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| Criterion |  UX Research Tree Testing |  Product Discovery Concierge MVP |  Innovation Design Thinking |
|---|---|---|---|
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. | For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service. |
Complexitydifferent | Medium | Medium | High |
Timedifferent | 1-2 Tage | 1-4 Wochen | 1 Tag bis mehrere Wochen |
Participantsdifferent | Based on research question | 3-10 Kunden | 4-10 |
Formatdifferent | Async | Workshop + async | Workshop |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | Concierge Learnings, Service Blueprint, MVP Risks | Problem Statement, Prototype, Test Learnings |
Tagsno overlap | Information architectureNavigationFindability | MVPValidationServiceDiscovery | InnovationPrototypeResearch |
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