On-Call Health

On-Call Health is an open source tool designed to identify and prevent burnout among on-call engineers before it becomes a serious problem. Built by Rootly AI Labs, it analyzes signals from incident management, ticketing, code repositories, and communication platforms to compute individual risk scores and help teams take proactive action to protect their engineers.

The platform connects to multiple data sources to build a comprehensive picture of on-call workload and stress indicators. It uses AI to analyze trends and provide actionable insights, making it easier for engineering leaders to make informed decisions about team health.

• Multi-Source Signal Integration connects with Rootly or PagerDuty for incident data, Linear for ticket workload, GitHub for after-hours activity signals, and Slack for communication patterns and context to build a complete picture of engineer workload.

• Sentiment Collection periodically sends short, low-friction surveys via Slack so responders can share how they're doing, designed to reduce stigma while gathering valuable feedback.

• Individual Risk Scoring computes personalized risk scores from 0-100 across four categories: Maintain balance (0-24), Monitor risk (25-49), Early intervention (50-74), and Immediate action (75-100).

• AI-Powered Analysis identifies what changed and what's driving risk factors, enabling better informed decisions to protect engineers before risk becomes burnout.

• Trend Detection uses team and individual-specific baselines to track trends over time rather than relying on fixed thresholds or comparing people to each other.

• AI Summaries help stakeholders quickly get up to speed on trends, turning weekly incident reviews into conversations about both systems and the people behind them.

To get started, sign in with Google or GitHub on the On-Call Health website. Connect your incident management platform (Rootly or PagerDuty), then add additional integrations like Linear, GitHub, and Slack for richer signal collection. The tool will begin computing risk scores and surfacing insights to help you spot overload before it spirals into burnout.