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| Criterion |  UX Research Surveys |  Decision Making Decision Matrix |  Product Strategy ICE Scoring |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | When a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal. | 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. | 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 | Medium | Low | High |
Timedifferent | 3-14 Tage | 45-90 min | 30-60 min | 1-4 Wochen |
Participantsdifferent | 50+ | 2-8 | 2-8 | 1-6 |
Formatdifferent | Async | Workshop + async | Workshop + async | Async |
Outputdifferent | Survey Results, Charts, Segment Insights | Decision Matrix, Scoring Rationale, Selected Option | ICE Table, Top Idea List | Experiment results, Decision log, Learning summary |
Tagsno overlap | QuantitativeResearchValidation | DecisionCriteriaScoringTradeoffs | PrioritizationScoringGrowthDecision | ExperimentsGrowthAnalyticsValidation |