The Reinforcing Feedback Loop Model illustrates how certain system behaviors amplify themselves over time. In many systems, the results produced by an action influence future actions in ways that strengthen the original pattern. When this occurs, the system enters a reinforcing loop where change builds upon itself.
Unlike balancing systems that stabilize behavior, reinforcing systems accelerate it. Small changes can grow into large outcomes because each cycle of the loop increases the conditions that support the next cycle.
The diagram shows how an initial action produces system change, which generates measurable results. Those results produce feedback signals that influence future decisions, encouraging further actions that reinforce the original direction of change.
Initial Action
Every reinforcing loop begins with an initial action.
This action represents the starting point of the cycle. It may be a decision, an intervention, a change in behavior, or a new strategy introduced into the system. 
By identifying the signals and decision points that drive reinforcing behavior, system designers can guide how amplification unfolds.
Reinforcing loops demonstrate that systems do not simply change linearly. Under the right structural conditions, change can compound and reshape the entire system over time.
