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| Criterion |  UX Research Surveys |  Product Strategy ICE Scoring |  Product Discovery Outcome-Driven Innovation |  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 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. | Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs. | 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 | High |
Timedifferent | 3-14 Tage | 30-60 min | Mehrere Wochen | 1-4 Wochen |
Participantsdifferent | 50+ | 2-8 | 2-6 researchers plus sample | 1-6 |
Formatdifferent | Async | Workshop + async | Workshop + async | Async |
Outputdifferent | Survey Results, Charts, Segment Insights | ICE Table, Top Idea List | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Experiment results, Decision log, Learning summary |
Tagsno overlap | QuantitativeResearchValidation | PrioritizationScoringGrowthDecision | OutcomesInnovationResearchQuantitative | ExperimentsGrowthAnalyticsValidation |