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| Criterion |  Operations PDCA Cycle |  Knowledge Modeling Domain Storytelling |  Operations Causal Factor Analysis |
|---|---|---|---|
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. | Domain Storytelling translates domain knowledge into a shared narrative of actors, objects, and workflows. It is especially useful when language, rules, and process understanding must be tightly connected. | 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 | Low | Low | High |
Timedifferent | 1 h bis mehrere Wochen | 1-2 h | 2-6 h |
Participantsdifferent | 1-8 | 2-8 | 3-10 |
Formatdifferent | Workshop + async | Workshop | Workshop + async |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Domain Story, Glossary Notes, Process Narrative | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | Continuous improvementLeanExperiments | KnowledgeDomain-Driven DesignProcess | CausalityIncidentRoot causeTimeline |
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