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