Engineering Output

What do Total Output, Output/week, Output/week/eng, and AI Output Share show in the Velocity tab, and how do they relate to other Velocity metrics?

What it shows

The Engineering Output card is the Velocity tab's top-line number, total complexity-adjusted output for the engineering org over the selected period, broken into Output/week (org total), Output/week/eng (per-person average), and AI Output Share (the percentage of that output that involved AI assistance). Together these four numbers answer the question boards and CFOs increasingly ask: is the engineering team producing more because of AI, and by how much?

Why it matters

Most AI productivity conversations in engineering rely on PR counts or deployment frequency, metrics that measure activity rather than value. Output per Engineer uses complexity-adjusted scoring so a team that ships harder work scores higher than a team that ships more trivial commits. AI Output Share answers whether AI is genuinely contributing to that total or running parallel to it without lifting the number. These two in combination cut through the noise faster than any single metric.

The Larridin angle

Larridin's complexity-adjusted framework, built on the Complexity-Adjusted Velocity (CAV) scoring model, means Output per Engineer cannot be inflated by volume alone. A team generating 200 AI-assisted PRs on easy tasks scores lower than a team generating 60 AI-assisted PRs on hard ones. That's the hype filter most engineering dashboards don't have.

Related Velocity Metrics

Common questions

What is the Engineering Output card in the Velocity tab?

The Engineering Output card displays the total complexity-adjusted output for the engineering organization over a selected period, including metrics like Output/week, Output/week/eng, and AI Output Share.

How does the complexity-adjusted scoring model work?

The complexity-adjusted scoring model ensures that engineering output is measured by the difficulty of tasks completed, not just the volume, giving higher scores to teams that tackle more challenging work.

What does AI Output Share indicate?

AI Output Share shows the percentage of engineering output that involved AI assistance, helping to determine if AI tools are genuinely contributing to increased productivity.

Why is Output per Engineer a valuable metric for the C-suite?

Output per Engineer provides a clear measure of productivity by considering complexity-adjusted output, allowing leaders to see the true impact of AI on engineering efficiency beyond mere activity metrics.