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| Criterion |  UX Research Tree Testing |  Product Strategy ICE Scoring |  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 ideas need sorting quickly, it condenses impact, confidence, and effort into one compact score. It connects customer value, product logic, and decision priorities. The result is captured as an ICE table and top-ideas list. | 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 | Low | Medium | Low |
Timedifferent | 1-2 Tage | 30-60 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 | ICE Table, Top Idea List | RICE Scores, Ranked List, Assumption Log | Content groups, Label set, IA hypotheses |
Tagsno overlap | Information architectureNavigationFindability | PrioritizationScoringGrowthDecision | PrioritizationScoringRoadmapTradeoffs | Information architectureNavigationStructure |