SaaS · Product
Feature usage tracking
Seeing which tools in your app are used daily vs. never.
Daily active use, by feature
Dashboard
AI Assistant
Alerts
Reports
Integrations
Finding
AI Assistant went from 5% to 34% of daily users in 30 days; Reports is used by 12%.
Who it's for
Product managers who need to understand which features drive value and which are underutilized.
What it solves
Identify which features users actually engage with so you can prioritize development and deprecate unused functionality.
Questions it answers
Which feature has the highest daily usage?
Dashboard accessed by 78% of users daily, while Reports is only used by 12%.
What's the feature adoption trend?
New AI Assistant feature grew from 5% to 34% adoption in 30 days.
Which features correlate with upgrades?
Users who use Integrations are 3.2x more likely to upgrade to Pro.
- Which features are used most frequently?
- What features are rarely or never used?
- How does feature usage vary by user segment?
- Which features correlate with retention?
The impact
- Reduce feature bloat by 40%
- Increase feature adoption by 25%
- Prioritize roadmap with confidence
The data it needs
- Feature interaction events
- User identifiers
- Timestamp for all actions
- User segment data
Read in place in your warehouse. Nothing is copied out.
Feature usage tracking: frequently asked questions
Run this on your own data.
Start free on your warehouse, or book a demo and we'll show it on your data.