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| Criterion |  Product Discovery Pretotyping |  UX Research Tree Testing |  Innovation Lean Startup |  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 a navigation exists but search paths still fail, tree testing checks findability without visual distraction. The method shows whether labels, levels, and paths really lead to the intended destination. | 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 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 | Medium | Medium |
Timedifferent | Stunden bis wenige Tage | 1-2 Tage | Wochen bis Monate je Lernzyklus | 1-5 Tage |
Participantsdifferent | 1-4 | Based on research question | 2-8 | Nutzertraffic |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision | Findability Metrics, Path Analysis, Revised IA | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | ValidationDemandMVP | Information architectureNavigationFindability | LeanStartupValidationMVP | ValidationExperimentsDemandDiscovery |