Tage |
Participantsdifferent | 1-4 | 2-8 | 1-5 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision | Assumption map, Test backlog, Risk ranking | Completed Experiment Canvas, Success Metric | Click Data, Interest Signal, Learning Decision |
Tags1 shared | ValidationDemandMVP | AssumptionsRiskExperimentsValidation | ExperimentsValidationDiscoveryHypothesis | ValidationExperimentsDemandDiscovery |