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| Criterion |  UX Research Tree Testing |  Product Discovery Concierge MVP |  UX Research Card Sorting |  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 an idea can first fail or grow through genuine hands-on support, it relies on manual work instead of automation. It shows whether user value holds up even under manual execution. | When content only makes sense internally and users can't find the structure again, card sorting exposes their mental order. Terms, groups, and naming are then aligned with the target group's expectations. | 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 | Medium | Low | Medium |
Timedifferent | 1-2 Tage | 1-4 Wochen | 20-45 min | 1-5 Tage |
Participantsdifferent | Based on research question | 3-10 Kunden | Based on research question | Nutzertraffic |
Formatdifferent | Async | Workshop + async | Workshop + async | Async |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | Concierge Learnings, Service Blueprint, MVP Risks | Content groups, Label set, IA hypotheses | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | Information architectureNavigationFindability | MVPValidationServiceDiscovery | Information architectureNavigationStructure | ValidationExperimentsDemandDiscovery |