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| Criterion |  UX Research Tree Testing |  Product Strategy ICE Scoring |  Growth A/B Testing |
|---|---|---|---|
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 two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. |
Complexitydifferent | Medium | Low | High |
Timedifferent | 1-2 Tage | 30-60 min | 1-4 Wochen |
Participantsdifferent | Based on research question | 2-8 | 1-6 |
Formatdifferent | Async | Workshop + async | Async |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | ICE Table, Top Idea List | Experiment results, Decision log, Learning summary |
Tagsno overlap | Information architectureNavigationFindability | PrioritizationScoringGrowthDecision | ExperimentsGrowthAnalyticsValidation |
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