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| Criterion |  Product Discovery Outcome-Driven Innovation |  Operations Fault Tree Analysis |  UX Research Surveys |
|---|---|---|---|
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. | For a critical top event with several possible triggers, the method logically models failure paths. It makes visible which combinations of conditions can lead to damage. | 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. |
Complexitydifferent | High | High | Medium |
Timedifferent | Mehrere Wochen | 2-6 h | 3-14 Tage |
Participantsdifferent | 2-6 researchers plus sample | 3-8 | 50+ |
Formatdifferent | Workshop + async | Workshop + async | Async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Fault Tree, Critical Paths, Cause Hypotheses, Control Actions | Survey Results, Charts, Segment Insights |
Tagsno overlap | OutcomesInnovationResearchQuantitative | RiskRoot causeSafety | QuantitativeResearchValidation |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
