Why does optimization log fail?

The most common reason optimization log fails: Logging only successes. The most valuable entries in an optimization log are the changes that did nothing or made things worse — they constrain the search space for your next attempt. If your log reads like a highlight reel, you are curating, not documenting. Curation feels good. Documentation generates learning.

The fix: Pick one system you're currently optimizing — a workflow, a habit, a communication pattern. Create a simple log with four columns: Date, Change Made, Rationale, and Observed Result. For the next seven days, log every deliberate change. At the end of the week, review the log and answer: Which changes had the largest effect? Which rationales were wrong? What would you try next based on this record?

The underlying principle is straightforward: Record what you changed, why, and what happened — optimization without documentation is gambling.