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