Feedback Loops

Feedback loops help systems learn, adapt, and improve over time. They involve continuously gathering the output of a process and feeding it back as input to guide future actions. Positive feedback loops reinforce successful behaviours, while negative feedback loops help correct deviations and errors. For example, Agile retrospectives are part of a feedback loop where teams try to reflect and improve their processes after each sprint. Neural network training involves negative feedback loops — internal weights are adjusted by comparing predictions with correct answers from the training data. Recognising and designing effective feedback loops is key to building successful systems.