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| Criterion |  UX Research Surveys |  Product Strategy Impact Mapping |  Growth A/B Testing |  Product Discovery Outcome-Driven Innovation |
|---|---|---|---|---|
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 a goal needs to be connected to several possible paths, it shows chains of impact instead of feature lists. It connects business goal, behavior change, and measures. | 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. | 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. |
Complexitydifferent | Medium | Medium | High | High |
Timedifferent | 3-14 Tage | 45-90 min | 1-4 Wochen | Mehrere Wochen |
Participantsdifferent | 50+ | 3-8 | 1-6 | 2-6 researchers plus sample |
Formatdifferent | Async | Workshop | Async | Workshop + async |
Outputdifferent | Survey Results, Charts, Segment Insights | Impact Map, Outcome Hypotheses, Delivery Options | Experiment results, Decision log, Learning summary | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses |
Tagsno overlap | QuantitativeResearchValidation | OutcomesStrategyBehaviorPlanning | ExperimentsGrowthAnalyticsValidation | OutcomesInnovationResearchQuantitative |