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| Criterion |  UX Research Tree Testing |  UX Research User Interviews |  Product Discovery Experiment Canvas |  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. | When teams derive needs only from assumptions and real motives are missing, user interviews give direct access to behavior and meaning. Conversations from the target group's everyday life make patterns, tensions, and open questions solidly visible. | 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. | 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 | Low | Medium |
Timedifferent | 1-2 Tage | 30–60 min per interview | 30-60 min | 1-5 Tage |
Participantsdifferent | Based on research question | 1 participant per interview | 1-5 | Nutzertraffic |
Formatdifferent | Async | Workshop + async | Workshop + async | Async |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | Interview Notes, Themes, Insight Summary | Completed Experiment Canvas, Success Metric | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | Information architectureNavigationFindability | QualitativeResearchCustomerDiscovery | ExperimentsValidationDiscoveryHypothesis | ValidationExperimentsDemandDiscovery |