A comprehensive guide to measuring the return on investment for Claude Code implementation in your development organization.
This repository contains a complete walkthrough for setting up telemetry, measuring costs 5F01 , tracking productivity, and calculating ROI for Claude Code usage. Whether you're an individual developer or managing a large engineering team, this guide provides the tools and metrics needed to make data-driven decisions about AI coding assistance.
- Telemetry Setup: Complete Prometheus and OpenTelemetry configuration
- Cost Analysis: Real usage patterns and pricing breakdowns across different plans
- Productivity Metrics: Key indicators for measuring developer efficiency
- ROI Calculations: Framework for calculating return on investment
- Automated Reporting: Integration with Linear for comprehensive productivity reports
- Cost Metrics: Total spend, cost per session, cost by model
- Token Usage: Input/output tokens, cache efficiency
- Productivity: PR count, commit frequency, session duration
- Team Analytics: Usage by developer, adoption rates
claude_code_roi_full.md- Complete implementation guideprometheus-config/- Docker Compose setup for metrics collectionsample-report-output.md- Example automated reportstroubleshooting.md- Common issues and solutions
Read the complete guide in claude_code_roi_full.md for detailed setup instructions, real-world examples, and actionable insights for your organization.
This guide is based on real-world implementation experience. If you have additional insights or improvements, please feel free to create an issue / PR.