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| Criterion |  Domain Modeling EventStorming |  Operations PDCA Cycle |  Operations Causal Factor Analysis |
|---|---|---|---|
Purposedifferent | When a domain consists of many events, rules, and states, it creates a shared modeling space for the team. It bundles language, flows, and boundaries before domain knowledge fragments into siloed views. | 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 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 | Medium | Low | High |
Timedifferent | 2-8 h | 1 h bis mehrere Wochen | 2-6 h |
Participantsdifferent | 5-12 | 1-8 | 3-10 |
Formatdifferent | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | Domain-Driven DesignEventsDiscoveryWorkshop | Continuous improvementLeanExperiments | CausalityIncidentRoot causeTimeline |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
