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| Criterion |  Decision Making Decision Matrix |  UX Research Tree Testing |  UX Research First-click Testing |  Product Strategy RICE Scoring |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | When many initiatives compete for the same resources, it brings reach, impact, confidence, and effort into one shared ranking. It makes prioritization economically connectable. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | 45-90 min | 1-2 Tage | 1-2 Tage | 60-90 min |
Participantsdifferent | 2-8 | Based on research question | 10-30 | 2-10 |
Formatdifferent | Workshop + async | Async | Async | Workshop + async |
Outputdifferent | Decision Matrix, Scoring Rationale, Selected Option | Findability Metrics, Path Analysis, Revised IA | Click Heatmap, Success Rate, Design Recommendations | RICE Scores, Ranked List, Assumption Log |
Tagsno overlap | DecisionCriteriaScoringTradeoffs | Information architectureNavigationFindability | UXNavigationFindabilityValidation | PrioritizationScoringRoadmapTradeoffs |