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Inside Aura mood tracking: two numbers, one timeline, real patterns

Ten seconds a day: a mood number, an energy number, optionally a word of context. That is the entire input contract of Aura mood tracking — everything else is what the app builds from the pile. This is the tour: what each entry contains, how the timeline and trends read it back to you, what the AI correlation layer adds, what good logging looks like, and the lines the feature will never cross. No hype, just the mechanism.

2026-09-23
5 min

What exactly am I logging each day?

Two numbers and an optional word. Mood (how positive or negative the day feels, 1-10) and energy (how activated or drained, 1-10) are separate axes on purpose: anxious-but-wired and sad-but-calm are different states with different remedies, and a single "how are you" score collapsides them. The optional context — one tag or word like work, sleep, people — is what later makes correlation possible. Entries take seconds by design: the feature's accuracy comes from daily comparability across months, not from rich single entries. Log at roughly the same time daily, ideally evening when the day is complete.

What does the app show me back?

Three views over the same data. The history is the raw diary: every entry, scrollable, with context tags. The trend view smooths entries into lines so the baseline slope is visible — this is where a slow two-month decline stops hiding behind noisy days. The AI insights layer then cross-references: mood against habit completions, sleep, journal tone and weekday, surfacing repeats like the short-night crash or the fixed weekday dip. Nothing here is magic; it is the same record-keeping a meticulous spreadsheet keeper would do, automated and plotted.

How should I log to get useful patterns?

Four rules. Same time daily — comparability beats detail. Full scale — living between 5 and 7 flattens the trend into noise, so use the ends honestly. One context word minimum — untagged moods cannot correlate with anything. No backfilling — memory of mood is biased toward recent intensity, and backfilled days import exactly the bias the log exists to remove. Give it four weeks before judging: below that you are reading weather, not climate. Premium adds longer history and deeper AI reads, but the free tier holds the complete core loop.

What will Aura never do with my mood data?

Three hard lines. Never diagnose: the app shows correlations and trends, and any clinical-sounding label would be overreach — persistently low mood belongs with a professional, and the app says so. Never sell or share: entries are encrypted, excluded from any training or advertising use, with working export and deletion as required for health-adjacent data. Never nag punitively about gaps: a missed day is a gap in the chart, not a broken streak to mourn — the feature wants your honesty, including the days you skip.

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Reviewed by Team AURA

This article has been verified by our editorial team to ensure accuracy and adherence to our quality policies.

FAQ

Is Aura mood tracking free?

Yes. Daily mood and energy check-ins, history and trend views are free. Premium adds longer history and deeper AI insight reads.

Why two numbers instead of one?

Mood and energy are independent axes: anxious-but-wired needs different handling than sad-but-calm. One score hides exactly the distinction that guides what to do.

How long until I see patterns?

Around four weeks of near-daily logging. The AI correlation layer needs that much to separate repeats from noise.

Can I export or delete my mood history?

Yes, both, at any time. Mood data is encrypted and never sold or used for advertising.

Does it integrate with habits and journal?

Yes — that is the point. Insights correlate mood with completions, sleep and journal tone, so each record illuminates the others.

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