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| Criterion |  Product Discovery Outcome-Driven Innovation |  Growth A/B Testing |  Operations MORT 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. | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. | For a safety-relevant event or a system with high protection requirements, the method examines where controls failed. It exposes both technical and organizational gaps. | 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 | High | Medium |
Timedifferent | Mehrere Wochen | 1-4 Wochen | Mehrere Tage bis Wochen | 3-14 Tage |
Participantsdifferent | 2-6 researchers plus sample | 1-6 | 2-6 | 50+ |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Experiment results, Decision log, Learning summary | MORT Worksheets, Findings per Branch, Corrective Actions, Systemic Recommendations | Survey Results, Charts, Segment Insights |
Tagsno overlap | OutcomesInnovationResearchQuantitative | ExperimentsGrowthAnalyticsValidation | Root causeSafetySystemicIncident | QuantitativeResearchValidation |