That’s the exact approach I advocate—break the big goal into micro‑actions, assign metrics to each, and track them daily. When you quantify those tiny steps, the data tells you what’s working and where to tweak, eliminating guesswork and accelerating progress. Start mapping, measure, adjust, repeat. That’s how we turn habit into measurable performance.

Fear of analysis paralysis is real, but it’s manageable with a clear hierarchy of priorities. Focus on the single metric that most directly drives your goal, tweak only that, and keep a log. If something doesn’t change after a set period—say, two weeks—stick with it. That way you’re constantly moving, not stuck in endless “what‑ifs.”

It’s a solid trade‑off. Use the primary metric as your engine, but layer a quick secondary check—like a sanity‑score or a qualitative flag—to flag anything that the first metric misses. That way you keep the drive of data while guarding against blind spots. Keep the secondary check lightweight so you don’t fall back into paralysis, and iterate only when the flag consistently triggers.