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| Criterion |  Product Strategy ICE Scoring |  UX Research First-click Testing |  Growth A/B Testing |
|---|---|---|---|
Purposedifferent | 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 users immediately turn the wrong way on a screen or wireframe, first click testing checks initial orientation at high speed. The first click shows early whether expectation, labeling, and wayfinding fit together. | 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 | Low | Low | High |
Timedifferent | 30-60 min | 1-2 Tage | 1-4 Wochen |
Participantsdifferent | 2-8 | 10-30 | 1-6 |
Formatdifferent | Workshop + async | Async | Async |
Outputdifferent | ICE Table, Top Idea List | Click Heatmap, Success Rate, Design Recommendations | Experiment results, Decision log, Learning summary |
Tagsno overlap | PrioritizationScoringGrowthDecision | UXNavigationFindabilityValidation | ExperimentsGrowthAnalyticsValidation |
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