July 21, 2025

Engineering Efforts with Investment Categories

New Feature

Investment Categories provides a data-driven view of how engineering time is spent. The feature leverages AI to automatically classify work items like pull requests and tickets into key development areas. This eliminates manual tagging and provides the clarity needed to align engineering efforts with strategic goals.

• Automatic AI Categorization: An AI engine automatically labels all engineering activities from integrated tools like GitHub and Jira, removing the need for manual tagging.
• Key Investment Areas: Track effort distribution across essential categories: New Features, Feature Enhancements, Bug Fixes, Tech Debt, KTLO (Keeping The Lights On), and Developer Productivity.
• Actionable Insights for Managers: Provides managers with the data needed to adjust priorities, optimize resource allocation, and facilitate strategic discussions on team velocity.
• Strategic Oversight for Leaders: Offers a holistic, organizational view of investments for leadership to assess strategic alignment and drive high-level decision-making.