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