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| Criterion |  Knowledge Modeling PARA Method |  Knowledge Modeling Domain Storytelling |  Operations MORT Analysis |  Operations Causal Factor Analysis |
|---|---|---|---|---|
Purposedifferent | The PARA Method organizes knowledge into Projects, Areas, Resources, and Archives. It creates order when digital notes, files, and tasks no longer cleanly fit current work. | 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 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 | Medium | Low | High | High |
Timedifferent | 1-3 h Setup, laufend | 1-2 h | Mehrere Tage bis Wochen | 2-6 h |
Participantsdifferent | 1 | 2-8 | 2-6 | 3-10 |
Formatdifferent | Async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | Domain Story, Glossary Notes, Process Narrative | MORT Worksheets, Findings per Branch, Corrective Actions, Systemic Recommendations | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | KnowledgeProductivityOrganization | KnowledgeDomain-Driven DesignProcess | Root causeSafetySystemicIncident | CausalityIncidentRoot causeTimeline |