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| Criterion |  UX Research Surveys |  Operations Root Cause Analysis |  Product Discovery Outcome-Driven Innovation |  Operations Root Cause Tree 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 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. | 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. | 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. |
Complexitydifferent | Medium | Medium | High | Medium |
Timedifferent | 3-14 Tage | 1-4 h | Mehrere Wochen | 1-3 h |
Participantsdifferent | 50+ | 3-8 | 2-6 researchers plus sample | 2-8 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Survey Results, Charts, Segment Insights | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Cause Tree, Evidence Notes, Countermeasures |
Tagsno overlap | QuantitativeResearchValidation | Root causeProblem solvingQualityIncident | OutcomesInnovationResearchQuantitative | Root causeTreeIncidentQuality |