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