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| Criterion |  UX Research Tree Testing |  UX Research First-click Testing |  Innovation Design Thinking |  Product Discovery Outcome-Driven Innovation |
|---|---|---|---|---|
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 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. | 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. | 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. |
Complexitydifferent | Medium | Low | High | High |
Timedifferent | 1-2 Tage | 1-2 Tage | 1 Tag bis mehrere Wochen | Mehrere Wochen |
Participantsdifferent | Based on research question | 10-30 | 4-10 | 2-6 researchers plus sample |
Formatdifferent | Async | Async | Workshop | Workshop + async |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | Click Heatmap, Success Rate, Design Recommendations | Problem Statement, Prototype, Test Learnings | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses |
Tagsno overlap | Information architectureNavigationFindability | UXNavigationFindabilityValidation | InnovationPrototypeResearch | OutcomesInnovationResearchQuantitative |