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

# Analytics

> Monitor platform usage with interaction logs and usage charts.

# Analytics

The Analytics section gives administrators visibility into platform usage — conversations, agent performance, and usage patterns.

## Interactions log

The interactions log records all conversations:

* **User** — Who initiated the conversation
* **Agent** — Which agent was used
* **Timestamp** — When the conversation happened
* **Message count** — Number of messages
* **Feedback** — User ratings (thumbs up/down)

<Frame caption="The interactions log — a searchable record of all conversations.">
  <img src="https://mintcdn.com/neuralfactory/WnEBKSbgHabbHNgr/images/platform/analytics-interactions.png?fit=max&auto=format&n=WnEBKSbgHabbHNgr&q=85&s=67fd40bb5cb117061531cd9aa6458e87" alt="Analytics interactions log" width="1709" height="1350" data-path="images/platform/analytics-interactions.png" />
</Frame>

Click any interaction to view the full transcript, including tool usage, retrieved sources, and user feedback.

### Filtering interactions

Use filters to narrow the log:

* **Date range** — View interactions from a specific time period
* **Agent** — Filter by specific agent
* **User** — Filter by specific user
* **Feedback** — Show only positively or negatively rated interactions

## Usage charts

Visual dashboards showing platform usage trends:

* **Conversations over time** — Daily/weekly/monthly conversation volume
* **Messages per conversation** — Average conversation length
* **Agent usage distribution** — Which agents are used most
* **Active users** — Unique users per time period
* **Token usage** — AI model token consumption over time

<Frame caption="Usage charts showing conversation volume and active users over time.">
  <img src="https://mintcdn.com/neuralfactory/WnEBKSbgHabbHNgr/images/platform/analytics-usage.png?fit=max&auto=format&n=WnEBKSbgHabbHNgr&q=85&s=a6f966d55cc59e8b2ea24cbe9fa2304c" alt="Analytics usage charts" width="1709" height="1350" data-path="images/platform/analytics-usage.png" />
</Frame>

## Using analytics to improve

* **Identify popular agents** and those that need attention
* **Find low-rated interactions** to diagnose configuration issues
* **Track adoption** as you roll out new agents or knowledge bases
* **Monitor costs** through token usage trends
* **Justify investment** with usage data showing platform value