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| Criterion |  Operations PDCA Cycle |  Operations Fault Tree Analysis |  Operations Causal Factor Analysis |  Product Discovery Assumption Mapping |
|---|---|---|---|---|
Purposedifferent | For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode. | 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. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitydifferent | Low | High | High | Medium |
Timedifferent | 1 h bis mehrere Wochen | 2-6 h | 2-6 h | 45-60 min |
Participantsdifferent | 1-8 | 3-8 | 3-10 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Fault Tree, Critical Paths, Cause Hypotheses, Control Actions | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | Continuous improvementLeanExperiments | RiskRoot causeSafety | CausalityIncidentRoot causeTimeline | AssumptionsRiskExperimentsValidation |