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| Criterion |  UX Research Surveys |  Growth A/B Testing |  Operations Root Cause Tree Analysis |  Operations Root Cause Analysis |
|---|---|---|---|---|
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 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. | For a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie. | When a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another. |
Complexitydifferent | Medium | High | Medium | Medium |
Timedifferent | 3-14 Tage | 1-4 Wochen | 1-3 h | 1-4 h |
Participantsdifferent | 50+ | 1-6 | 2-8 | 3-8 |
Formatdifferent | Async | Async | Workshop | Workshop + async |
Outputdifferent | Survey Results, Charts, Segment Insights | Experiment results, Decision log, Learning summary | Cause Tree, Evidence Notes, Countermeasures | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tagsno overlap | QuantitativeResearchValidation | ExperimentsGrowthAnalyticsValidation | Root causeTreeIncidentQuality | Root causeProblem solvingQualityIncident |