Documentation Index
Fetch the complete documentation index at: https://docs.quivly.ai/llms.txt
Use this file to discover all available pages before exploring further.
Overview
The Usage Tab displays product analytics data from your data warehouse integration, showing how customers adopt and use your product.Key Metrics
At the top of the Usage Tab, view:- Active Users - DAU, WAU, MAU vs. licensed seats
- Adoption Score - Overall product adoption (0-100)
- Engagement Frequency - Session frequency and duration
- Feature Usage - Core and advanced features in use
- Usage Trend - 30-day growth or decline
Usage Health Indicators
- Healthy - Active user rate >70%, increasing trend, core features adopted
- Moderate - Active user rate 40-70%, flat trend, some features not adopted
- Low - Active user rate below 40%, declining trend, significant churn risk
User Activity
View user-level activity:| Segment | Definition |
|---|---|
| Power Users | Top 10% most active, daily usage |
| Active Users | Regular users, 2-3x per week |
| Casual Users | Infrequent, less than 1x per week |
| Inactive Users | No activity in 30+ days |
Feature Adoption
Track which features customers use:- Core Features - Essential functionality expected in first 30 days
- Advanced Features - Power user capabilities
- Premium Features - Higher-tier plan features
Usage Trends
Visualize usage patterns:- Time series showing daily/weekly/monthly trends
- Seasonal patterns and anomalies
- Usage alerts for significant changes
Expansion Indicators
Usage patterns that suggest expansion opportunities:- Approaching plan limits (users, storage, API calls)
- Interest in premium features
- High engagement with current features
- Team growth at customer company
Churn Risk Indicators
Usage patterns that predict churn:- Declining usage trend (3+ consecutive weeks)
- Decreasing active users
- Core feature abandonment
- Power users becoming inactive
Next Steps
Revenue Tab
Link usage to revenue metrics
Health Score Tab
See how usage impacts health