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| Criterion | ![]() Product Discovery Outcome-Driven Innovation | ![]() Operations Family Tree Analysis | ![]() Operations MORT Analysis | ![]() Operations Causal Factor 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 series of incidents with a similar pattern, the method arranges individual events as branches of a common origin. It makes visible which conditions keep recurring. | 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 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. |
Complexitydifferent | High | Medium | High | High |
Timedifferent | Mehrere Wochen | 2-4 h | Mehrere Tage bis Wochen | 2-6 h |
Participantsdifferent | 2-6 researchers plus sample | 2-6 | 2-6 | 3-10 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Family Tree Diagram, Pattern Notes, Systemic Measures | MORT Worksheets, Findings per Branch, Corrective Actions, Systemic Recommendations | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | OutcomesInnovationResearchQuantitative | Root causePatternsIncidentSystemic | Root causeSafetySystemicIncident | CausalityIncidentRoot causeTimeline |



