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Developer Productivity

Is your AI investment actually making engineers faster?

Traditional dev productivity metrics break when AI enters the workflow. Scout gives engineering leaders the framework, data, and AI analyst to answer the questions that matter.

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AI Impact Dashboard with throughput, innovation rate, code quality, and ROI metrics

Traditional metrics no longer tell the truth

PRs Merged ≠ Productivity

When AI generates 80% of a PR, counting PRs tells you nothing about real engineering output.

Lines of Code ≠ Output

AI produces 10x more lines. But are they features, or boilerplate that gets reverted in 30 days?

Cycle Time ≠ Speed

Code ships faster through CI, but review queues are 2.3x longer. The bottleneck just moved.

You need metrics designed for how software is actually built today.

5 Pillars of AI-Native Developer Productivity

No single metric tells the truth. These pillars work together as guardrails and check metrics.

  • AI Adoption

    Are teams using AI tools?

    66% WAU

    AI Impact Dashboard browser view showing adoption and team usage metrics

  • AI Code Share

    What % of code is AI-generated?

    58%

  • Velocity

    Complexity-adjusted throughput

    16.6 pts

  • Quality

    Is AI code durable or disposable?

    15% turnover

  • Cost & ROI

    Is the investment paying off?

    4.8x ROI

Innovation rate chart showing feature versus KTLO and bug work distribution

Innovation Rate

Are your engineers building new features — or drowning in bug fixes and infrastructure? Track what your team actually ships, not just how much.

AI-Powered Analyst

Don’t just look at dashboards. Ask Scout AI to investigate hypotheses, correlate metrics, and surface what’s really happening.

Scout AI analyst checking velocity trends and correlating AI adoption
Developer experience survey capturing weekly time saved from AI tools

Developer Experience Surveys

Telemetry shows what. Surveys reveal why. Benchmarked surveys capture time savings, barriers, AI fluency, and satisfaction.

Built for every role in engineering

VP Engineering / CTO

Justify AI investment to the board with hard ROI numbers, not anecdotes.

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Engineering Managers

Know which teams thrive with AI and which need support — before they tell you.

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Individual Contributors

See your own productivity patterns. Find which tools work best for your stack.

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How does your team compare?

Industry benchmarks for the AI era. Book a demo to see how your org compares.

Industry benchmark table comparing AI usage, code turnover, ROI, and throughput

Trusted by AI-forward enterprises

AI is reshaping your workforce.
Are you measuring what’s changing?

Start with a discovery call. We’ll show you how Larridin gives you complete visibility into your AI transformation in minutes, not months.

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