Skip to main content

Identifying Patterns

A single mood entry tells you how you felt on one day. Patterns tell you something deeper — what tends to lift you, what wears you down, and how your emotional life connects to sleep, habits, and the rest of what you track. Here's how to use Terra's Mood section to find those patterns.

The Mood Trends tab gives you the full picture of your emotional history.

Stats strip​

At the top you'll see four numbers at a glance:

  • Days logged — how many entries you have
  • Average mood — your mean rating across all time
  • Current streak — consecutive days logged without a gap
  • Positive days — percentage of days rated Flowing or above

Year in Pixels​

The heatmap shows every day of the current year as a small colored square. Darker squares are higher moods; gray squares are days with no entry. Scroll left to move through the year — the current week is centered by default.

This view is useful for spotting seasonal patterns (do you tend to feel better in certain months?) and long gaps (extended gray stretches you might want to fill in).

Tap any square to open that day's entry.

Mood Distribution​

A bar chart showing how often each of the five mood states appears in your history, with percentages. If Shadowed or Reflective shows up far more than you expected, that's worth noticing.

Monthly Average​

A bar chart of your average mood rating per month. Use this to spot months that were consistently harder or consistently better — not just single bad days.

Emotional Trend​

A line chart of your last 90 entries showing two things: your daily mood (thin line) and a 7-day moving average (thicker line). The moving average smooths out the noise so you can see whether your overall trajectory is rising, falling, or flat.

Sleep Analysis tab​

The Sleep Analysis tab shows how your rest connects to how you feel.

Sleep & Mood correlation chart​

A 30-day chart that overlays sleep duration (as bars) with your daily mood (as a line). Look for days where short sleep preceded a dip in mood — or where you felt surprisingly good despite a rough night.

Sleep Schedule​

A visual timeline of your last 14 nights showing when you went to bed and when you woke up. Bar color indicates duration: green means 7+ hours, orange is 6–7, red is under 6. Use this to see if your schedule is consistent or scattered.

Sleep stats​

Averages for duration, quality rating, and a consistency percentage that measures how regular your sleep schedule is.

Wellbeing Guide tab (AI analysis)​

The Wellbeing Guide uses the last 7 days of your mood entries to generate a personalized analysis. Tap Scan Landscape to run it.

The analysis includes:

  • Holistic Landscape — a plain-language summary of your recent emotional patterns
  • Detailed Analysis — a deeper breakdown of what the data suggests
  • Pathways Forward — specific suggestions based on your patterns

The analysis is cached for 7 days. You can regenerate it anytime by tapping the refresh button, but it's most useful after you've logged consistently for at least a week.

Note: The AI analysis is most meaningful when you have at least 5–7 entries in the last week. Sparse data leads to generic output.

Common questions​

Why does my average mood feel lower than expected? Averages pull toward the middle. If you log frequently during hard stretches and less during good ones, the average will skew low. Consistent daily logging gives you the most accurate average.

My streak reset — did I lose my data? No. Your streak is just a count of consecutive days. All your past entries are still there and still used in every chart and analysis.

The AI suggestions feel generic. What can I do? Add reflections to your entries. The AI analysis draws on the text you write, not just the numeric rating. Even a sentence or two gives it much more to work with.

Should I track sleep every day to use the correlation chart? You don't have to, but the more sleep data you have, the more meaningful the correlation becomes. Even logging sleep a few times a week is enough to start seeing patterns.