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| Criterion |  UX Research Tree Testing |  Decision Making Decision Matrix |  Product Strategy RICE Scoring |  UX Research Card Sorting |
|---|---|---|---|---|
Purposedifferent | 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 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 many initiatives compete for the same resources, it brings reach, impact, confidence, and effort into one shared ranking. It makes prioritization economically connectable. | 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 | 1-2 Tage | 45-90 min | 60-90 min | 20-45 min |
Participantsdifferent | Based on research question | 2-8 | 2-10 | Based on research question |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | Decision Matrix, Scoring Rationale, Selected Option | RICE Scores, Ranked List, Assumption Log | Content groups, Label set, IA hypotheses |
Tagsno overlap | Information architectureNavigationFindability | DecisionCriteriaScoringTradeoffs | PrioritizationScoringRoadmapTradeoffs | Information architectureNavigationStructure |