Stop on-call burnout
before it starts.
An open source, research-based tool that looks for early-warning signs of burnout in your on-call engineers.
Get started with the burnout detector, it's free.
An open source, research-based tool that looks for early-warning signs of burnout in your on-call engineers.
Get started with the burnout detector, it's free.
Based on scientifically validated burnout research methodology.
Research shows a majority of on-call burnout risk can be predicted from incident history. Refine accuracy by connecting more tools.
The burnout detector calculates individual risk scores using our On-Call Burnout (OCB) score.
Make the burnout detector part of your powered workflow by getting the results via a UI, CLI, or MCP.
Our analysis combines workload pressure, after-hours activity, response time patterns, and communication sentiment to give a holistic view of burnout risk.
The system adapts to the tools you connect, delivering the most accurate insights possible.

On-call engineers and SREs face a disproportionate risk of burnout. At Rootly, we want to help change that.
That’s why we built this as open source, in the open, for the community.
Spearheaded by Rootly AI Labs fellows Spencer Cheng and Sylvain Kalache, the project continues to evolve with contributions from engineers like you. Share feedback, file issues, or contribute code on GitHub—and help shape the future of burnout detection.

The Rootly Burnout Detector is open source, giving you full flexibility. Use the hosted web version for instant setup, or customize it to fit your workflow.
That’s why we built this as open source, in the open, for the community.
Skip the UI and pull results directly into your CLI via MCP, or fork the code to support niche use cases. That’s the power of open source, adapt it to your team, your way.
