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| Criterion |  Operations Root Cause Tree Analysis |  UX Research Surveys |  Innovation Design Thinking |  Product Discovery Outcome-Driven Innovation |
|---|---|---|---|---|
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 complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service. | 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. |
Complexitydifferent | Medium | Medium | High | High |
Timedifferent | 1-3 h | 3-14 Tage | 1 Tag bis mehrere Wochen | Mehrere Wochen |
Participantsdifferent | 2-8 | 50+ | 4-10 | 2-6 researchers plus sample |
Formatdifferent | Workshop | Async | Workshop | Workshop + async |
Outputdifferent | Cause Tree, Evidence Notes, Countermeasures | Survey Results, Charts, Segment Insights | Problem Statement, Prototype, Test Learnings | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses |
Tagsno overlap | Root causeTreeIncidentQuality | QuantitativeResearchValidation | InnovationPrototypeResearch | OutcomesInnovationResearchQuantitative |