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| Criterion |  Product Discovery Outcome-Driven Innovation |  UX Research Tree Testing |  UX Research Surveys |  UX Research First-click Testing |
|---|---|---|---|---|
Purposedifferent | 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 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 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. | When users immediately turn the wrong way on a screen or wireframe, first click testing checks initial orientation at high speed. The first click shows early whether expectation, labeling, and wayfinding fit together. |
Complexitydifferent | High | Medium | Medium | Low |
Timedifferent | Mehrere Wochen | 1-2 Tage | 3-14 Tage | 1-2 Tage |
Participantsdifferent | 2-6 researchers plus sample | Based on research question | 50+ | 10-30 |
Formatdifferent | Workshop + async | Async | Async | Async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Findability Metrics, Path Analysis, Revised IA | Survey Results, Charts, Segment Insights | Click Heatmap, Success Rate, Design Recommendations |
Tagsno overlap | OutcomesInnovationResearchQuantitative | Information architectureNavigationFindability | QuantitativeResearchValidation | UXNavigationFindabilityValidation |