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Criterion
Causal Loop Diagram workspace showing the question, observations, and next decision.
Systems Thinking
Causal Loop Diagram
Paper illustration for Learning Review.
Operations
Learning Review
Blameless Postmortem workspace showing the question, observations, and next decision.
DevOps
Blameless Postmortem
Stock and Flow Diagram method illustration showing its working structure
Systems Thinking
Stock and Flow Diagram
Purposedifferent
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.After a project phase with mixed results, the method makes learning from the individual case reusable. It connects events, decisions, and systemic conditions into robust insights.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 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.
Complexitydifferent
MediumMediumMediumHigh
Timedifferent
1-3 h1-3 h30-90 min2-6 h
Participantsdifferent
2-83-103-121-6
Formatdifferent
WorkshopWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Causal Loop Diagram, Feedback Notes, Leverage PointsLearning Review Notes, System Factors, Improvement ActionsPostmortem Doc, Action Items, TimelineStock and Flow Model, Dynamics Notes, Simulation Hypotheses
Tagsno overlap
FeedbackSystems thinkingCausalityDynamics
LearningRetrospectiveIncidentOperations
Site Reliability EngineeringIncidentLearningReliability
DynamicsSimulationFeedbackSystems thinking
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