How to Measure Time Saved From Codex
A five-step, work-data method to measure the hours and dollars Codex saves your developers, with real Worklytics benchmarks, and how the same model measures AI sales team effectiveness across engineering and revenue.
One Dashboard for Claude, Copilot, Gemini, and ChatGPT
Your teams run Claude, Copilot, Gemini, and ChatGPT, but each tool has its own console. A unified AI tool dashboard measures adoption, engagement, productivity, cost, and impact across every AI assistant in one view.
How to Export & Analyze Cursor Usage Data
Where Cursor usage data comes from and how to export it through the dashboard, Admin API, and Analytics API, how to calculate acceptance rate without double counting, and how to turn session and acceptance data into an adoption, engagement, and impact picture.
Measuring AI's Impact on Sales Team Performance
A four-step framework for measuring how AI changes sales team performance, from adoption and usage depth to changed selling habits and dollar value, using leading indicators like prep time and prospects reached instead of revenue alone.
How to Analyze Codex Spend Data
Credits per developer is a spend metric, not a proficiency metric. This guide covers cost allocation, separating adoption from intensity, and benchmarking Codex spend against output and peers.
