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Criterion
Paper illustration of System Dynamics Simulation with its method-specific working model.
Systems Thinking
System Dynamics Simulation
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
Paper illustration for Causal Factor Analysis.
Operations
Causal Factor Analysis
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.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.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
HighMediumMediumHigh
Timedifferent
Mehrere Tage bis Wochen30-90 min1-3 h2-6 h
Participantsdifferent
1-5 Modellierende, Stakeholder asynchron3-122-83-10
Formatdifferent
AsyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Simulation Model, Scenario ReportsPostmortem Doc, Action Items, TimelineCausal Loop Diagram, Feedback Notes, Leverage PointsEvent Timeline, Causal Factor Chart, Cause List, Corrective Actions
Tagsno overlap
Systems thinkingDynamicsSimulationAnalysis
Site Reliability EngineeringIncidentLearningReliability
FeedbackSystems thinkingCausalityDynamics
CausalityIncidentRoot causeTimeline
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