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Enterprise AI Measurement Guide

Desktop Analytics

Active Users / DAU / Total Users

How many employees are using desktop AI tools, how many are active daily, and how do those counts compare?

Infographic showing desktop AI coding tools usage metrics, highlighting active users, daily active users (DAU), and total users, with a comparison to browser engagement levels.

What it shows

Three user counts for desktop-channel AI tool usage: Active Users (employees who used a desktop AI tool at least once in the period), DAU (Daily Active Users through the desktop agent), and Total Users (total measured workforce). Desktop DAU as a share of desktop Active Users is typically higher than the equivalent browser ratio, because desktop coding agents are installed specifically for deep, regular use rather than occasional access.

Why it matters

Desktop DAU is the engineering AI productivity metric that matters most for output measurement. Engineers who use Claude Code or Cursor daily are the engineers generating the AI-assisted code share, the agents running at scale, and the session-depth data in the Agent Effectiveness tab. For CTOs and engineering leaders, desktop DAU growth is the leading indicator that AI-native development practices are spreading through the team, and desktop DAU concentration (a small number of engineers accounting for most daily use) is the signal that power user patterns haven't yet been replicated across the team.

The Larridin angle

Larridin's desktop user counts connect directly to the Agent Effectiveness and Cost tab data, the engineers counted in desktop DAU are the same engineers whose session outcomes, cost per merged PR, and AI code share appear in the engineering performance tabs. That connection makes desktop DAU not just an adoption metric but the population denominator for the engineering AI ROI calculation.

Related Desktop Analytics Metrics

Common questions

What are the key metrics for desktop AI tool usage?

The key metrics are Active Users, Daily Active Users (DAU), and Total Users, which help measure the frequency and depth of AI tool usage in a desktop environment.

Why is desktop DAU important for engineering leaders?

Desktop DAU is crucial as it indicates the spread of AI-native development practices and helps measure AI-assisted productivity and output within engineering teams.

How does desktop DAU compare to browser DAU?

Desktop DAU as a share of Active Users is typically higher than browser DAU because desktop coding agents are used for more regular and intensive tasks.

How does Larridin connect desktop user counts to performance data?

Larridin links desktop DAU to session outcomes, cost per merged PR, and AI code share in the engineering performance tabs, making it essential for calculating AI ROI.

See how your organization measures up

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