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Criterion
Paper illustration for Causal Factor Analysis.
Operations
Causal Factor Analysis
ChatOps workspace showing the question, observations, and next decision.
DevOps
ChatOps
Stock and Flow Diagram method illustration showing its working structure
Systems Thinking
Stock and Flow Diagram
Paper illustration of System Dynamics Simulation with its method-specific working model.
Systems Thinking
System Dynamics Simulation
Purposedifferent
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.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.A Stock and Flow Diagram shows how stocks, inflows, and outflows shape a system over time. It is especially suited when growth, delays, or capacity limits determine the dynamics.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.
Complexitydifferent
HighMediumHighHigh
Timedifferent
2-6 hOngoing2-6 hMehrere Tage bis Wochen
Participantsdifferent
3-102-201-61-5 Modellierende, Stakeholder asynchron
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Event Timeline, Causal Factor Chart, Cause List, Corrective ActionsChat Transcript, Action Log, AutomationsStock and Flow Model, Dynamics Notes, Simulation HypothesesSimulation Model, Scenario Reports
Tagsno overlap
CausalityIncidentRoot causeTimeline
CollaborationEngineeringIncident
DynamicsSimulationFeedbackSystems thinking
Systems thinkingDynamicsSimulationAnalysis
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