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| Criterion |  UX Research Tree Testing |  Product Discovery Pretotyping |  Innovation Lean Startup |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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 | Medium | Low | Medium | Medium |
Timedifferent | 1-2 Tage | Stunden bis wenige Tage | Wochen bis Monate je Lernzyklus | 1-5 Tage |
Participantsdifferent | Based on research question | 1-4 | 2-8 | Nutzertraffic |
Formatdifferent | Async | Workshop + async | Workshop + async | Async |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | Information architectureNavigationFindability | ValidationDemandMVP | LeanStartupValidationMVP | ValidationExperimentsDemandDiscovery |