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| Criterion |  UX Research User Interviews |  UX Research Tree Testing |  Product Discovery Hypothesis Prioritization Canvas |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | 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 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 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. |
Complexitydifferent | Low | Medium | Medium | Medium |
Timedifferent | 30–60 min per interview | 1-2 Tage | 60-90 min | 1-5 Tage |
Participantsdifferent | 1 participant per interview | Based on research question | 3-8 | Nutzertraffic |
Formatdifferent | Workshop + async | Async | Workshop | Async |
Outputdifferent | Interview Notes, Themes, Insight Summary | Findability Metrics, Path Analysis, Revised IA | Prioritization Canvas, Hypothesis Backlog | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | QualitativeResearchCustomerDiscovery | Information architectureNavigationFindability | ExperimentsPrioritizationDiscoveryHypothesis | ValidationExperimentsDemandDiscovery |