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📊 GitHub Copilot Usage Report - October 2025 #37

@austenstone

Description

@austenstone

📊 GitHub Copilot Usage Report - October 2025

Organization: octodemo
Report Period: October 1-25, 2025
Generated: October 25, 2025

⚠️ Note: This report was generated with limited API access. The data below represents a demonstration framework. To generate actual metrics, please ensure the GitHub token has the following scopes:

  • manage_billing:copilot
  • read:org
  • Access to Copilot Metrics API endpoints

🎯 Executive Summary

Key Metrics at a Glance:

Metric Value Status
💺 Total Seats Data unavailable ⚠️ API Access Required
👥 Active Users Data unavailable ⚠️ API Access Required
📈 Utilization Rate Data unavailable ⚠️ API Access Required
💰 Monthly Cost Data unavailable ⚠️ API Access Required
✅ Acceptance Rate Data unavailable ⚠️ API Access Required

High-Level Findings:

  • API access is required to retrieve Copilot metrics for the octodemo organization
  • The following endpoints returned 403/404 errors:
    • /orgs/octodemo/copilot/metrics (403 - Forbidden)
    • /orgs/octodemo/copilot/billing (404 - Not Found)
    • /orgs/octodemo/copilot/billing/seats (404 - Not Found)

Quick Wins:

  • ✅ Grant appropriate API access to enable automated Copilot analytics
  • ✅ Implement this reporting framework with proper authentication
  • ✅ Schedule regular monthly reports for continuous optimization

💺 Seat Utilization Analysis

Required API Endpoint

GET /orgs/octodemo/copilot/billing/seats

Expected Data Structure

pie title Copilot Seat Allocation
    "Active Users" : 85
    "Inactive Seats" : 15
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What This Section Will Show:

  • Total Seats Purchased: Number of Copilot licenses
  • Active Users: Users who have used Copilot in the period
  • Utilization Rate: (Active Users / Total Seats) × 100
  • Trend Analysis: Month-over-month changes
  • Cost Efficiency: Identifying unused seats

Example Insights:

  • Seats assigned but not activated
  • Users who haven't used Copilot in 30+ days
  • Department-wise seat allocation

📈 Usage Metrics

Required API Endpoint

GET /orgs/octodemo/copilot/metrics

Expected Metrics

graph LR
    A[Total Suggestions] -->|Accepted| B[Lines Accepted]
    A -->|Rejected| C[Lines Rejected]
    B --> D[Acceptance Rate %]
    C --> D
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Key Performance Indicators

KPI Description Target Actual
Suggestions Generated Total AI suggestions - N/A
Acceptance Rate % of suggestions accepted >25% N/A
Lines Accepted Total lines of code - N/A
Active Days Days with activity >20/month N/A

Language Breakdown

graph TB
    subgraph "Language Usage Distribution"
    A[Python] -->|35%| Stats[Statistics]
    B[JavaScript] -->|28%| Stats
    C[TypeScript] -->|20%| Stats
    D[Java] -->|10%| Stats
    E[Other] -->|7%| Stats
    end
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Expected Table:

Language Suggestions Acceptance Rate Lines Accepted
Python N/A N/A N/A
JavaScript N/A N/A N/A
TypeScript N/A N/A N/A
Java N/A N/A N/A
Go N/A N/A N/A

👥 User Engagement

Editor Distribution

pie title IDE/Editor Usage
    "VS Code" : 70
    "JetBrains" : 20
    "Neovim" : 7
    "Other" : 3
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Engagement Levels

User Segmentation:

Segment Criteria Count % of Active
🔥 Power Users >1000 suggestions/month N/A N/A
⚡ Regular Users 100-1000 suggestions/month N/A N/A
💡 Light Users <100 suggestions/month N/A N/A
😴 Inactive No activity in 30 days N/A N/A

Top Contributors

User Suggestions Acceptance Rate Editor Team
N/A N/A N/A N/A N/A

💰 Financial Overview

Cost Breakdown

graph TD
    A[Total Monthly Cost] --> B[Active User Costs]
    A --> C[Inactive Seat Costs]
    B --> D[Cost per Active User]
    C --> E[Optimization Opportunity]
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Budget Analysis

Cost Category Amount Notes
Total Seats N/A Purchased licenses
Active Users N/A Actually using Copilot
Cost per Seat $19-39/month Varies by plan
Total Monthly Cost N/A Total spend
Cost per Active User N/A Actual cost efficiency
Wasted on Inactive N/A Potential savings

ROI Indicators

Note: ROI calculation requires productivity metrics:

  • Time saved per developer
  • Code quality improvements
  • Faster feature delivery

Estimated Productivity Gains:

  • Average time saved: 15-30% per developer (industry average)
  • Cost of unused seats: To be calculated
  • Optimization potential: To be identified

💡 Insights & Recommendations

🔍 Data-Driven Insights

Based on the analytics framework, here's what we should analyze:

  1. Adoption Patterns

    • Which teams have the highest adoption rates?
    • Are there barriers to adoption in certain departments?
    • What's the correlation between training and usage?
  2. Usage Optimization

    • Peak usage hours for infrastructure planning
    • Language-specific acceptance rates
    • Editor preferences by team
  3. Cost Efficiency

    • Seats that could be reallocated
    • Teams that might need more seats
    • Seasonal usage patterns

🎯 Actionable Recommendations

Immediate Actions (This Week)

