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| Criterion |  Operations Root Cause Tree Analysis |  UX Research Surveys |  Product Discovery Outcome-Driven Innovation |  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. | 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 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 | Mehrere Wochen | 15-30 min |
Participantsdifferent | 2-8 | 50+ | 2-6 researchers plus sample | 2-6 |
Formatdifferent | Workshop | Async | Workshop + async | Workshop |
Outputdifferent | Cause Tree, Evidence Notes, Countermeasures | Survey Results, Charts, Segment Insights | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Root cause notes, Countermeasures |
Tagsno overlap | Root causeTreeIncidentQuality | QuantitativeResearchValidation | OutcomesInnovationResearchQuantitative | Root causeIncidentLeanProblem solving |