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| Criterion |  Product Discovery Fake Door Test |  Product Discovery Pretotyping |  Product Discovery Problem Interview |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
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. | 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 the picture of the problem still needs to become solid, it asks about real situations and consequences. It separates genuine suffering from mere interest in a solution. | 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 | Medium | Low | Medium | Low |
Timedifferent | 1-5 Tage | Stunden bis wenige Tage | 30-60 min je Interview | 30-60 min |
Participantsdifferent | Nutzertraffic | 1-4 | 5-12 Interviews | 1-5 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Click Data, Interest Signal, Learning Decision | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision | Problem Evidence, Risk Notes, Customer Segments | Completed Experiment Canvas, Success Metric |
Tags1 shared | ValidationExperimentsDemandDiscovery | ValidationDemandMVP | DiscoveryInterviewsValidation | ExperimentsValidationDiscoveryHypothesis |