Hi, I agree with your view. And over a couple of years of (failed) scheduling/optimizing techniques, I learned a thing or two that I would like to share. The approach OP used in her article is undoubtedly, a great way of looking at your footprints. I used to do a similar (revising over time) thing, but looking back on how much time i "wasted" and how little i was "productive", was not worth the effort. Over time, I've changed and perfected (well, kind of) this approach to a new way.

The New Way* I divide my day in 3 sections. The first one, Morning Drill, from a set wakeup time (it really helps) until breakfast. I comprises things like regular morning routine, say exercise, freshening up, etc. It give me a good start into the day. I prefer not to do anything "productive/work-related" in the morning. Next, I take up my todo list for the day (i manage is using Todoist), understand my priorities and think of a general direction of the day, is it going to be a work-day or a fun-day?. I'm strict about my list, but not so much that I would not talk to anyone till i'm finished. I like to play it cool. The third section, i've finished all i had planned today, so i can do anything i want, read a book, go out with friends, and other cool stuff. This kind of summarises a day.

> All of us live at least partially on autopilot, so bad habits tend to sneak up and stay unnoticed. I love keeping notes, and reading old notes and revising your day, really helps for such a thing.

Results of new approach: When I go to bed, I sleep sound realizing the day wasn't a complete mess as opposed to drooling over "I've not been productive enough".

All in all, this was a wonderful article with beautiful insights and a magnificent approach of data science in daily life.

Conclusion: "The more you focus on productivity, the less you make it."

PS. I have been following *this approach for over 5 months now, and I've never been better.