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| Criterion |  Knowledge Modeling PARA Method |  Operations PDCA Cycle |  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. | 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 | 1-3 h Setup, laufend | 1 h bis mehrere Wochen | 2-6 h |
Participantsdifferent | 1 | 1-8 | 3-10 |
Formatdifferent | Async | Workshop + async | Workshop + async |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | KnowledgeProductivityOrganization | Continuous improvementLeanExperiments | CausalityIncidentRoot causeTimeline |
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