Cursor Analytics: From Seat Counts to Real Engineering Impact

See which teams use Cursor, how much code they accept, which models they choose, and what it costs. Worklytics turns Cursor's Admin API into team-level adoption, output and cost metrics, without reading any code.

400+ Metrics Generated ·  Anonymized Data  ·  Integrated to Corporate tools

Trusted by the world’s greatest IT and People Teams

The problem

Cursor tells you how much was used. Not what it produced for each team.

Cursor's own analytics show usage for the team account. They can't tell you which teams get value, how Cursor changes delivery, or how it compares with Claude Code, Codex and GitHub Copilot.

✕
No team-level value

Usage and cost are not tied to your HR structure, so you cannot see which departments, managers or locations justify their seats.

✕
No depth signal

A one-line question and a long working session look the same in seat activation data. They need different fixes.

✕
No cross-tool view

If you also run Claude Code, Codex or GitHub Copilot, there is no single view of your AI coding tools.

✕
No link to the work itself

A vendor dashboard cannot show how much of the working day involves AI, or how it changes focus time, meetings and output.

Analysis that goes beyond usage counts

See who adopts Cursor and why, what it changes in the engineering week, and what it costs by team.

What Worklytics adds

Six kinds of analysis a Cursor dashboard can't give you

Cursor reports on its own product. Worklytics connects Cursor to your org structure, your other AI coding tools and the engineering work itself.

01

Adoption by team, against peers

Active users, active days and usage for Cursor by team, manager, location and tenure, from your HR data.

Compare each team with the rest of your organization and with peer companies (benchmarks in beta).

02

AI fluency and workday penetration

Fluency goes beyond logins: how often and how intensively people use AI, and AI penetration, the share of available working time that involves AI.

See which teams have made AI part of daily work and which are still experimenting, and track movement after training.

03

Code and acceptance

Lines added and accepted, suggestion accepts and rejects, tab completions, and use of chat, composer and agent features, by team.

Shows whether Cursor suggestions are being kept, not just generated.

04

Drivers of adoption

Find what predicts AI use in your organization: whether a person's manager uses AI, tenure, role and team norms.

Aim enablement where it will move adoption most, starting with managers.

05

Impact on how work gets done

Compare heavy and light Cursor users, before and after rollout, on pull request throughput, review cycle time, focus time and meeting load.

Shows whether AI is changing the work itself, not just adding another tool.

06

Cost and return

Tokens, models and usage-based cost for Cursor by team and per active user, next to licensed seats.

See where spend goes and what it returns before you renew or consolidate tools.

Worklytics vs. native analytics

What Cursor's own analytics don't cover

Cursor's analytics cover usage inside the editor well. These are the gaps for teams that run more than one AI coding tool or need to connect AI use to the work.

CapabilityCursor analyticsWorklytics
Seat activation & weekly active users✓✓
Usage events per user, trendedPartial✓
Usage-based cost by department and per active user✗✓
Impact on pull requests and review time✗✓
Cross-tool view (Claude Code, Codex, GitHub Copilot)Cursor onlyAll AI tools unified
Breakdowns by manager, tenure and locationNot tied to HR data✓
Impact on focus time, meetings, collaboration and output✗✓
AI penetration of the working dayNot availableBy team, trended
User-level pseudonymization (no raw data)Basic aggregationSHA-256, minimum group sizes

How it works

Connected without instrumentation

1

Connect via read-only API

Worklytics reads Cursor usage through Cursor's Admin API. No agent, no SDK and no code changes, and nothing is written back to your account.

2

Pseudonymize identities

Personal identifiers are hashed with SHA-256 before analysis, and results are shown only for groups above a minimum size. Prompt and response text is never stored. With the Worklytics proxy, this happens before data leaves your environment.

3

Layer in HRIS, calendar, and Git (optional)

Connect your HRIS, calendar or GitHub to see Cursor use by team and next to pull requests, reviews, meetings and focus time. Cursor works on its own too.

4

Dashboards from week one

Adoption, fluency, task, impact and cost views come pre-built. Most teams see metrics within a week of setup, with trends building over the following 30 days.

Privacy & Compliance

Built for enterprise trust and compliance

Worklytics measures AI use without reading employee content. It connects through admin-level APIs only, is audited annually against the SOC 2 standard, and is privacy-first by design.

Know what your Cursor spend is actually producing

The data is already there. Worklytics connects through read-only APIs and gives IT, HR and leadership pre-built views, each with a clear action to take.

Book a DemoSee a Sample Report
No raw conversation data storedWorks with ChatGPT Enterprise, Copilot & GeminiRead-only API