Data-driven report cards, narrative summaries, and recognition messages generated automatically from engineering activity data.
Performance conversations work best when they are based on real work data rather than memory or visibility bias. The AI Summaries feature automatically gathers activity data from development tools and turns it into structured, fair, and constructive performance insights.
Managers spend less time gathering data and more time having meaningful conversations with their teams.
Automatically generates individual performance reports using activity data such as tasks, bugs, commits, pull requests, and reviews.
Transforms development activity data into clear, human-readable stories that explain contributions over time.
Generates ready-to-send feedback and recognition messages for Microsoft Teams or other collaboration tools.
Prepare performance reviews and 1:1 conversations with clear data-backed insights.
Ensure performance reviews across the organization are consistent and evidence-based.
Understand how their contributions are measured and discussed using transparent data.
Receive high-level narratives about engineering productivity and contributions.
Managers generate report cards for each direct report before monthly 1:1 meetings.
Managers send personalized recognition messages based on real contributions.
Executives receive summarized narratives of engineering activities each month.
Ensures reviews are based on full-period activity data instead of recency bias.
Every manager receives reports based on the same data structure and process.
Feedback reflects the entire work period rather than recent activity.
Managers spend less time collecting data and writing summaries.
Strengths and improvements are clearly tied to real evidence.
The system generates reports for large teams without increasing manual effort.