Systems Thinking

Use this skill to understand how parts of a system interact and why behavior persists over time.

Method Notes

• Systems thinking focuses on relationships, feedback loops, delays, incentives, and patterns.
• It is useful when direct cause-and-effect explanations are too shallow.
• L0 diagnoses dynamic mechanisms and identifies evidence to validate; L1 also evaluates leverage points and stress-tests a proposed intervention. Neither level needs a complicated map for its own sake.
• Keep the system boundary explicit so the analysis stays usable.

Required Inputs

Collect or infer these inputs before execution:

• system or problem boundary
• actors, components, processes, or variables
• repeated pattern or outcome
• incentives, constraints, and feedback signals
• time horizon and behavior-over-time pattern
• time delays or unintended consequences
• evidence for relationship direction, loop logic, and expected trend

If an input is missing, mark it as missing, state the assumption used, and add a validation action.

When Not To Use

Do not use when the issue is a one-off decision with stable criteria. Use decision-matrix, deductive-reasoning, or risk-matrix instead.

Adjacent Methods

• five-whys-root-cause: one linear cause chain.
• fishbone-diagram: several operational cause categories.
• constraint-analysis: one binding bottleneck.

Step-by-Step Execution

Output Template

### 1. Level, Boundary, And Time
- Analysis level: L0 qualitative dynamic map / L1 decision stress test
- Problem / system:
- In scope:
- Out of scope:
- Time horizon:
- Behavior-over-time pattern:

### 2. Variables And Relationships
| From variable | Direction | To variable | Polarity (+/-/unknown) | Delay | Evidence / assumption |
|---|---|---|---|---|---|
|  | increases / decreases |  |  |  |  |

### 3. Feedback Loops
| Loop | Type | Mechanism | Dominant when | Evidence strength |
|---|---|---|---|---|
|  | reinforcing / balancing |  |  |  |

### 4. Incentives, Constraints, And Leverage
L0: describe incentives, constraints, and diagnostic mechanisms; leverage point and control owner may be N/A with a reason. L1: identify leverage points and control owners.
| Actor / rule | Incentive or constraint | Behavior created | Leverage point | Control owner |
|---|---|---|---|---|
|  |  |  |  |  |

### 5. Intervention Stress Test
L0: mark this section N/A because the selected scope is diagnosis only; do not select an intervention to fill the table. L1: complete the table for at least one proposed intervention.
| Intervention | Expected direction over time | Delay | Side effect / displacement | Low-regret adjustment |
|---|---|---|---|---|
|  |  |  |  |  |

### 6. Leading Signals And Model Revision
| Signal | Expected trend | Review date | Continue / adjust / stop threshold | Model assumption revised if |
|---|---|---|---|---|
|  |  |  |  |  |

Quality Gate

• State whether the output is L0 or L1; never imply L2 simulation, calibrated forecasting, or quantitative stock-and-flow modeling.
• Define the system boundary, excluded scope, time horizon, and behavior-over-time pattern.
• Give each material relationship a direction and polarity; mark unknown polarity rather than inventing it.
• Include at least one reinforcing or balancing loop only when the loop closes; a long cause list is not a system map.
• Mark delays, incentives, constraints, evidence strength, and assumptions.
• For L0: do not require intervention selection or stress testing. Provide an evidence-backed or explicitly hypothetical dynamic diagnosis, the unresolved relationships, and the next evidence-validation action with an owner and review date; explain why the intervention section is N/A.
• For L1: stress-test at least one intervention for side effects, problem displacement, and delayed response; define a lower-regret adjustment. An L1 output cannot claim completion by marking the intervention test N/A.
• Define leading signals, expected trend, decision threshold, and when the model should be revised.
• Use a simpler root-cause, constraint, or decision method when dynamic complexity is absent.