Focus session logger — measure your deep work
Tracking how long you work tells only half the story; tracking how well you focused tells the rest. This logger lets you record each block of deep work with its duration and a quick quality rating, then shows your running totals — so you can spot which tasks, times and conditions produce your sharpest concentration.
How it works
After a focus block, add a session with three details: what you worked on, how many minutes it lasted, and a 1-to-5 focus rating (shown as stars) for how deep and undistracted it felt. The tool keeps a list of all sessions and rolls up two figures: total focused time, found by summing the minutes of every session and showing the result in hours and minutes, and your average focus score, the mean of all the ratings. It pairs naturally with a Pomodoro or time-blocking routine — log each block as you finish it.
Example
Log three sessions in a morning:
| Task | Minutes | Focus |
|---|---|---|
| Write report | 50 | ★★★★☆ (4) |
| Email triage | 20 | ★★☆☆☆ (2) |
| Deep coding | 90 | ★★★★★ (5) |
Total focused time = 50 + 20 + 90 = 160 minutes (2 h 40 m), and the average focus score = (4 + 2 + 5) ÷ 3 ≈ 3.7 / 5 — quickly flagging email triage as the weak spot.
Why quality rating alongside time matters
Researchers who study knowledge-work productivity draw a sharp distinction between hours spent at a desk and hours of genuinely focused cognitive effort. Two people logging identical clock-hours can differ dramatically in what they actually produce, based on how deep their concentration was during those hours. Logging a focus quality score captures this dimension.
Over a week of logging, patterns emerge that clock-time alone would hide:
- Time-of-day patterns. Most people have a biological peak focus window, often in the morning, followed by an afternoon dip. If your average focus score drops after 2 pm, that is a signal to schedule low-cognitive work (email, admin) in that window and protect the morning for demanding tasks.
- Task-type patterns. Creative and analytical tasks often get high scores when done in isolation; collaborative or reactive tasks tend to score lower because interruptions are built in. Seeing this in the log makes it easier to argue for protected time blocks.
- Distraction triggers. If you notice that sessions with certain tools open (social feeds, chat apps) consistently get lower scores, you have empirical evidence to justify turning them off during focus time — rather than relying on willpower rules.
Fitting it into a productivity system
The logger works alongside most common systems without imposing its own structure.
With Pomodoro: log each completed 25-minute Pomodoro as a session. Rate it 1–5 after the bell. The running total shows how many Pomodoros you have actually completed with strong focus, which is a more useful metric than just “how many I started.”
With time blocking: log each scheduled deep-work block as you complete it. The end-of-day total gives you a concrete count of focused hours — useful for accountability or for understanding why some days feel unproductive despite being “busy.”
With no fixed system: log sessions organically when a focus block ends. The goal is not strict adherence to a method but building a lightweight record of your actual attention over the day.
This is a private, browser-only notebook for your attention: nothing is uploaded, and the log clears when you close the tab.