> ## Documentation Index
> Fetch the complete documentation index at: https://docs.aptlystar.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Usage Analytics

The **Usage Analytics** page offers a centralized dashboard to monitor how AI agents are being used across the organization. It provides granular visibility into conversations, agent activity, and channel distribution — all of which help drive smarter decisions and operational insights.

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<Frame caption="Organization: Usage Analytics">
  <img src="https://mintcdn.com/aptlytechnologies/TSGkRD6-kMYzMneE/images/botconsole/usage.png?fit=max&auto=format&n=TSGkRD6-kMYzMneE&q=85&s=a46441227524bfb16176605dbfb8ee67" alt="Organization Usage Analytics view" width="1495" height="1066" data-path="images/botconsole/usage.png" />
</Frame>

## What You Can Track

This view gives you channel-wise and agent-wise breakdowns of:

* Total number of questions and answers (Q\&A) exchanged
* Channel-specific traffic (e.g., Playground, Web, WhatsApp, Discord, API)
* Which agents were most active
* How usage has trended over time

> 📈 This data helps identify engagement hotspots, uncover underused channels, and optimize where your AI is delivering the most value.

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## Filter Options

The left panel includes interactive filters to customize your analytics view.

### 🗓️ Date Range

Select the timeframe you want to analyze:

* All Time
* Yesterday
* Last 7 Days
* Last 30 Days
* Custom Range (using start and end dates)

> Useful for comparing usage trends across months or analyzing spikes post-feature launches.

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### AI Agents

Toggle visibility for each AI agent in your org:

* Check or uncheck individual agents
* Filter for **active** or **offline** agents
* Use "Select All" or "Clear All" for convenience

> Great for seeing which agents are driving the most engagement or are currently inactive.

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### Channels

Analyze performance across different communication channels:

* Website
* Telegram
* Discord
* WhatsApp
* API
* Playground

You can include or exclude channels depending on your use case — for example, isolating API usage or comparing live chat vs web widget behavior.

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## Visual Insights

In addition to summary cards, the dashboard now includes **graphical breakdowns** to make insights more intuitive:

* **Bar graphs** to compare agent activity and channel performance
* **Pie charts** to visualize distribution of queries across LLM models
* **Trend visualizations** to quickly spot spikes or drops

<Frame caption="Usage Analytics with Graphs">
  <img src="https://mintcdn.com/aptlytechnologies/fxDfczb_I-IJxzsP/images/botconsole/usage-graphs.png?fit=max&auto=format&n=fxDfczb_I-IJxzsP&q=85&s=f6e59c98609cc9d23ed09197a23cd48b" alt="Usage Analytics with graphical breakdowns" width="817" height="1066" data-path="images/botconsole/usage-graphs.png" />
</Frame>

These charts make it easier to not only track numbers but also **see patterns at a glance** — helping teams interpret data faster and make informed decisions.

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## Interpreting the Results

Once filters are applied, the right panel will display visual summary cards for each channel. Each card shows:

* **Total Q\&A count** for that channel
* A unified metric across all selected agents and date range

## Why It Matters

This page helps your organization:

* **Monitor real-time usage** across all AI integrations
* **Diagnose drops** or spikes in channel traffic
* **Audit agent activity** across internal and public touchpoints
* **Allocate resources** to channels with highest user interaction
* **Optimize content** or responses where engagement is low

Whether you're scaling support agents, tracking usage by department, or reporting engagement to stakeholders — this dashboard is essential for **AI ops**, **QA teams**, and **product managers** alike.

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