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| Criterion |  UX Research Tree Testing |  UX Research Usability Testing |  Product Discovery Outcome-Driven Innovation |  UX Research Surveys |
|---|---|---|---|---|
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 a product is built but people get stuck on tasks, usability testing shows the friction at concrete points. Observed use instead of self-report makes visible where orientation, understanding, or interaction breaks down. | Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs. | When a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal. |
Complexitydifferent | Medium | Medium | High | Medium |
Timedifferent | 1-2 Tage | 1-2 h je Session | Mehrere Wochen | 3-14 Tage |
Participantsdifferent | Based on research question | Based on research question | 2-6 researchers plus sample | 50+ |
Formatdifferent | Async | Workshop + async | Workshop + async | Async |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | Usability Issues, Severity List, Recommendations | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Survey Results, Charts, Segment Insights |
Tagsno overlap | Information architectureNavigationFindability | ValidationUXPrototype | OutcomesInnovationResearchQuantitative | QuantitativeResearchValidation |