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| Criterion |  UX Research Surveys |  Innovation Lean Startup |  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. | For uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight. | 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 3-14 Tage | Wochen bis Monate je Lernzyklus | 1-3 h | 1-4 h |
Participantsdifferent | 50+ | 2-8 | 2-8 | 3-8 |
Formatdifferent | Async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Survey Results, Charts, Segment Insights | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | Cause Tree, Evidence Notes, Countermeasures | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tagsno overlap | QuantitativeResearchValidation | LeanStartupValidationMVP | Root causeTreeIncidentQuality | Root causeProblem solvingQualityIncident |