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| Criterion | ![]() Decision Making Decision Matrix | ![]() UX Research Tree Testing | ![]() UX Research First-click Testing | ![]() Product Strategy ICE 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 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. |
Complexitydifferent | Medium | Medium | Low | Low |
Timedifferent | 45-90 min | 1-2 Tage | 1-2 Tage | 30-60 min |
Participantsdifferent | 2-8 | Based on research question | 10-30 | 2-8 |
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 | ICE Table, Top Idea List |
Tagsno overlap | DecisionCriteriaScoringTradeoffs | Information architectureNavigationFindability | UXNavigationFindabilityValidation | PrioritizationScoringGrowthDecision |



