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| Criterion |  UX Research Tree Testing |  UX Research Card Sorting |  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 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. | 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 | Low | High | Medium |
Timedifferent | 1-2 Tage | 20-45 min | 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 | Content groups, Label set, IA hypotheses | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Survey Results, Charts, Segment Insights |
Tagsno overlap | Information architectureNavigationFindability | Information architectureNavigationStructure | OutcomesInnovationResearchQuantitative | QuantitativeResearchValidation |