Most teams don’t lose track of one employee at a time — they lose track of dozens, a little at a time, until a pattern that was obvious in hindsight goes unnoticed for weeks. Anomaly Detection exists to catch those patterns while there’s still time to do something about them.
Four Patterns, Flagged Automatically
- No-activity streaks — ten or more consecutive weekdays with zero tracked activity
- Sudden hour drops — a day’s hours falling sharply below someone’s own personal average
- Erratic start times — a daily start time swinging widely across recent active days
- Unusual working hours — work logged unusually early or late relative to someone’s normal pattern
Every flag is ranked Critical, Warning, or Info, so a manager reviewing a team of twenty doesn’t have to treat every flag with the same urgency.
The goal isn’t to flag everything. It’s to flag the handful of things a manager watching twenty dashboards would otherwise miss.
Evidence, Not Verdicts
Every anomaly links directly to the employee’s real activity diary and profile — nothing is presented as a conclusion on its own. A flag is a prompt to look closer, backed by the actual data behind it, not an automated judgment about anyone’s performance.
Flags are ranked by severity and link straight to the underlying activity data. See Anomaly Detection →
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