Helps clarify relationships, patterns, and leverage in concrete terms. It draws relationships, patterns, and feedback loops. The result is captured as a simulation model and scenario reports.
System Dynamics Simulation
Moves relationships, patterns, and leverage toward a concrete result through "define the question and time horizon", "define stocks and flows", and "run scenarios and vary assumptions".
Which dynamic effects and policy levers become visible when qualitative structure is calculated as quantitative model across the time horizon?
The team follows the steps "define the question and time horizon", "define stocks and flows", "draw feedback loops", "estimate rates and initial values", "implement the model", and "run scenarios and vary assumptions". Each step is made visible. At the end, a simulation model and scenario reports are available so decisions, tests, or actions can continue directly.
Visual orientation
Method sketch for a quick mental model.
Flow
- 1Define the question and time horizon
- 2Define stocks and flows
- 3Draw feedback loops
- 4Estimate rates and initial values
- 5Implement the model
- 6Run scenarios and vary assumptions
The runsheet guides execution with 6 phases, timeboxes, 6 pitfalls, and clear stop criteria.
Open runsheetIdeal for
- Public policy
- Climate and energy models
- Business model stress testing
Not good for
- Fast operational decisions
Deep dive
System Dynamics Simulation goes back to Jay Forrester and combines qualitative models such as Causal Loop Diagrams with quantitative stocks, flows, and auxiliary variables. Tools such as Vensim, Stella, or Simantics calculate scenarios over time and enable policy tests. It is often used in sustainability, public policy, and strategy consulting.
Start with the stock-and-flow diagram. Use sensitivity analysis instead of emphasizing single-point forecasts. Keep assumptions explicit.
System Dynamics Simulation Working TemplateCompact working template for System Dynamics Simulation with context, input, output artifacts, and next step.markdown
system-dynamics-simulation-working-template.md
Compact working template for System Dynamics Simulation with context, input, output artifacts, and next step.
System Dynamics Simulation Working Template
Goal
Quantitative simulation model built from stocks, flows, and feedback loops.
Context
When and for what do we use this method?
Input
Which data, observations, decisions, or materials are available?
Execution
Short notes along the runsheet.
Output artifacts
- Simulation model:
- Scenario reports:
Assumptions and open questions
- ...
Decision / next step
Owner, date, and success signal.
When to choose differently
Short decision aid for existing alternatives.
Statt System Dynamics Simulation, wenn ihr Bestände, Zu- und Abflüsse sowie deren Dynamik präzise modellieren wollt.
Similar methods
All methodsTurns relationships, patterns, and leverage points into a tangible result by choosing a variable and time span, plotting the trend over time, and deriving cause hypotheses.
Turns relationships, patterns, and leverage points into a tangible result by naming stocks, identifying inflows and outflows, and deriving behavior.
Statt System Dynamics Simulation, wenn ihr Bestände, Zu- und Abflüsse sowie deren Dynamik präzise modellieren wollt.
Moves relationships, patterns, and leverage toward a concrete result through "introduce the twelve leverage points", "collect planned actions", and "formulate a strategy across multiple levers".
Moves relationships, patterns, and leverage toward a concrete result through "formulate current observations", "introduce archetype cards", and "discuss leverage and derive actions".
Turns relationships, patterns, and leverage points into a tangible result by collecting variables, drawing causal links, and discussing leverage points.
Clarifies connections, patterns, and leverage points by collecting undesirable effects, formulating causal links, and deriving interventions.