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| Criterion |  Decision Making Decision Matrix |  UX Research Tree Testing |  Decision Making Trade-off Analysis |  Decision Making Decision Tree |
|---|---|---|---|---|
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. | 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. | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 45-90 min | 1-2 Tage | 45-120 min | 30-90 min |
Participantsdifferent | 2-8 | Based on research question | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Decision Matrix, Scoring Rationale, Selected Option | Findability Metrics, Path Analysis, Revised IA | Trade-off Matrix, Criteria List, Decision Rationale, Accepted Downsides | Decision Tree, Option Map, Assumption List |
Tagsno overlap | DecisionCriteriaScoringTradeoffs | Information architectureNavigationFindability | TradeoffsDecisionCriteriaOptions | DecisionTreeOptions |