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| Criterion |  Product Discovery Outcome-Driven Innovation |  Operations Barrier Analysis |  Growth A/B Testing |  Operations MORT 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. | For a risk that can only be managed through multiple layers of protection, the method examines the effectiveness of each barrier. It shows where safeguards are missing, too weak, or fail under real conditions. | 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. |
Complexitydifferent | High | Medium | High | High |
Timedifferent | Mehrere Wochen | 2-4 h | 1-4 Wochen | Mehrere Tage bis Wochen |
Participantsdifferent | 2-6 researchers plus sample | 2-6 | 1-6 | 2-6 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Barrier Inventory, Failure Analysis per Barrier, Action Backlog | Experiment results, Decision log, Learning summary | MORT Worksheets, Findings per Branch, Corrective Actions, Systemic Recommendations |
Tagsno overlap | OutcomesInnovationResearchQuantitative | Root causeSafetyIncident | ExperimentsGrowthAnalyticsValidation | Root causeSafetySystemicIncident |