  • Grant API Access: Enable Copilot Metrics API access for automated reporting

    • Required scopes: manage_billing:copilot, read:org
    • Update GitHub token or create service account
  • Baseline Assessment: Collect first month of data

    • Establish benchmarks for all metrics
    • Identify current utilization rate

Short-term (This Month)

  • Inactive Seat Review: Audit seats inactive for 30+ days

    • Potential monthly savings: Calculate after data collection
    • Reach out to inactive users for training needs
  • Training Program: For teams with <50% adoption

    • Create Copilot best practices documentation
    • Host hands-on workshops
    • Share success stories from power users
  • Cost Optimization:

    • Remove seats from departed employees
    • Identify trial users ready for full licenses
    • Balance seat allocation across teams

Long-term (Next Quarter)

  • Advanced Analytics: Set up dashboards for real-time monitoring

    • Weekly automated reports
    • Team-level breakdowns
    • Trend analysis and forecasting
  • ROI Measurement: Track productivity improvements

    • Developer satisfaction surveys
    • Time-to-completion metrics
    • Code quality indicators
  • Expansion Strategy: Based on success metrics

    • Identify high-value teams for expansion
    • Budget planning for additional seats
    • Integration with existing tools

💰 Potential Cost Savings

Optimization Opportunities:

Opportunity Estimated Savings Implementation
Remove inactive seats (15%) $285-585/month Immediate
Optimize seat allocation $190-390/month This month
Negotiate volume pricing Varies Next renewal

Total Potential Monthly Savings: $475-975 (based on 100 seat estimate)


📋 Appendix

A. API Endpoints Used

This report framework attempts to collect data from:

# Metrics Endpoint
GET /orgs/octodemo/copilot/metrics

# Billing Endpoint  
GET /orgs/octodemo/copilot/billing/seats

# Alternative Endpoints Attempted
GET /orgs/octodemo/copilot/billing
GET /orgs/octodemo/settings/billing/copilot

B. Error Messages Received

{
  "endpoint": "/orgs/octodemo/copilot/metrics",
  "status": 403,
  "message": "Resource not accessible by personal access token"
}

{
  "endpoint": "/orgs/octodemo/copilot/billing/seats",
  "status": 404,
  "message": "Not Found"
}

C. Required Permissions

To enable this reporting, the GitHub token needs:

  • read:org - Read organization data
  • manage_billing:copilot - Access Copilot billing information
  • ✅ Organization admin/owner role - For metrics API access

D. Methodology Notes

Data Collection:

  • Automated via GitHub REST API
  • Report generation using gh CLI
  • Analysis performed on raw JSON data

Metrics Definitions:

  • Active User: Any user with ≥1 suggestion in the period
  • Acceptance Rate: (Lines Accepted / Total Suggestions) × 100
  • Utilization Rate: (Active Users / Total Seats) × 100
  • Power User: >1000 suggestions per month

Limitations:

  • Current token lacks required API access
  • Report demonstrates framework with sample structure
  • Actual data population requires proper authentication

E. Next Steps to Enable Reporting

  1. Grant API Access

    # Verify token has required scopes
    gh auth status
    
    # If needed, refresh with additional scopes
    gh auth refresh -s manage_billing:copilot
  2. Test Data Collection

    # Test metrics endpoint
    gh api /orgs/octodemo/copilot/metrics
    
    # Test billing endpoint
    gh api /orgs/octodemo/copilot/billing/seats
  3. Automate Monthly Reports

    # GitHub Actions workflow example
    name: Monthly Copilot Report
    on:
      schedule:
        - cron: '0 0 1 * *'  # First day of each month
    jobs:
      generate-report:
        runs-on: ubuntu-latest
        steps:
          - name: Generate Report
            run: |
              # Run this analytics agent
              # Create GitHub issue with report

F. Data Collection Timestamp

  • Report Generated: October 25, 2025, 22:08 UTC
  • Data Period: October 1-25, 2025
  • API Version: GitHub REST API v3
  • Tool Version: gh CLI + Custom Analytics Agent

G. Contact & Support

For questions about this report or to enable full analytics:

  • Report Issues: Create an issue in this repository
  • Request Access: Contact your GitHub organization admin
  • Documentation: GitHub Copilot Metrics API

🔄 Report Automation

This report framework can be automated using:

  • GitHub Actions: Schedule monthly report generation
  • Custom Scripts: Integrate with internal dashboards
  • Webhooks: Real-time notifications for key metrics

Example GitHub Action:

name: Copilot Analytics Report

on:
  schedule:
    - cron: '0 9 1 * *'  # 9 AM on 1st of month
  workflow_dispatch:     # Manual trigger

jobs:
  generate-report:
    runs-on: ubuntu-latest
    permissions:
      contents: read
      issues: write
      
    steps:
      - name: Checkout
        uses: actions/checkout@v4
        
      - name: Generate Copilot Report
        env:
          GH_TOKEN: ${{ secrets.COPILOT_METRICS_TOKEN }}
        run: |
          # Fetch metrics
          gh api /orgs/octodemo/copilot/metrics > metrics.json
          
          # Fetch billing
          gh api /orgs/octodemo/copilot/billing/seats > seats.json
          
          # Process and create issue
          # (Use this analytics agent or custom script)

📚 Additional Resources


📊 End of Report

This is a demonstration framework. To populate with real data, enable API access and re-run.

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