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| Criterion |  UX Research Tree Testing |  Product Strategy RICE Scoring |  Operations ABC Analysis |  Product Strategy ICE Scoring |
|---|---|---|---|---|
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 many initiatives compete for the same resources, it brings reach, impact, confidence, and effort into one shared ranking. It makes prioritization economically connectable. | With many similar objects of differing economic significance, the method prioritizes effort by effect. It separates what needs regular steering from what rarely needs attention. | 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. |
Complexitydifferent | Medium | Medium | Low | Low |
Timedifferent | 1-2 Tage | 60-90 min | 30-60 min | 30-60 min |
Participantsdifferent | Based on research question | 2-10 | 1-5 | 2-8 |
Formatdifferent | Async | Workshop + async | Async | Workshop + async |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | RICE Scores, Ranked List, Assumption Log | ABC Classification, Focus Rules, Control List | ICE Table, Top Idea List |
Tagsno overlap | Information architectureNavigationFindability | PrioritizationScoringRoadmapTradeoffs | PrioritizationOperationsPortfolio | PrioritizationScoringGrowthDecision |