Mastering Double-Loop Learning This research examines double-loop learning (DLL), a framework that requires organizations to move beyond fixing surface-level errors to challenging and altering the underlying assumptions that cause them. Despite its conceptual fame, the author argues that DLL is rarely practiced due to defensive reasoning, leadership gaps, and a failure to combine cognitive shifts with observable behavioral changes. The research identifies significant risks of ignoring this proce