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Criterion
Paper illustration of System Dynamics Simulation with its method-specific working model.
Systems Thinking
System Dynamics Simulation
ChatOps workspace showing the question, observations, and next decision.
DevOps
ChatOps
Blameless Postmortem workspace showing the question, observations, and next decision.
DevOps
Blameless Postmortem
Causal Loop Diagram workspace showing the question, observations, and next decision.
Systems Thinking
Causal Loop Diagram
Purposedifferent
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.For operational work in a distributed team, the method links communication with direct system control. It records decisions right where the signal, the context, and the execution come together.After an incident with damage or a near miss, the method creates a sober field for learning without assigning blame. It directs attention to the course of events, conditions, and effective countermeasures.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
HighMediumMediumMedium
Timedifferent
Mehrere Tage bis WochenOngoing30-90 min1-3 h
Participantsdifferent
1-5 Modellierende, Stakeholder asynchron2-203-122-8
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Simulation Model, Scenario ReportsChat Transcript, Action Log, AutomationsPostmortem Doc, Action Items, TimelineCausal Loop Diagram, Feedback Notes, Leverage Points
Tagsno overlap
Systems thinkingDynamicsSimulationAnalysis
CollaborationEngineeringIncident
Site Reliability EngineeringIncidentLearningReliability
FeedbackSystems thinkingCausalityDynamics
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