Analytics
See how your org works, beyond the org chart
Reports on AI adoption, Windmill engagement, 1:1 habits, and how your teams really collaborate. Built from the work data you already have.
Five reports, zero setup
People analytics without the analyst
Windmill's stats engine turns activity from your connected integrations into reports you can act on.
Network
Each dot is a person; each line is a working relationship
EngineeringExecutiveSalesSupportMarketing
Network overview
- People
- 48
- Relationships
- 214
- Communities
- 5
- Modularity
- 0.62
AI Adoption
Know if the AI tools you pay for get used
Adoption rates, daily and weekly actives, and per-capability usage for Claude, Codex, Cursor, and Devin, down to the individual user.
Organizational Health
Map who really works with whom
Organizational Health maps collaboration across your company, using organizational network analysis on signals like shared meetings, messages, code reviews, tasks, and documents.
Most connected
The people most central to how work flows.
Critical connectors
Often the people whose departure would fragment collaboration.
Cross-team linkers
The people whose relationships reach most broadly across teams.
Organizational Health surfaces collaboration patterns and strength, never the contents of anyone's messages, emails, or documents.
How it works
From connected tools to answers in minutes
No instrumentation, no data team, no dashboard project.
1. Connect your tools
Slack, GitHub, Jira, Google Workspace, and AI tools like Claude and Cursor connect in a couple of clicks.
2. Windmill aggregates the signals
The stats engine automatically turns raw activity from every integration into per-person, per-day stats.
3. Open a report
AI Adoption, Product Usage, Organizational Health, and 1:1 Meetings are pre-built and ready the moment data lands.
4. Drill down, export, share
Click any number to see the people behind it, export to CSV, or share a link. Every report view is saved in the URL.
The problem
Why people data stays invisible
The signal already exists. It's just trapped in a dozen tools, quarterly surveys, and a BI backlog.
Scattered across tools
Meetings in Calendar, code in GitHub, chatter in Slack, AI usage in four different admin consoles. Nobody sees the whole picture.
Surveys tell you too late
Engagement surveys are lagging indicators. By the time a team shows up disengaged, the damage is months old.
Org charts aren't reality
Reporting lines say who should work together. They can't show who really does, or who's quietly isolated.
BI projects take quarters
Getting people data into a BI tool means a data team, a backlog, and months of waiting for a single dashboard.
Frequently asked questions
Who can see Analytics data?
Workspace Admins and Data Analysts see Analytics for the entire organization. Managers see Analytics for themselves and anyone who reports to them, directly or indirectly. Other members see their own data, plus any employees they've been delegated access to. Filters in every report are scoped to what the viewer is allowed to see, so a manager can't filter to employees outside their reporting line.
Does Organizational Health show the contents of anyone's messages?
No. Organizational Health surfaces collaboration patterns and strength: who works with whom, and how much. It draws on signals like shared meetings, messages, code reviews, tasks, and documents, but never shows the contents of anyone's messages, emails, or documents. 1:1 notes stay private to their participants.
Which AI tools does the AI Adoption report track?
AI Adoption tracks Claude, Codex, Cursor, and Devin. Connect at least one of these integrations and Windmill turns their usage signals into adoption rates, trend charts, and per-user activity, including which specific AI capabilities, like Claude Code or Cursor Tab, each team uses.
Can I export data from Windmill Analytics?
Yes. The per-user tables in AI Adoption and Product Usage export to CSV, and the Explore report exports any custom stat selection as raw per-employee, per-day rows. Every report view is also saved in the URL, so you can bookmark a filtered view or share it with a link.
Do we need a BI tool or a data team to use Analytics?
No. The reports are pre-built, and Windmill's stats engine aggregates activity from your connected integrations automatically. When you want to go beyond the pre-built reports, Explore is a point-and-click builder: pick stats, filter employees, choose a chart type, and you're done.
Where do I see results for a specific Pulse survey?
Each Pulse survey has its own results report with response-level detail, filtering, and AI summaries. The Product Usage report in Analytics tracks Pulse at the engagement level: how many people are responding to and creating surveys across the organization.