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| Criterion |  UX Research Tree Testing |  Product Strategy ICE Scoring |  UX Research First-click Testing |  Decision Making Decision Matrix |
|---|---|---|---|---|
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 ideas need sorting quickly, it condenses impact, confidence, and effort into one compact score. It connects customer value, product logic, and decision priorities. The result is captured as an ICE table and top-ideas list. | 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 several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic. |
Complexitydifferent | Medium | Low | Low | Medium |
Timedifferent | 1-2 Tage | 30-60 min | 1-2 Tage | 45-90 min |
Participantsdifferent | Based on research question | 2-8 | 10-30 | 2-8 |
Formatdifferent | Async | Workshop + async | Async | Workshop + async |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | ICE Table, Top Idea List | Click Heatmap, Success Rate, Design Recommendations | Decision Matrix, Scoring Rationale, Selected Option |
Tagsno overlap | Information architectureNavigationFindability | PrioritizationScoringGrowthDecision | UXNavigationFindabilityValidation | DecisionCriteriaScoringTradeoffs |