What you’ll see
Summary cards
Four headline numbers across the top:- Active this period — Number of users who used any Windmill feature or logged in during the selected date range, with the adoption rate underneath (active / scoped).
- Feedback this period — Total pieces of feedback submitted, including Windy prompted feedback, proactive feedback, and Shoutouts.
- Pulse survey responses — Total Pulse responses submitted during the period.
- Multi-feature engagement — Percentage of active users who used 2 or more features during the period.
“Active” includes both Windmill Dashboard logins and user-sent messages to Windy in Slack. An employee who only ever chats with Windy in Slack still counts as active — Windmill doesn’t require people to open the web app.
Weekly active users
An area chart showing weekly active users (WAU) across the selected date range. Click any week on the chart to open a side panel listing every employee who was active that week.Feature adoption
A breakdown of adoption for each of Windmill’s tracked features:- Windy — Chatted with Windy in Slack or in-platform, including chats they started and Windy-initiated chats they replied to
- 1:1s — Edited shared notes, responded to prep questions, or accepted or dismissed agenda suggestions
- Feedback — Submitted feedback through Windmill (excluding shoutouts)
- Shoutouts — Sent approved recognition to a colleague
- Private notes — Created at least one private note about a colleague
- Pulse — Completed or created a Pulse survey
- Performance reviews — Participated in a review cycle (drafted or submitted answers)
Feature adoption over time
A multi-line chart showing the adoption percentage for each feature over the selected range. Use the Daily / Weekly / Monthly toggle to change the chart’s granularity. The default is Weekly.User Stats
A sortable table with one row per user in scope. Columns include:- Windmill Active Days — Distinct days the employee logged into Windmill or messaged Windy
- Per-feature activity counts: Messages to Windy, 1:1 note edits, agenda topics accepted and dismissed, prep sessions responded to, feedback given, Windy prompted feedback submitted, Shoutouts sent, private notes created, Pulse responses submitted, Pulses created, performance review drafts saved, and performance review answers submitted
Scope
Use the shared Analytics filters and date range to change the report scope. Product Usage includes active Windmill members; archived employees and people without a member account are excluded.FAQs
What exactly counts as 'active'?
What exactly counts as 'active'?
Any of the following in the selected date range:
- Logging into the Windmill Dashboard
- Sending a message to Windy in Slack
- Any of the feature activities (1:1 note edits, feedback submitted, Pulse responses, etc.)
What counts as Feedback vs. Shoutouts?
What counts as Feedback vs. Shoutouts?
The Feedback this period summary includes both Feedback and Shoutouts. In Feature adoption, Feedback and Shoutouts are tracked separately. Feedback covers submissions through Windmill. Shoutouts covers approved recognition sent to colleagues.
What's the difference between 'Windy-prompted' and 'proactive' feedback?
What's the difference between 'Windy-prompted' and 'proactive' feedback?
Windy prompted feedback is submitted in response to a prompt from Windy. Proactive feedback is initiated by the employee.
Why is the Pulse adoption rate lower than I expect?
Why is the Pulse adoption rate lower than I expect?
Pulse adoption counts employees who completed or created a Pulse during the period. People who received a Pulse but didn’t respond don’t count. If you want to track response rate for a specific Pulse, look at that Pulse’s report directly.
Why is an employee missing from the report?
Why is an employee missing from the report?
The same scoping rules as AI Adoption apply — only active members appear. Archived employees and people without a Windmill member account are excluded. Invite missing employees from Members.
Can I export this data?
Can I export this data?
Yes. Click Export CSV in User Stats to export that table. For a custom selection of stats, use Explore.