Causal Loop Diagram
A systems thinking tool for mapping the feedback loops, delays, and relationships between variables in a complex system. Arrows show causal relationships (positive = same direction, negative = opposite direction). Loops reveal reinforcing dynamics (growth or collapse) and balancing dynamics (regulation). CLDs help teams see systemic causes of problems rather than treating symptoms.
Comment l'animer
- 1
Identify the key variables in the system you're exploring.
- 2
Start with the main problem or outcome variable and ask: 'What causes this to increase or decrease?'
- 3
Draw arrows from cause to effect. Label arrows + (same direction) or - (opposite direction).
- 4
Continue building outward: what do those causes affect? What affects them?
- 5
Identify loops: follow arrows to see if they circle back to the starting variable.
- 6
Label reinforcing loops (R) and balancing loops (B).
- 7
Identify high-leverage intervention points: where could a small change produce significant system-wide effects?
- 8
Discuss: what interventions are already being tried and why aren't they working?
Conseils
Start simple — 5–8 variables is enough for a first pass.
Add complexity only as needed.
The goal is insight, not a perfect model.
Look for the loops first; they explain most system behaviour.',
Variantes
Combine with a stock-and-flow diagram for more precise modelling. Use software (Vensim, Kumu) for complex systems. Run as a group sense-making exercise without formal notation for less technical audiences.
Contextes d'utilisation
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