Google is famous for its relentless A/B testing, a technique for making constant incremental improvements by testing one small change against the previous version to see which is more successful. You can apply this model to your own work habits too. I call it A/Me testing.
Don't change everything at once. Introducing too many risk factors into a successful project or system is dangerous. They key to optimization is making incremental tweaks in a controlled and measurable way that allows you to revert if needed. I explain how in this week's episode.