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| Criterion |  Decision Making Decision Matrix |  UX Research Tree Testing |  Decision Making Decision Tree |  UX Research Card Sorting |
|---|---|---|---|---|
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. | 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. | When content only makes sense internally and users can't find the structure again, card sorting exposes their mental order. Terms, groups, and naming are then aligned with the target group's expectations. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | 45-90 min | 1-2 Tage | 30-90 min | 20-45 min |
Participantsdifferent | 2-8 | Based on research question | 1-6 | Based on research question |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Decision Matrix, Scoring Rationale, Selected Option | Findability Metrics, Path Analysis, Revised IA | Decision Tree, Option Map, Assumption List | Content groups, Label set, IA hypotheses |
Tagsno overlap | DecisionCriteriaScoringTradeoffs | Information architectureNavigationFindability | DecisionTreeOptions | Information architectureNavigationStructure |