Mood patterns

Moods have rhythms most people never quite see, because living inside a week doesn't give you much distance from it. Mood patterns takes your check-ins and lays them out by weekday and time of day, so shapes that are invisible day-to-day — Sunday evenings, the first hour after you wake up, a specific weekday that's consistently rough — become visible.

What it actually is

Every mood check-in carries two things beyond the rating itself: when it happened, down to the day of the week and roughly what time. This insight groups your ratings along those two axes and looks for consistent differences — a lower average on Mondays, a dip that shows up most evenings, a weekday that's reliably better than the rest. It also watches the recent trend line for a sustained downward slope, distinct from the ordinary noise of a bad day here and there.

How it's computed

This part is closer to plain averaging than AI inference: your check-ins are bucketed by weekday and by time-of-day band, and each bucket's average is compared to your overall average. A pattern only surfaces once there's enough check-ins in a bucket to say something beyond chance — a single bad Tuesday doesn't make Tuesdays your worst day. For the trend line, the check-ins from roughly the past couple of weeks are compared to your longer-run baseline; a gap that holds for several check-ins in a row, not just one, is what triggers a note on your dashboard.

When you log a check-in, you can optionally tag what may have contributed to it — sleep, social time, work stress, or physical symptoms. The app then computes your average mood for each tag, letting you see which of these factors correlate most with your ratings. Like the weekday and time-of-day breakdowns, these correlations are calculated directly from your data, not inferred by an AI.

Streaks

As a side note: your check-in activity itself is tracked as a streak — consecutive days with at least one mood check-in. When you hit key milestones (3, 7, 14, and 30+ days), the app quietly surfaces this in the chat greeting as a gentle acknowledgment of the habit forming. Streaks are reflection tooling, not a goal or commitment; if a streak breaks, there's no pressure — starting fresh is part of using the app.

How to read it

Weekday and time-of-day patterns are usually the most actionable part of this feature — if evenings are consistently harder, that's specific and schedulable in a way "I've been stressed lately" isn't. Use them to ask a concrete question: what's actually happening around that time, and is there something small worth changing about it.

If your dashboard shows a note about a sustained dip, it's phrased deliberately as a nudge, not an alarm: something like your check-ins have trended lower over the past couple of weeks — this might be a good time to consider reaching out for support, whether that's a friend, a therapist, or anyone else in your corner. It's not a clinical alert, and it isn't trying to diagnose anything happening to you. It's the app noticing what a friend might notice if they saw the same numbers, and saying so.

Alongside these, the app occasionally surfaces a short validating note when it detects a pattern that's both well-supported in your own data and commonly reported by others — like a Sunday-evening dip, the Monday blues, or a link between sleep quality and mood. These notes are pre-written, never AI-generated, and phrased as a simple grounded reminder: you're not alone in this. They're meant to normalize what you're already seeing in your own numbers, not to diagnose or predict anything beyond that.

What it can't tell you

None of this knows what's actually causing a pattern. A rough Monday average might be a genuine weekly stressor, or it might be three coincidentally bad Mondays in a row — the feature can't tell those apart, and it won't pretend to. It also can't see anything outside the check-ins themselves, so a hard stretch you haven't been logging just won't show up here at all. If you're noticing something concerning about your own mood — whether or not the dashboard has caught up to it yet — that's worth acting on directly rather than waiting for a nudge to appear.