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| Criterion |  Operations Root Cause Tree Analysis |  UX Research Surveys |  Operations Causal Factor Analysis |  Operations 5 Whys |
|---|---|---|---|---|
Purposedifferent | 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 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 an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events. | 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. |
Complexitydifferent | Medium | Medium | High | Low |
Timedifferent | 1-3 h | 3-14 Tage | 2-6 h | 15-30 min |
Participantsdifferent | 2-8 | 50+ | 3-10 | 2-6 |
Formatdifferent | Workshop | Async | Workshop + async | Workshop |
Outputdifferent | Cause Tree, Evidence Notes, Countermeasures | Survey Results, Charts, Segment Insights | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions | Root cause notes, Countermeasures |
Tagsno overlap | Root causeTreeIncidentQuality | QuantitativeResearchValidation | CausalityIncidentRoot causeTimeline | Root causeIncidentLeanProblem solving |