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| Criterion |  Product Discovery Outcome-Driven Innovation |  Operations Causal Factor Analysis |  Operations MORT Analysis |  Operations 5 Whys |
|---|---|---|---|---|
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 an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events. | 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. | For a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description. |
Complexitydifferent | High | High | High | Low |
Timedifferent | Mehrere Wochen | 2-6 h | Mehrere Tage bis Wochen | 15-30 min |
Participantsdifferent | 2-6 researchers plus sample | 3-10 | 2-6 | 2-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions | MORT Worksheets, Findings per Branch, Corrective Actions, Systemic Recommendations | Root cause notes, Countermeasures |
Tagsno overlap | OutcomesInnovationResearchQuantitative | CausalityIncidentRoot causeTimeline | Root causeSafetySystemicIncident | Root causeIncidentLeanProblem solving |