Pillar

How to start tracking your life

Most self-trackers quit by week three. The reason is rarely the science of tracking, it's the setup. Too many metrics, too elaborate a tool, too ambitious an analysis schedule. Here's the opinionated minimum-viable version: the Pulse 7 metric set, the 60-second daily ritual, and the rules that keep the habit alive past month one.

By Maxim Klee

The Pulse 7

Seven metrics is the right ceiling. Below five and the chain has holes; above ten and the daily logging burden breaks the habit. The Pulse 7, ranked by ROI:

  1. Sleep duration, the upstream driver of everything.
  2. Mood, one tap, end of day.
  3. Focus minutes, total deep-work time in blocks of 25+ minutes.
  4. Tasks completed, count, not points or hours.
  5. Mistakes logged, explicit, even small ones; spaced repetition surfaces them later.
  6. Energy, 1-5 self-rating, end of day.
  7. Heart rate variability (if you have a wearable), the proxy for nervous-system recovery.

Each can be logged in seconds. Total time: about 60 seconds at end of day, less if a wearable provides sleep and HRV automatically.

Why most self-trackers quit at week three

The pattern repeats across blogs, Reddit threads, and Quantified Self community posts. The failure modes:

  1. Metric overload. Twelve metrics on day one. Each takes a few seconds; cumulatively the daily ritual hits five minutes; the habit doesn't survive a busy week.
  2. Tool overload. A spreadsheet here, a habit app there, a sleep tracker on the wrist. Three places to look. Three places to maintain. Three places to fall behind on.
  3. Premature analysis. Computing correlations on day five. The result is noise. The user concludes tracking "isn't working" and quits. Two more weeks would have given real signal.
  4. The system becomes the project. Polishing the spreadsheet, optimizing the tool, configuring the dashboard, none of which is the data the system was supposed to collect.

The 60-second daily ritual

  1. End of day, before bed, open the tracker.
  2. Sleep duration: pull from wearable or estimate to the nearest half hour.
  3. Sleep quality (this morning): 1-5.
  4. Mood: 1-5, end-of-day reading.
  5. Focus minutes: estimate.
  6. Tasks completed: count.
  7. Mistakes: log any explicit one with a sentence.
  8. Energy: 1-5.
  9. Close the app.

That's the entire ritual. No journaling. No reflection prompts. No optimization. The reflection is what the system produces from the data; the user's job is just the inputs.

Brief history (so you know the lineage)

The Quantified Self movement started around 2007 with Kevin Kelly and Gary Wolf at Wired. The original community was small, technical, and focused on n-of-1 self-experiments, formal hypotheses, controlled single-subject studies, the works.

Modern life tracking is the casual version. You're not running a controlled experiment; you're collecting inputs to inform daily decisions. The science is real (the Walker, Huberman, and Wood references in the related reading are solid), but the goal is action, not publication. Don't aim for QS rigor on day one. Aim for the daily habit that lasts past week three.

Frequently asked questions

What's the simplest way to start tracking my life?

Pick five metrics, log them once a day, and don't touch the system for two weeks. Five is small enough to keep, two weeks is long enough to see signal, and not touching the setup prevents the configure-not-do trap that kills most attempts.

Why do most self-trackers quit?

Three reasons. They start with too many metrics, eight or ten that all look interesting on day one, and the daily logging burden breaks within a fortnight. They analyze too early, looking at noise, calling it insight, getting disappointed. And they treat the spreadsheet as the goal, the system becomes the project, not the inputs to action.

Should I use a spreadsheet or an app?

An app removes the spreadsheet step, which is exactly the friction that kills tracking habits in week three. Spreadsheets reward configuration; an opinionated app skips configuration. Use a spreadsheet only if the manual data-entry friction is something you genuinely enjoy.

What's the difference between QS, biohacking, and life tracking?

Quantified Self (Wolf, Kelly) is the original community focused on n-of-1 self-experiments. Biohacking is the more recent label, often associated with performance optimization. Life tracking is the broadest version, capturing daily inputs to inform decisions, not necessarily to optimize. They overlap; the labels matter less than what you do with the data.

What if I miss a day?

Skip it. Don't backfill from memory, the data is unreliable and the habit-recovery cost is high. The tracking habit is more important than the dataset's completeness. A 90% completion rate over a year is more valuable than a perfect month followed by abandonment.

Track the Pulse 7 in one place

PulsOne ships with the Pulse 7 built in. Free to start. 60-second daily ritual.

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