> ## 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.

# Usage Tab

> Monitor product adoption and user engagement

## Overview

The Usage Tab displays product analytics data from your data warehouse integration, showing how customers adopt and use your product.

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## 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

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## 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

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## 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           |

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## 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

View adoption status: Adopted (over 50% users), Partial (10-50%), Not Adopted (under 10%).

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## Usage Trends

Visualize usage patterns:

* Time series showing daily/weekly/monthly trends
* Seasonal patterns and anomalies
* Usage alerts for significant changes

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## 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

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## Churn Risk Indicators

Usage patterns that predict churn:

* Declining usage trend (3+ consecutive weeks)
* Decreasing active users
* Core feature abandonment
* Power users becoming inactive

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## Next Steps

<CardGroup cols={2}>
  <Card title="Revenue Tab" icon="dollar-sign" href="/customer-views/revenue-tab">
    Link usage to revenue metrics
  </Card>

  <Card title="Health Score Tab" icon="heart-pulse" href="/customer-views/health-score-tab">
    See how usage impacts health
  </Card>
</CardGroup>