Rootly | Your On-Call Team Is Burning Out: Here's How to See It Coming

Why It Matters

It gives engineering leaders concrete visibility into hidden on‑call stress, enabling proactive staffing and cultural shifts that reduce burnout and improve service reliability.

Key Takeaways

• On‑Call Health tracks incident volume, severity, and after‑hours pages.
• Self‑reported check‑ins add personal wellbeing data to risk score.
• Risk score trends reveal overload before static thresholds trigger alerts.
• Leaders can use data for rotation changes and resource planning.
• Open‑source, free tool integrates with PagerDuty, Slack, GitHub, Jira.

Pulse Analysis

On‑call rotations have long been a silent source of fatigue for Site Reliability Engineers and developers, yet most organizations lack quantitative signals to gauge the strain. Traditional metrics focus on incident counts or mean time to resolution, ignoring the cumulative effect of after‑hours alerts, prolonged incident streaks, and personal stress levels. Without clear data, teams normalize excessive workloads, leading to higher turnover, reduced productivity, and compromised system reliability. A data‑driven approach is essential to transform anecdotal complaints into actionable insights.

On‑Call Health addresses this gap by pulling observable signals from existing tooling—PagerDuty alerts, Slack notifications, GitHub commits, Linear or Jira tickets—and optionally layering self‑reported wellbeing check‑ins modeled on ecological momentary assessment. These inputs feed a composite risk score that is tracked over time, highlighting deviations from an individual’s baseline rather than relying on static thresholds. Trend visualizations make it easy for managers to identify when a responder’s load is creeping upward, even if the absolute score remains below a generic danger level. Seamless integrations and a REST API allow the data to flow into internal dashboards or AI assistants, ensuring the insights fit naturally into existing workflows.

The practical impact for engineering leaders is immediate: data‑backed conversations during 1:1s, evidence‑based rotation adjustments, and the ability to justify headcount requests with concrete overload patterns. By making burnout risk visible, organizations foster a culture that values sustainable on‑call practices, reducing attrition and improving incident response quality. As an open‑source, Apache‑2.0 licensed project, On‑Call Health invites community contributions and offers a cost‑free path for any team to start measuring and mitigating on‑call fatigue.