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| Criterion |  Product Discovery Problem Interview |  Innovation Lean Startup |  Product Discovery Hypothesis Prioritization Canvas |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | 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. | 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 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. | 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 30-60 min je Interview | Wochen bis Monate je Lernzyklus | 60-90 min | 1-5 Tage |
Participantsdifferent | 5-12 Interviews | 2-8 | 3-8 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Async |
Outputdifferent | Problem Evidence, Risk Notes, Customer Segments | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | Prioritization Canvas, Hypothesis Backlog | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | DiscoveryInterviewsValidation | LeanStartupValidationMVP | ExperimentsPrioritizationDiscoveryHypothesis | ValidationExperimentsDemandDiscovery |