On-call work is demanding, and exhaustion directly impacts incident response quality, retention, and overall team health. Engineering leaders often lack visibility into when their teams are being stretched too far until it’s too late. Rootly’s On-Call Health changes that by giving you evidence-based insights into engineer well-being.
Connect your incident data, GitHub activity, and Slack communication to detect early signs of burnout. By analyzing response patterns, workload pressure, after-hours activity, and sentiment, On-Call Health highlights teams and individuals at risk—so you can intervene early with data-driven changes to workload distribution and on-call rotations.
This means you can:
- Quantify burnout risk with a validated framework.
- Proactively rebalance rotations before exhaustion impacts reliability.
- Back decisions with concrete data, not just gut feel.
.avif)
How it works
- Connect your tools: Integrates with Rootly and other incident management tools, GitHub, and Slack for the most complete picture.
- Analyze patterns: Looks at incident workload, after-hours activity, escalation frequency, response times, and communication sentiment.
- Adapt to your environment: Works with whatever data sources you have available to give the most accurate assessment possible.
- Generate interventions: Produces Risk-Based Recommendations so you know whether to rotate schedules, adjust workload, or offer recovery time.
Getting started
- Hosted version: Sign up at oncallhealth.ai for a fully managed experience.
- Open source version: Self-host and customize via Rootly-AI-Labs on GitHub.
- MCP Server integration: Connect directly with Rootly’s MCP Server for seamless data ingestion.
This release is about more than efficiency—it’s about safeguarding the people behind your incident response. With early warning signs, Rootly helps you keep your teams healthy, sustainable, and ready for the long run.