Usage Analytics

Track how your team uses PlayerZero — monitor questions, simulations, workflow activity, and export usage data.

What Is Usage Analytics?

The Usage Analytics dashboard gives you visibility into how your organization uses PlayerZero. Track question volume, simulation activity, workflow throughput, and context creation — all in one place.

Access it from Settings → Analytics in the sidebar.

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Filtering

Use the controls at the top of the dashboard to narrow the data:

• Project — View data for all projects or select a specific project
• Date range — Choose a custom date range using the date picker

The dashboard updates automatically when you change filters.

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Dashboard Sections

Credits

Tracks credit consumption across your organization, broken down by category.

The Credits section is visible when your organization has a credit-based contract configured. If you don’t see it, contact your account representative.

• Credit consumption chart — Per-category breakdown (Player, Simulation, Monitor, WorldModel) displayed as a bar chart with daily, weekly, or monthly granularity
• Category table — Detailed credit usage per category with totals
• Contract card — Displays your current contract term, total credit allocation, and usage percentage
  • Usage below 90% displays in the default color
  • Usage at 90%+ displays in orange as a warning
  • Usage above 100% displays in red with an overflow indicator

Credit data supports the same project filter and date range controls as other dashboard sections. Credits can also be included in the CSV export.

Questions

Tracks AI Player questions asked across your organization.

• Total questions — Count for the selected period with trend comparison to the previous period
• Breakdown by category — Questions grouped by intent (debugging, code exploration, etc.)
• Breakdown by origin — Where questions came from (web app, IDE via MCP, Slack, etc.)
• Top users — Most active team members ranked by question count
• Breakdown by role — Questions grouped by team member job role

Simulations

Tracks code simulation activity.

• Total simulations — Count with pass rate and defects prevented
• Breakdown by scenario type — Simulations grouped by the type of scenario tested
• Breakdown by system layer — Simulations grouped by the system layer being tested

Workflows

Tracks workflow stage activity for the selected project.

Workflow data is only available when viewing a specific project — it does not aggregate across projects.

• Stage metrics table — Per-stage breakdown of issues processed, issues transitioned, questions asked, and simulations run
• Workflow graph — Visual representation of workflow activity overlaid on your stage graph

Toggle between table and graph views using the tabs.

Context

Tracks context created and used by AI agents.

• Artifacts — Documents and diagrams created and shared
• Memories — Knowledge entries created and recalled
• Lines of code — Code analyzed during investigations

Overall Stats

Summary cards showing key metrics at a glance:

• Active users — Unique users in the selected period (with role breakdown on hover)
• Player sessions — Total sessions created
• Repositories — Connected repositories
• Integrations — Connected ticketing and tool integrations
• Code processed — Total lines of code analyzed

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CSV Export

Export usage data as a CSV file for external reporting, audits, or analysis.

1. Click the Export CSV button in the top-right corner of the dashboard
2. Select the data sections you want to include:

Section	What It Contains
Total Active Sessions	Session count with breakdown by role
Total Questions Asked	Question count with breakdown by origin and role
Active Unique Users (Ranked)	Users ranked by question count
Active Users by Role	Estimated unique users per job role
Total Codesims Run	Simulation count with breakdown by scenario type and system layer
Workflow Stages	Per-stage metrics: issues processed, transitioned, questions asked, simulations run
Artifacts Created / Shared	Artifact creation and sharing counts
Lines of Code Used	Lines of code analyzed and total processed

3. Use Select All to include everything, or check individual sections
4. Click Export

The CSV file downloads with the naming format playerzero-usage-YYYY-MM-DD.csv and includes metadata headers with the date range, scope, and export timestamp.

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Get Started

👉 AI Player overview

👉 Code Simulations

👉 Workflows overview