Productivity

I Tracked Every Hour of My Time for 30 Days

For 30 days I logged what I did with every hour. Found out that I was wrong about almost everything I thought I was spending time on. Here are the patterns and what I changed.

On this page 11 sections
  1. 1 The setup
  2. 2 What I expected to find
  3. 3 What I actually found
  4. 4 The leisure shock
  5. 5 The work shock
  6. 6 What changed because of the data
  7. 7 What I learned about time perception
  8. 8 What I learned about tracking
  9. 9 Common time-tracking mistakes
  10. 10 This is not advice
  11. 11 The takeaway

I had a vague sense that I was busy. The list of things I had not gotten done kept growing. The hours kept disappearing. I figured I should actually find out where they were going.

For 30 days I tracked every hour of my time. Wrote it down in a notebook every couple hours. Categorized weekly. Here is what I found.

The setup

Rules:

  • Track every hour, awake or asleep, for 30 days
  • Categorize each hour into one of 8 categories: sleep, work, food, exercise, social, household, leisure, transit
  • Add a "what specifically" note for each block
  • Aggregate weekly to look at patterns

Time blocks were typically 30-60 minutes. I checked in roughly every 2 hours and back-filled what I had been doing.

What I expected to find

Going in, I expected the breakdown to look something like:

  • Sleep: 50 hours/week
  • Work: 50 hours/week
  • Food/cooking: 10 hours/week
  • Exercise: 5 hours/week
  • Household: 8 hours/week
  • Social: 8 hours/week
  • Leisure: 25 hours/week
  • Transit/transitions: 12 hours/week

Total: 168 hours (the actual number of hours in a week).

What I actually found

The data showed something different. Average week across the 30 days:

  • Sleep: 53 hours/week (about right)
  • Work: 38 hours/week (less than I thought)
  • Food/cooking: 12 hours/week (close to expected)
  • Exercise: 3 hours/week (less than expected)
  • Household: 6 hours/week (less than expected)
  • Social: 5 hours/week (less than expected)
  • Leisure: 41 hours/week (FAR more than expected)
  • Transit/transitions: 10 hours/week (about right)

Total: 168 hours.

The leisure shock

The biggest surprise was leisure. I had been telling myself I "did not have time" for various things. The data showed I had 41 hours per week of leisure time. That is almost 6 hours per day.

What was the leisure time, specifically? When I looked at the notes:

  • Streaming TV: 12 hours/week
  • Phone scrolling: 14 hours/week (this was the biggest shock)
  • Reading: 4 hours/week
  • Active hobbies: 3 hours/week
  • "Just sitting" / nothing: 8 hours/week

14 hours of phone scrolling per week. 2 hours per day. The phone was eating my life.

The work shock

I thought I was working 50+ hours per week. The data showed 38. Where was the other 12 hours I "thought" I was working?

When I looked at the notes:

  • Time at desk but not actually working: 6 hours/week
  • Meetings that did not require my attention: 4 hours/week
  • Email and Slack that should have been work but was administrative: 8 hours/week

The "work" category included a lot of work-adjacent activity that was not actually productive work. The actual productive output time was probably 25-30 hours/week.

What changed because of the data

Three changes I made based on what I found:

1. Phone restrictions. I added screen time limits to social media and news apps. Cut phone scrolling from 14 hours/week to about 6. Recovered 8 hours per week of life.

2. Better work boundaries. Started ending work at a defined time and not letting it expand. Counterintuitively, my actual output went UP because I was more focused during work hours.

3. Used the recovered time intentionally. The 8 hours I recovered from phone scrolling went to: more reading, more exercise, and one new hobby (cooking projects). Did not return to streaming TV, which I noticed I had been using as default rather than deliberate choice.

What I learned about time perception

The biggest meta-lesson was how wrong my intuition was about my own time. I thought I was overworked and time-starved. The data showed I had substantial leisure time that I was using on activities that did not produce meaning or rest.

Most people probably do not actually need more time. They need to use their existing time differently.

What I learned about tracking

A few meta-observations from doing this for 30 days:

1. The act of tracking changes behavior. Knowing I was about to write down "scrolled phone for 90 minutes" sometimes made me put the phone down. Hawthorne effect is real and can be useful.

2. 30 days is the minimum useful period. Patterns at one week are noise. At 30 days they are signal.

3. Detailed tracking is unsustainable long-term. I would not do this for a year. But periodically (every 12-18 months?) doing a 30-day audit reveals where things have drifted.

4. The categories matter. "Leisure" was too broad. The category that revealed the most was distinguishing intentional leisure (reading, hobbies) from default leisure (scrolling, mindless TV).

Common time-tracking mistakes

Things I would do differently if I started over:

  • Tracking too granularly. I tried 15-minute blocks the first day. Unsustainable. 30-60 minute blocks worked.
  • Tracking with apps. The notification overhead was worse than the tracking itself. Notebook worked better.
  • Trying to also optimize while tracking. Just track first. Optimize after you see the data.

This is not advice

You will not find the same patterns I did. Your time is your time. The point is the methodology — actually tracking, not estimating — reveals things intuition misses.

If you have the vague sense that you are too busy, try tracking a week. You will probably find something surprising.

The takeaway

Most "I am too busy" feelings are actually "I do not know where my time goes" feelings. Tracking reveals that most of us have meaningful slack in our schedules being used inefficiently.

Track for 30 days. Look at the data. Make one change. The compounding effect over a year is substantial.