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| Criterion |  UX Research Tree Testing |  Innovation Lean Startup |  Product Discovery MVP Test Matrix |  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. | 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 several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan. | 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 | 1-2 Tage | Wochen bis Monate je Lernzyklus | 45-75 min | 1-5 Tage |
Participantsdifferent | Based on research question | 2-8 | 2-8 | Nutzertraffic |
Formatdifferent | Async | Workshop + async | Workshop | Async |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | Test Matrix, Test Plan | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | Information architectureNavigationFindability | LeanStartupValidationMVP | ExperimentsValidationDiscoveryOptions | ValidationExperimentsDemandDiscovery |