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Burnout prevention

On-Call Health

Open-source tool to detect engineering burnout and manage unsustainable on-call workloads.

Source rating 5.0 (70) 1.4k views 1.4k/mo traffic 0 saves Unknown
Burnout prevention On-call management Engineering Health
More categories (4)
open-source Developer experience Incident response SRE Tools
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Verdict

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Open-source tool to detect engineering burnout and manage unsustainable on-call workloads
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Open-source tool to detect engineering burnout and manage unsustainable on-call workloads

Overview

On-Call Health is a free, open-source tool designed to monitor and manage the mental health and workload of on-call engineers. Developed by Rootly, it pulls data from various platforms like Rootly, PagerDuty, GitHub, Linear, and Jira to detect signs of unsustainable workloads and burnout. The tool combines objective technical signals with subjective sentiment surveys collected via Slack to calculate individual risk scores. This allows engineering managers to intervene early by rebalancing rotations or pausing non-urgent work before engineers reach a point of exhaustion.

On-Call Health screenshot

Access & connections

Where you can use On-Call Health, and what it plugs into.

Platforms

Web

Integrations

GitHub Linear Slack Jira

Capabilities

What this tool accepts, produces, and is strongest at.

Highlights

  • Multi-tool signal integration (PagerDuty, GitHub, Jira, etc.)
  • Automated sentiment collection via Slack surveys
  • Individualized risk scoring system (0-100)
  • AI-powered trend analysis and summaries
  • Team and individual health baselines
  • Open-source (Apache 2.0 license)

FAQ 5

What is On-Call Health?
On-Call Health is a free, open-source tool designed to monitor and manage the mental health and workload of on-call engineers. Developed by Rootly, it pulls data from various platforms like Rootly, PagerDuty, GitHub, Linear, and Jira to detect signs of unsustainable workloads and burnout. The tool combines objective technical signals with subjective sentiment surveys collected via Slack to calculate individual risk scores. This allows engineering managers to intervene early by rebalancing rotations or pausing non-urgent work before engineers reach a point of exhaustion.
How to use On-Call Health?
To use On-Call Health, connect it to your incident data sources like PagerDuty or Rootly, and integrate tools like Linear and GitHub for workload signals. Set up the Slack integration to collect periodic sentiment surveys. The platform will then calculate individual risk scores (0-100) and provide AI-generated summaries to help you identify which team members need intervention.
What tools can I connect to On-Call Health?
You can connect Rootly, PagerDuty, GitHub, Linear, Jira, and Slack to pull workload and sentiment signals.
How does the risk score work?
The tool computes scores from 0-100: 0-24 is 'Maintain balance', 25-49 is 'Monitor risk', 50-74 is 'Early intervention', and 75-100 is 'Immediate action'.
Is the tool free?
Yes, it is an open-source tool licensed under the Apache License 2.0.
On-Call Health
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