You do more than ship code.
We track that.
Cocollabs leverages AI to uncover and measure the full scope of vital contributions including code reviews, debugging, and collaboration.
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Cocollabs uses advanced AI to identify, quantify, and attribute work that traditional metrics miss
Unaccounted Work Detection
Our AI parses and summarizes activity in GitHub issues, PR comments, and Slack to detect meaningful work outside of code commits.
Slack & GitHub Analysis
Identifies when engineers coordinate and resolve issues in communication channels
Mentorship Detection
Recognizes when engineers are providing guidance and support to team members
Confidence Scoring
AI scores findings on a confidence scale and attributes them to engineers' impact profiles
Production Issue Resolution
Sarah coordinated and resolved a critical production issue in Slack
Slack: #production-alertsMentorship Activity
Alex provided detailed guidance to new team members on architecture
GitHub: Pull Request #342 comments