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Criterion
Causal Loop Diagram workspace showing the question, observations, and next decision.
Systems Thinking
Causal Loop Diagram
Context Map workspace showing the question, observations, and next decision.
Domain Modeling
Context Map
Paper illustration of Leverage Points with its method-specific working model.
Systems Thinking
Leverage Points
Systems Mapping method illustration showing its working structure
Systems Thinking
Systems Mapping
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.When several contexts need to talk to each other, it makes their relationships and dependencies legible. It helps sort integration pressure and responsibilities across system boundaries.Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy.Systems Mapping arranges elements, relationships, and boundaries so a complex field becomes legible at a glance. The overview stabilizes the overall picture before detail work or steering begins.
Complexitydifferent
MediumMediumHighMedium
Timedifferent
1-3 h1-3 hHalf day1-3 h
Participantsdifferent
2-82-83-123-12
Formatdifferent
WorkshopWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Causal Loop Diagram, Feedback Notes, Leverage PointsContext Map, Integration Patterns, Boundary NotesLeverage Map, Action StrategySystem Map, Dependencies, Leverage Points
Tagsno overlap
FeedbackSystems thinkingCausalityDynamics
Domain-Driven DesignBoundariesStrategy
Systems thinkingChangeStrategy
Systems thinkingMappingBoundariesChange
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