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| Criterion |  UX Research Tree Testing |  Product Discovery Concierge MVP |  Product Discovery Wizard of Oz 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 a new experience would still be too expensive to automate for real, it simulates the outcome behind the scenes. It checks user reaction and value before the technology disappears. |
Complexitydifferent | Medium | Medium | High |
Timedifferent | 1-2 Tage | 1-4 Wochen | 2-10 Tage |
Participantsdifferent | Based on research question | 3-10 Kunden | 5-20 Nutzer |
Formatdifferent | Async | Workshop + async | Workshop + async |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | Concierge Learnings, Service Blueprint, MVP Risks | Prototype Learnings, Manual Effort Notes, Risk List |
Tagsno overlap | Information architectureNavigationFindability | MVPValidationServiceDiscovery | PrototypeValidationMVP |
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