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What is Cockpit Analytics

Cockpit Analytics provides comprehensive insights into your engineering team’s performance through key metrics that measure productivity, code quality, and delivery efficiency. These metrics help you identify areas for improvement and track progress over time.

Monitor your team's performance with real-time analytics.

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Key Features

Real-time Updates

Data refreshes every 2 hours for up-to-date insights

Cloud Platform

Available exclusively on Kodus Cloud (not self-hosted)

AI-Powered

Intelligent analysis and automated metric calculation

Team Focused

Designed for engineering team collaboration and improvement

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Key Metrics Categories

Developer Productivity

Track deployment frequency, lead time for changes, and PR cycle times to measure delivery speed

Code Quality

Monitor bug ratios, PR sizes, and code review effectiveness to maintain high standards

AI Integration

Measure Kody suggestion implementation rates and AI-assisted productivity gains

Team Performance

Analyze team collaboration patterns and identify bottlenecks in the development process

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Why Analytics Matter

  • Data-Driven Decisions: Make informed decisions based on actual performance data
  • Continuous Improvement: Identify bottlenecks and areas for optimization
  • Team Accountability: Set clear goals and track progress transparently
  • Business Impact: Connect engineering metrics to business outcomes

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Getting Started with Analytics

  1. Choose Your Focus: Start with 2-3 key metrics that align with your team’s goals
  2. Set Baselines: Establish current performance levels to measure improvement
  3. Define Targets: Set realistic improvement goals based on industry benchmarks
  4. Monitor Progress: Regularly review metrics and adjust strategies as needed
  5. Team Engagement: Involve your team in understanding and improving metrics

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Best Practices

  • Context Matters: Consider your team size, project complexity, and business context
  • Continuous Monitoring: Don’t just measure once - track trends over time
  • Actionable Insights: Use metrics to drive specific improvement actions
  • Team Buy-in: Ensure the team understands why metrics matter and how to improve them
  • Balanced View: Don’t optimize for one metric at the expense of others