Before digging into use cases, a few things that are important to know about Deep Dives:
1) Deep dives are limited by the data they have access to. If Windmill is not connected to a system you use, you will not see data about it via Deep Dives.
2) If you company has just started on Windmill, you will only have a few weeks of data to pull from so answers may be limited.
3) Feedback collected by Windy helps power Deep Dives. If you have not started sending Feedback in Windmill, it will be extremely limited when answers questions like:
What are my strengths and weaknesses?
What do my teammates think of me?
Deep Dives are designed to save time and automate repetitive tasks—especially for managers. Here are some real-world examples of how it’s being used:
1. Tracking New Employees
Example Question: “How’s Austin, our new engineer, doing so far?”
Windy digs into Austin’s recent activity, pulling together:
• What he’s been working on
• Feedback he’s received
• Quantitative stats (e.g., tasks completed)
2. Monitoring Meeting Time
Example Question: “How much time are we spending in meetings, and how’s that trending?”
Windy analyzes your team’s calendar data, categorizes meeting types (internal vs. external), and tracks changes over time. You’ll get a clear snapshot of where time’s going and how to optimize it.
3. Prepping for One-on-Ones
Example Question: “What’s the latest on my team before my one-on-one?”
Windy compiles a briefing with recent updates, contributions, and feedback for the person you’re meeting with—ensuring you’re fully prepared to make the most of your time.
4. Personal Productivity Insights
Example Question: “Any trends in my coding habits, and what feedback am I getting on my pull requests?”
Windy tracks your coding activity, analyzes pull request reviews, and highlights trends. It even offers actionable advice—like a checklist of things to review before submitting PRs to improve code quality.