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Mood Tracking

Mood Tracking That Makes Team
Wellbeing Visible Every Day

Daily emoji-based mood logs per team member, plus aggregate analytics with 30-day trends an early signal of burnout before it hits velocity.

Mood Tracking
How it works

From a daily emoji tap to an org wide burnout signal in four steps

TARO makes mood logging frictionless, one tap a day, and aggregates it into team-wellbeing data.

1

Log

Five moods. One tap. Thirty seconds to log and go.

Each morning, every member sees a mood check-in prompt, a gentle nudge on the dashboard, not a popup. Five options map to five levels: Great, Good, Okay, Low, Rough. One tap logs the day, with an optional note.

2

Trend

Your personal 30 day trend shows patterns you might not notice daily.

Each member's personal view shows a 30-day rolling chart of their own moods, making gradual drift visible. Visible only to them, and with opt-in, their direct manager.

3

Analyse

Aggregate mood signals reveal what individuals never mention.

Managers and org admins see an aggregated, anonymised view of team mood, the distribution of entries and a 30-day trend line for the average. Burnout signals fire when mood drops below a set threshold.

4

Privacy

Managers see trends. Never individual entries.

Mood tracking only works if members trust a bad day won't be used against them. TARO enforces this structurally, not by policy: managers and admins access anonymised aggregate data only. Histories stay private.

Why Mood Tracking

Six reasons teams never go back

Velocity drops are lagging indicators. Mood trends lead. By the time burnout hits the sprint, it's been in the data for weeks.

Mood is a leading indicator velocity is a lagging one

Mood is a leading indicator velocity is a lagging one

When a team's average mood drops below Okay for a week, the velocity drop that follows is predictable. TARO surfaces it 10 to 14 days early.

One tap removes the friction that kills daily habits

One tap removes the friction that kills daily habits

A five-minute survey nobody completes generates no data. A single emoji tap takes two seconds. Lower friction means higher participation.

Privacy architecture builds the trust that makes logging honest

Privacy architecture builds the trust that makes logging honest

Members log honestly when they trust the data won't be used against them. Anonymisation is structural, managers cannot access individual entries.

Burnout signal integrates with Risk Alerts Dashboard

Burnout signal integrates with Risk Alerts Dashboard

When aggregate mood drops below the burnout threshold for three consecutive days, TARO fires a Monitor-severity alert in the Risk Alerts Dashboard.

30 day view reveals drift individuals don't notice day by day

30 day view reveals drift individuals don't notice day by day

Burnout rarely announces itself. It accumulates gradually, a week of Okay, then Low, then Rough. The 30-day chart makes the slope visible.

Optional notes give context without making logging feel like a report

Optional notes give context without making logging feel like a report

The note field is genuinely optional, logging an emoji with no note is the default. Notes are for members who want context, not for managers.

Who uses it
Deepak MehrotraDeepak MehrotraDeepak MehrotraDeepak Mehrotra

800+ product teams

already using TARO

Built for every lead managing
humans through sustained delivery pressure

Engineering leads running multi month delivery programmes and HR leads managing distributed teams need the same thing: an early signal that something is wrong with team wellbeing before it shows up as attrition or a missed sprint.

5

Mood levels tracked

30

Day trend window

0

Individual entries managers can see

14

Days earlier than velocity

Engineering Leads

The sprint retrospective says the team felt overwhelmed. Mood tracking said so on day 3.

Leads read the 30-day mood trend alongside the burndown. When delivery is on track but mood is declining, next sprint won't be sustainable. The fix happens on day 5.

More from TARO

Mood shows the human signal. These features show the delivery signal.

Mood trends read best alongside sprint velocity, workload, and risk alerts, the full picture.

Risk Alerts Dashboard

Burnout signals from mood tracking feed directly into the Risk Alerts Dashboard as Monitor-severity alerts, as visible as blocked tasks.

Workload Distribution

When mood declines track one member's workload staying above capacity, Workload Distribution surfaces the reassignments that relieve it.

Sprint & Agile

Sprint planning that uses velocity data and mood trends together makes sustainable commitments not just achievable ones that quietly erode team health.

Analytics & Dashboards

The Team Mood widget shows the live distribution and 7-day aggregate trend in one panel a persistent wellbeing view for leads alongside delivery metrics.

Common Questions

Everything you need to know about Mood Tracking

Common questions from engineering leads, HR teams, and members evaluating TARO's mood tracking.

No, and this is enforced at the API level, not just the UI. The endpoint serving manager and org admin mood analytics returns only aggregated, anonymised data: the distribution of mood levels for the window and the aggregate trend score. No endpoint returns individual member entries to a manager. The only person who can retrieve their own mood history is the one who logged it. Notes stay private unless shared.
The burnout signal has two trigger conditions, either of which fires a Monitor-severity alert in the Risk Alerts Dashboard. First, a sustained decline: the team's daily average mood falls below 2.5 of 5 ("Okay") for three or more consecutive days. Second, a single-day concentration: 40% or more of logging members report Low or Rough on the same day. Both thresholds are configurable per workspace. It names no individuals.
Missing entries are excluded from calculations, not counted as a default value. If a member doesn't log on a day, that day doesn't contribute to their personal trend or the team aggregate, it's treated as absent, not a neutral Okay. So aggregates reflect only the members who participated that day. The participation rate is itself a visible metric in the mood panel, a team where only 40% log has a weaker signal.
Each mood maps to a numeric score: Rough 1, Low 2, Okay 3, Good 4, Great 5. The daily team score is the arithmetic mean of all logged scores that day. The 30-day trend line plots the daily team mean; the personal trend plots the individual's daily score. For aggregate analytics, TARO also calculates a 7-day rolling average and a 30-day moving average, the 7-day figure is the primary burnout signal.
Yes, org admins can configure mood tracking as opt-in rather than opt-out for the workspace. In opt-in mode, the check-in prompt is hidden by default and each member must enable it from profile settings to begin logging and appearing in aggregates. In opt-out mode (the default), the prompt appears for all members and any member can disable it to stop logging and leave aggregates immediately. Opt-out works in both modes.
Any aggregate mood view, distribution chart, trend line, or team summary, requires at least 5 active logging members to display. Below that, the chart is blurred and an "Insufficient data, fewer than 5 members logging" message shows. This prevents reverse identification in small teams: if only 3 people are logging and the distribution shows 67% Rough, a manager could infer who feels rough even without individual data.
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