Your Best Time of Day to Focus (ADHD)
Most ADHD brains have a window when focus actually shows up. Here's how to find your peak energy time of day and spend it on what matters most.
What is Peak Window?
Peak Window identifies the time of day when your energy is consistently highest. It looks at your check-in history across mornings, afternoons, and evenings and tells you which window gives you the most to work with.
This isn't about one good morning. It's the pattern across weeks of data.
Why it matters
Most people with ADHD know they have "better" and "worse" times of day, but the pattern is often vague. You might think you're a morning person until your data shows your afternoons are actually stronger.
Knowing your peak window lets you be strategic. ADHD productivity researcher Ari Tuckman puts it simply: "Don't spend gold on garbage." Your peak window is gold. Use it for the work that matters most.
How it works
Peak Window averages your energy readings across each time-of-day window (Morning, Afternoon, Evening) over your recent history. If one window is consistently higher than the others, that's your peak.
The signal shows you which window wins and by how much.
Reading your results
| Value | What it means |
|---|---|
| Morning / Afternoon / Evening | This is your consistently strongest window, with the average energy shown |
| No data | Not enough check-ins yet. Keep logging across all three windows |
What you can do
- Schedule demanding work in your peak window. If your peak is afternoons, don't waste that time on emails and meetings. Block it for the work that requires the most focus.
- Protect the window. Don't let it get eaten by interruptions, admin tasks, or other people's priorities.
- Use your off-peak windows for maintenance. Emails, routine tasks, and low-stakes conversations are fine when your energy is lower.
Sources
- Tuckman, A. (2009). More Attention, Less Deficit: Success Strategies for Adults with ADHD. Specialty Press.
- Castellanos, F.X., et al. (2011). "Intraindividual variability in ADHD and its implications for research of causal links." Current Topics in Behavioral Neurosciences. PubMed 21769722
