Single loop learning involves detecting and correcting errors by implementing existing policies, while double loop learning questions underlying policies and objectives. Double loop learning challenges incongruities between espoused and actual objectives. It requires being open yet not controlling, advocating confrontation of views, and managing uncertainty. For organizations to avoid trouble, top management must lead the way in developing the capacity for double loop learning, which does not inhibit single loop learning.