The process involves establishing a feedback mechanism where the results of an action or intervention are measured, analyzed, and then used to inform and adjust subsequent actions. This iterative approach emphasizes continuous improvement based on observed outcomes. For example, in a manufacturing context, quality control measures are implemented. Data on defective products are gathered and analyzed. This analysis then informs changes to the production process to reduce future defects, thereby refining the initial process based on the results.
Such a mechanism is important because it promotes efficiency and effectiveness. By actively monitoring results and adapting strategies accordingly, organizations can avoid perpetuating errors and enhance their performance over time. Historically, such cyclical approaches have been foundational to scientific method and engineering practices, where hypothesis testing and design iteration are crucial for progress and innovation.