felipecustodio Overview & Purpose
Systems Thinking treats problems as parts of an overall system rather than isolated events. It identifies reinforcing and balancing feedback loops, latency delays, and high-use intervention points.
When to Use
- Complex System Architecture: Distributed systems, microservices, organizational dynamics.
- Unintended Consequences: Preventing fixes that create bigger downstream problems.
Execution Workflow
- System Boundary Definition: Identify key components, inputs, and outputs of the system.
- Feedback Loop Mapping:
- Reinforcing Loops ($R$): Exponential growth or compounding effects.
- Balancing Loops ($B$): Stabilizing or equilibrium-seeking loops.
- Identify Delays: Locate time lags between actions and system responses.
- Find High-use Points: Identify small changes that produce fundamental system improvements.
Expected Output Contract
### Systems Analysis
- **System Components**: [Key Entities]
- **Feedback Loops**:
- `Loop 1 (R)`: [Compounding loop description]
- `Loop 2 (B)`: [Stabilizing loop description]
- **System Delays**: [Latency points]
- **use Point**: [Recommended intervention point]
Scripts
scripts/systems_thinking.py- Deterministic evaluation, state validation, and CLI tool for systems-thinking.