Feature
Find the conditions that keep repeating
Stats & patterns gathers repeated feeling words, times and tags from the check-ins saved on your phone. It answers a narrow question: which conditions keep producing the same feeling? The view reads your own entries back as counts and groupings. It does not rate your mood, progress or performance.
How stats & patterns works
Stats & patterns groups your saved feeling words with the conditions recorded beside them. Counts show which labels recur, while tags and times show what commonly surrounded those entries. The result is a descriptive view of your own history, not a general claim about what produces a feeling for everyone.
The conditions come from context and tags you chose during earlier check-ins. Leaving a field blank is valid, but it also means that condition cannot appear in the comparison later.
Groups the same feeling
Separate entries become a count for each feeling word you used. A word that appears several times is easier to notice when it sits in one group than when the entries are scattered through a history. The count reports what you logged during the selected view; it does not judge the feeling.
Keeps conditions beside it
Tags recorded with a feeling remain available for comparison. You can see whether the same place, person, activity, time or sleep description turns up around that word. A repeated pairing is a prompt to look closer, not an explanation of what caused the feeling.
Leaves the detail intact
A summary does not replace the check-ins behind it. The original feeling, intensity, tags and optional note still describe individual moments, so exceptions remain visible. One anxious entry after good sleep, for example, matters when several others carry a poor-sleep tag.
How to use stats & patterns
Reading a pattern takes four passes: select a feeling that recurs, compare its shared tags, check when the entries arrived, then return to their original detail. This order separates a visible grouping from an assumed cause. It also keeps unusual entries in view instead of forcing every moment into the same story.
A Feelings Wheel check-in supplies the feeling word first. Context is optional, so the stats stay honest about what was recorded rather than presenting an empty field as evidence.
Choose a repeated feeling
Begin with a feeling that appears more than once in your stats. Read the count as a description of the entries in view, not as a verdict about how often you should feel it. A single entry can still matter, but it cannot show a repeating condition by itself.
Compare its tags
Look for context labels shared by several entries with that feeling. Place, company, activity and sleep are useful only when you actually recorded them. Missing tags mean the record cannot answer that part of the question; the view does not fill gaps with a guess.
Check when it arrived
Compare the recorded times without turning one busy morning into a rule. A cluster can show that a feeling often appeared during a particular part of the day. Entries outside the cluster keep the pattern in proportion and stop "often" from being read as "always."
Read the entries again
Return to the notes and context behind a promising grouping. The same tag can mean different things in different moments, and the original words preserve that distinction. Keep the pattern when the entries support it; leave it tentative when the detail points in several directions.
What stats & patterns shows you
Four illustrative tiles show how a personal stats screen can read: a repeated feeling, a shared context, a time cluster and a nearby condition. Every value comes from the reader's own example check-ins. None is a score, benchmark, product metric or claim about other people.
Repeated feeling
Anxious · 4 entries
illustrative count from your own check-ins
Common context
Work · 3 of 4
illustrative tag pairing in those entries
Usual time
09:00 · 3 entries
illustrative time cluster from your history
Nearby condition
Poor sleep · 3 entries
illustrative tag, not a claimed cause
Stats & patterns vs. Entry-by-entry review
Grouped stats and an entry-by-entry review use the same saved check-ins differently. Grouping makes repeated words, tags and times easier to spot. Reading entries individually preserves sequence and nuance. Moving between both views lets a possible pattern stay connected to the moments it summarizes, including the entries that do not fit.
| What you can inspect | Stats & patterns | Entry-by-entry review |
|---|---|---|
| A feeling that recurs | Grouped under one word with its count | Noticed by scanning separate dates |
| Conditions around it | Shared tags can be counted together | Tags are compared one entry at a time |
| Time of day | Repeated times appear as a cluster | Each timestamp remains separate |
| Exceptions | Visible when the grouping is read alongside its entries | Visible in the original entry detail |
| The result | A descriptive pattern to examine | A sequence of individual moments |
Other features
Related reading
Questions about stats & patterns
How can I find patterns in my feelings?
Record a specific feeling and any relevant context at more than one moment, then look for combinations that recur. Start with the feeling word, compare shared tags and times, and read the original entries before drawing a conclusion. A repeated pairing is something to examine; it does not prove that one condition caused the feeling.
What should I track alongside a feeling?
Track only details that may help you tell moments apart, such as place, company, activity, time or sleep. Use the same tag when the same condition returns, and add a note when the label would hide an important difference. More fields do not automatically make a clearer pattern.
How long should I track feelings before looking for patterns?
There is no fixed number of days or entries that makes a pattern true. You can review the stats whenever you want, but treat a small count as a starting point rather than a conclusion. More relevant check-ins can show whether the pairing repeats, changes or was specific to one stretch of time.
Do emotion tracker stats score my mood?
No. The tiles count and group what you recorded: feeling words, tags and times. They do not assign a grade, rank one feeling above another or measure progress. A larger count means that label appeared in more of the entries being viewed, not that the feeling is better, worse or more important.
Can a recurring tag explain why I feel something?
A recurring tag shows an association inside your own records, not a cause. "Work" appearing beside several anxious entries tells you those items were logged together. Reading their notes may reveal meaningful differences or exceptions. The stats keep the pairing visible while leaving the explanation open.
Start with one check-in
Thirty seconds, once a day. In two weeks you have a map of what actually moves you — and it works offline.