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| Criterion |  Product Discovery Outcome-Driven Innovation |  Operations Fault Tree Analysis |  Operations Causal Factor 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 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. | 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 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 | 2-6 h | 15-30 min |
Participantsdifferent | 2-6 researchers plus sample | 3-8 | 3-10 | 2-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Fault Tree, Critical Paths, Cause Hypotheses, Control Actions | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions | Root cause notes, Countermeasures |
Tagsno overlap | OutcomesInnovationResearchQuantitative | RiskRoot causeSafety | CausalityIncidentRoot causeTimeline | Root causeIncidentLeanProblem solving |