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| Criterion |  UX Research Tree Testing |  Product Strategy ICE Scoring |  Delivery MoSCoW |  Decision Making Decision Matrix |
|---|---|---|---|---|
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 a release carries too many demands and priorities are only ever negotiated, MoSCoW creates clear boundaries for the next cut. Must, Should, Could, and Won't make commitment, room for maneuver, and trade-off logic visible to everyone involved. | 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. |
Complexitydifferent | Medium | Low | Low | Medium |
Timedifferent | 1-2 Tage | 30-60 min | 30-90 min | 45-90 min |
Participantsdifferent | Based on research question | 2-8 | 3-12 | 2-8 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | ICE Table, Top Idea List | Prioritized Backlog, Release Scope, Tradeoff Notes | Decision Matrix, Scoring Rationale, Selected Option |
Tagsno overlap | Information architectureNavigationFindability | PrioritizationScoringGrowthDecision | PrioritizationScopeDecision | DecisionCriteriaScoringTradeoffs |