💻Claude Code Dashboard

Measure AI adoption, developer productivity, and subscription ROI for Claude Code across your engineering team.

The Claude Code Dashboard helps engineering leaders understand how their team is adopting AI-assisted development. Track usage patterns, identify productivity opportunities, and ensure your Claude Code subscriptions are delivering value—all from a single view designed for measuring AI adoption at scale.

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Overview

You've invested in Claude Code subscriptions for your team. But are developers actually using it? Who's getting the most value? Are there adoption gaps you should address?

The Claude Code Dashboard answers these questions:

• Who's using Claude Code? See adoption rates across your team

• How deeply are they using it? Measure session frequency, duration, and complexity

• Where is AI making an impact? Understand which workflows benefit most

• Are we getting value from our subscriptions? Benchmark usage against subscription costs

Unlike usage-based AI services, Claude Code is typically a fixed subscription cost. The goal isn't minimizing usage—it's maximizing adoption and ensuring your team gets full value from the investment.

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Dashboard Views

Adoption Overview

Monitor how AI-assisted development is spreading across your organization:

• Active Users: Count of developers using Claude Code in the selected period

• Adoption Rate: Percentage of licensed users who are actively using the tool

• New Users: Developers who started using Claude Code recently

• Usage Frequency: How often each developer engages with Claude Code

Spot adoption gaps early. If certain teams or individuals aren't using their subscriptions, you can provide training, share best practices, or reallocate licenses.

Usage Patterns

Understand how your team works with Claude Code:

• Sessions per User: Average number of Claude Code conversations per developer

• Session Depth: Token consumption as a proxy for conversation complexity

• Peak Activity Times: When does your team rely on AI assistance most?

• Workflow Distribution: Code generation, debugging, code review, documentation, etc.

These patterns help you understand where AI is adding the most value and identify opportunities to expand usage to other workflows.

User Leaderboard

See which developers are getting the most from their Claude Code subscriptions:

• Top Users by Sessions: Most active Claude Code users

• Top Users by Tokens: Developers with the deepest AI-assisted workflows

• Usage Trends: Individual adoption trajectories over time

• Team Comparisons: Compare adoption across teams or departments

High usage often correlates with productivity gains. Consider pairing power users with teammates who are still ramping up on AI-assisted development.

Model Usage

Track which Claude models your team uses:

• Model Distribution: Sonnet vs Opus vs Haiku usage breakdown

• Model by Workflow: Which models are used for which types of tasks

• Model Trends: How model preferences evolve over time

This helps you understand whether your team is using the right models for their tasks and can inform decisions about which model tiers to include in subscriptions.

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Measuring Subscription Value

Are We Getting ROI?

For fixed-cost subscriptions, the value equation is simple: more usage = better ROI.

The dashboard helps you calculate value by showing:

• Cost per Active User: Subscription cost divided by developers actually using the tool

• Usage Intensity: Tokens and sessions per subscription dollar

• Adoption Trajectory: Is usage growing, flat, or declining?

If half your licensed users never open Claude Code, you're paying double the effective per-user cost. The dashboard surfaces these gaps so you can address them.

Identifying Underutilization

Watch for warning signs:

• Zero-session users: Licensed developers with no activity

• Declining usage: Users whose engagement is dropping off

• Shallow sessions: Very low token counts may indicate limited adoption

These signals help you target training, share success stories, or right-size your license count.

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Key Metrics

Metric	Description
Active Users	Developers who used Claude Code in the selected period
Adoption Rate	Active users as a percentage of total licensed users
Total Sessions	Number of Claude Code conversations across all users
Sessions/User	Average sessions per active developer
Total Tokens	Combined input and output tokens processed
Tokens/Session	Average conversation depth

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Getting Started

Prerequisites

To use the Claude Code Dashboard, you need:

1. Revenium SDK Integration: Your Claude Code usage must be metered through Revenium's SDK

2. User Identification: Configure your integration to pass user identifiers for attribution

3. Session Tracking: Enable session-level tracking for conversation analytics

Connecting Claude Code

Install the Revenium Claude Code metering package:

npm install @revenium/claude-code-metering

Package documentation: @revenium/claude-code-metering on npm

The package integrates with Claude Code to automatically capture usage telemetry and send it to Revenium for analysis. See the npm package README for configuration options and setup instructions.

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Filtering and Analysis

Time Range Options

• Last 24 hours

• Last 7 days

• Last 30 days

• Last 90 days

• Last 6 months

• Last 12 months

• Custom date range

Filter Dimensions

Slice Claude Code data by:

• User: Individual developers or teams

• Team/Department: Compare adoption across groups

• Model: Specific Claude model versions

• Project: If project metadata is passed via SDK

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Best Practices

Track Adoption, Not Just Usage

Focus on metrics that indicate healthy adoption:

• Is the number of active users growing?

• Are new hires onboarding with Claude Code?

• Are power users emerging across different teams?

Share Success Stories

When you identify power users:

• Learn what workflows they're using Claude Code for

• Share their techniques with the broader team

• Consider having them lead internal AI adoption sessions

Right-Size Your Licenses

Use the dashboard to inform licensing decisions:

• If adoption is low, invest in training before buying more seats

• If everyone is active and hitting limits, consider expanding

• Reallocate unused licenses to teams showing interest

Set Adoption Goals

Combine the dashboard with Cost & Performance Alerts to:

• Get notified when adoption drops below target thresholds

• Alert when new users haven't engaged within their first week

• Track progress toward team-wide adoption goals

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Summary

The Claude Code Dashboard shifts the conversation from "how much are we spending?" to "are we getting value from our investment?" By measuring adoption, usage depth, and user engagement, engineering leaders can ensure their Claude Code subscriptions translate into real productivity gains—and identify opportunities to help more developers benefit from AI-assisted development.