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| Criterion |  Knowledge Modeling PARA Method |  Operations PDCA Cycle |  Systems Thinking System Dynamics Simulation |  Systems Thinking Causal Loop Diagram |
|---|---|---|---|---|
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. | System Dynamics Simulation makes assumptions about time, delay, and feedback testable through experiments. It draws relationships, patterns, and feedback loops. The result is captured as a simulation model and scenario reports. | A Causal Loop Diagram makes feedback, reinforcement, and balance in a system legible. It uncovers side effects and self-reinforcement that stay hidden in linear explanations. |
Complexitydifferent | Medium | Low | High | Medium |
Timedifferent | 1-3 h Setup, laufend | 1 h bis mehrere Wochen | Mehrere Tage bis Wochen | 1-3 h |
Participantsdifferent | 1 | 1-8 | 1-5 Modellierende, Stakeholder asynchron | 2-8 |
Formatdifferent | Async | Workshop + async | Async | Workshop |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Simulation Model, Scenario Reports | Causal Loop Diagram, Feedback Notes, Leverage Points |
Tagsno overlap | KnowledgeProductivityOrganization | Continuous improvementLeanExperiments | Systems thinkingDynamicsSimulationAnalysis | FeedbackSystems thinkingCausalityDynamics |