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| Criterion |  Product Discovery Outcome-Driven Innovation |  UX Research First-click Testing |  UX Research Card Sorting |  UX Research Tree 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 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. | 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. | 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. |
Complexitydifferent | High | Low | Low | Medium |
Timedifferent | Mehrere Wochen | 1-2 Tage | 20-45 min | 1-2 Tage |
Participantsdifferent | 2-6 researchers plus sample | 10-30 | Based on research question | Based on research question |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Click Heatmap, Success Rate, Design Recommendations | Content groups, Label set, IA hypotheses | Findability Metrics, Path Analysis, Revised IA |
Tagsno overlap | OutcomesInnovationResearchQuantitative | UXNavigationFindabilityValidation | Information architectureNavigationStructure | Information architectureNavigationFindability |