What does it mean that build measurement into your processes?

If you cannot measure an outcome you cannot build a feedback loop around it.

Example: A software team ships features for six months but tracks only deployment count — not user adoption, error rates, or latency. They have motion without feedback. When they finally instrument their application with metrics, logging, and tracing, they discover that 40% of their shipped features are unused and two endpoints are silently failing. The act of measuring transformed a blind process into a self-correcting one.

Try this: Pick one process you run regularly — a weekly review, a writing habit, a fitness routine, a team standup. Identify three things you could measure about it: one input metric (effort or time invested), one output metric (what it produces), and one quality metric (how good the output is). Write these down. For the next seven days, record all three after each session. At the end of the week, look at the data. You now have a feedback surface that did not exist before.