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| Criterion |  Decision Making Decision Matrix |  UX Research Tree Testing |  Decision Making Trade-off Analysis |  Decision Making Constraint 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. | 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. | When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | 45-90 min | 1-2 Tage | 45-120 min | 30-90 min |
Participantsdifferent | 2-8 | Based on research question | 2-8 | 2-8 |
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 | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | DecisionCriteriaScoringTradeoffs | Information architectureNavigationFindability | TradeoffsDecisionCriteriaOptions | ConstraintsDecisionPlanningOptions |