Empirical Process Control

Empirical process control is a method used to manage and improve processes based on what is observed and experienced. Instead of relying solely on pre-set plans or predictions, it focuses on real data gathered from actual performance. This approach encourages continuous learning and adaptation, allowing teams to adjust their strategies based on results. It's commonly used in fields like software development and manufacturing, where feedback and iterative improvements help to refine processes and achieve better outcomes over time. Essentially, it prioritizes practical experience over theoretical assumptions.