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| Criterion |  UX Research Surveys |  Product Strategy ICE Scoring |  Growth A/B Testing |  Product Discovery Smoke Test |
|---|---|---|---|---|
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 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. | When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. |
Complexitydifferent | Medium | Low | High | Low |
Timedifferent | 3-14 Tage | 30-60 min | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 50+ | 2-8 | 1-6 | Nutzertraffic |
Formatdifferent | Async | Workshop + async | Async | Async |
Outputdifferent | Survey Results, Charts, Segment Insights | ICE Table, Top Idea List | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | QuantitativeResearchValidation | PrioritizationScoringGrowthDecision | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth |