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| Criterion |  UX Research Tree Testing |  Product Discovery Problem Interview |  Product Discovery Concierge MVP |  UX Research Card Sorting |
|---|---|---|---|---|
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 the picture of the problem still needs to become solid, it asks about real situations and consequences. It separates genuine suffering from mere interest in a solution. | 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. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | 1-2 Tage | 30-60 min je Interview | 1-4 Wochen | 20-45 min |
Participantsdifferent | Based on research question | 5-12 Interviews | 3-10 Kunden | Based on research question |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | Problem Evidence, Risk Notes, Customer Segments | Concierge Learnings, Service Blueprint, MVP Risks | Content groups, Label set, IA hypotheses |
Tagsno overlap | Information architectureNavigationFindability | DiscoveryInterviewsValidation | MVPValidationServiceDiscovery | Information architectureNavigationStructure |