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Documentation Index

Fetch the complete documentation index at: https://help.gowindmill.com/llms.txt

Use this file to discover all available pages before exploring further.

The Product Usage report shows how engaged your team is with Windmill. Use it to answer rollout questions like Are managers running 1:1s in the platform? Are people responding to Pulses? Is Windy being used? This is the dashboard to share with stakeholders who want to see Windmill ROI — it surfaces both reach (how many people are active) and outcomes (how much feedback is flowing, how many Pulse responses you’re collecting).

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What you’ll see

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Summary cards

Four headline numbers across the top:
  • Active this period — Number of employees 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, with a breakdown of how many were prompted by Windy vs. given proactively.
  • 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. This is the best signal that Windmill has gone from a single use case to a habit.
“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.

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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.

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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)
Each feature shows its adoption rate (percentage of scoped employees who used it), a progress bar, and the active member count. Click any feature to see exactly which employees engaged with it.

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Feature Adoption Over Time

A multi-line chart showing the monthly adoption percentage for each feature over the selected range. Use this to spot ramp curves after a rollout or detect a drop-off in a feature people had previously adopted.

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Employee Stats

A sortable table with one row per employee 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
See the full stats reference for the exact definition of every column in this table. Click any value to drill into that employee’s daily trend.

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Filters and date range

Use the Employee filter to scope to a specific team, manager, or department. Use the Date range picker (default: last 12 weeks) to change the window. The Weekly Active Users trend uses complete weeks; the Feature Adoption Over Time chart uses monthly buckets across the selected range. Like AI Adoption, this report only includes active members — archived employees and non-member employees are excluded.

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FAQs

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.)
Even a single qualifying event in the period counts. The summary card’s “or logged in” language is shorthand for this combined definition.
They’re tracked separately. Feedback covers continuous feedback submitted through Windmill. Shoutouts covers approved recognition sent to colleagues. A shoutout doesn’t count toward the Feedback adoption rate, and vice versa.
Windy-prompted feedback is when an employee submits feedback in response to a nudge from Windy — for example, during a 1:1 prep flow or a Pulse. Proactive feedback is anything the employee initiates on their own. The summary card shows the split so you can see how much of your feedback culture is Windy-driven vs. organic.
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.
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.
Not directly from Product Usage. For raw data, use the Explore report — pick the same stats (Windmill Active Days, Messages Sent to Windy, Feedback Given, etc.), apply the same employee filter, and export to CSV.