Detect team burnout with Groq AI analysis of GitHub activity for wellness reports
AI & ML DevOps

Detect team burnout with Groq AI analysis of GitHub activity for wellness reports

Team Wellness - AI Burnout Detector Agent devex github 🎯 Demo Demo sample report github action code alternative output output outputHow it works 🎯...

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About This Workflow

What This Workflow Does

This workflow uses Groq AI to analyze GitHub activity and detect team burnout, providing valuable insights for wellness reports. It automates the process of monitoring team performance and identifies potential burnout indicators, enabling data-driven decisions to improve team well-being. The workflow generates a sample report as output.

Who Should Use This

This workflow is ideal for developers, team leads, and business owners who want to proactively monitor team burnout and maintain a healthy work environment. It can be particularly useful for tech companies, software development teams, and organizations with remote workers.

Key Features

  • Analyzes GitHub activity to identify potential burnout indicators
  • Uses Groq AI for AI-driven insights and analysis
  • Generates sample reports for team wellness tracking
  • Integrates with GitHub for seamless data collection
  • Can be customized to fit specific team needs and workflows

How to Get Started

To use this workflow, import it into your n8n instance and customize the settings to match your team's GitHub repository and workflow. This will enable you to monitor team burnout and generate reports to improve team well-being.

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