Marketplace/HR & Talent/Burnout Prediction
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Burnout Prediction

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Early burnout-risk signals for HR from anonymised work patterns — meeting overload, after-hours creep, weekend work — without reading a single message.

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What it does

Workplace burnout costs an estimated $1 trillion a year, and HR usually finds out last. This agent gives you early risk signals from aggregate work-pattern METADATA only — meeting density, calendar overload, after-hours creep, weekend work, daily span — ingested from Google Calendar (read-only) or CSV exports. It never reads message or event content. People are stored under pseudonymous keys, team summaries respect a k-anonymity minimum, and the 0–100 score is deterministic with explicit drivers — not a black box. Signals are indicators, not diagnoses: built for supportive conversations, not surveillance.

Key outcomes

Weekly burnout-risk bands (low/moderate/elevated/high) per pseudonymous person
Team risk distribution and 4-week trends — suppressed for groups below your k-anonymity minimum
Explicit drivers per score: meeting load, after-hours, weekends, daily span, trend
Early-warning escalations ('N people newly high this week') to your Operations Manager

Who it's for

HR & people teams that want early signals without invading privacy
Team leads running chronically overloaded calendars
Companies that tried survey tools and want passive, continuous signals instead

Use cases

Early warning
A sustained rise in meeting load + after-hours work moves someone's band before they hand in notice — schedule the supportive conversation early.
Team health trend
Watch the band distribution shift week over week after a reorg, launch, or crunch period.
Workload evidence
Bring drivers (28 meeting-hours, 6 after-hours events/week) to capacity discussions instead of anecdotes.
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$99/month
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