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| Criterion |  UX Research Surveys |  Product Discovery Assumption Mapping |  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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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 | Medium | High | High |
Timedifferent | 3-14 Tage | 45-60 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 | Assumption map, Test backlog, Risk ranking | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Experiment results, Decision log, Learning summary |
Tagsno overlap | QuantitativeResearchValidation | AssumptionsRiskExperimentsValidation | OutcomesInnovationResearchQuantitative | ExperimentsGrowthAnalyticsValidation |