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| Criterion |  Growth A/B Testing |  Product Discovery Outcome-Driven Innovation |  Product Discovery Smoke Test |  UX Research Surveys |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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. |
Complexitydifferent | High | High | Low | Medium |
Timedifferent | 1-4 Wochen | Mehrere Wochen | 1-5 Tage | 3-14 Tage |
Participantsdifferent | 1-6 | 2-6 researchers plus sample | Nutzertraffic | 50+ |
Formatdifferent | Async | Workshop + async | Async | Async |
Outputdifferent | Experiment results, Decision log, Learning summary | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Interest Metrics, Conversion Signal, Learning Note | Survey Results, Charts, Segment Insights |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | OutcomesInnovationResearchQuantitative | ValidationExperimentsDemandGrowth | QuantitativeResearchValidation |