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| Criterion |  Decision Making Decision Matrix |  UX Research Tree Testing |  Product Strategy RICE Scoring |  Decision Making Trade-off Analysis |
|---|---|---|---|---|
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. | With limited resources, quality, speed, cost, and risk almost always compete with each other. Trade-off Analysis makes these tensions explicit and prevents decisions from producing hidden side effects. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 45-90 min | 1-2 Tage | 60-90 min | 45-120 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 | Trade-off Matrix, Criteria List, Decision Rationale, Accepted Downsides |
Tagsno overlap | DecisionCriteriaScoringTradeoffs | Information architectureNavigationFindability | PrioritizationScoringRoadmapTradeoffs | TradeoffsDecisionCriteriaOptions |