Why does feedback loop components fail?

The most common reason feedback loop components fails: Treating the loop as a one-time event instead of a continuous cycle. You evaluate once, adjust once, and then coast on the assumption that the adjustment worked. The loop only generates learning when it keeps running — when the adjustment itself becomes the next action that gets observed and evaluated.

The fix: Pick one habit, project, or process you are actively running. Map it onto the four-part loop: What action are you taking? What are you observing about the results? How are you evaluating whether it is working? What adjustment have you made (or failed to make) based on that evaluation? If any quadrant is empty, you have found a broken loop.

The underlying principle is straightforward: Action observation evaluation and adjustment form the basic feedback cycle.