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| Criterion |  UX Research Surveys |  Operations 5 Whys |  Growth A/B Testing |  Product Discovery Smoke Test |
|---|---|---|---|---|
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. | For a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description. | 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. | 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. |
Complexitydifferent | Medium | Low | High | Low |
Timedifferent | 3-14 Tage | 15-30 min | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 50+ | 2-6 | 1-6 | Nutzertraffic |
Formatdifferent | Async | Workshop | Async | Async |
Outputdifferent | Survey Results, Charts, Segment Insights | Root cause notes, Countermeasures | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | QuantitativeResearchValidation | Root causeIncidentLeanProblem solving | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth |