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

# Conversations Feed

The **Conversations Feed** gives you detailed insights into user chat interactions across the platform. It compiles all conversations into a single view, offering data visualizations, top assistant usage, and user behavior trends—making it a valuable tool for understanding engagement, optimizing experiences, and ensuring compliance.

***

## Key Metrics in the Feed

Each row in the feed includes:

* **Name** – The user who started the conversation.
* **Chat** – The title of the conversation thread.
* **Messages** – Number of messages exchanged.
* **Violations** – Flags if any policy violations occurred.
* **Agent** – Which AI assistant was used.
* **Created** – When the chat started.

***

## Conversation Details

Click on a conversation to see more detail:

* **Full Chat Log** – The complete conversation thread.
* **User Inputs** – Messages from the user.
* **Assistant Responses** – Replies from the AI assistant.
* **Timestamps** – When each message was sent.

<Info>
  This detailed view is essential for reviewing conversations for quality assurance, user intent, or compliance checks.
</Info>

***

## Filter for Targeted Analysis

Use filters to narrow down the data:

* **Date Range** – Focus on specific timeframes.
* **Agent** – Filter by the assistant involved.
* **User Group** – View chats from specific users or teams.
* **Project** – Analyze conversations within a particular project context.

<Tip>
  These filtering options make it easy to find relevant conversations and uncover actionable insights based on context, timeframe, or assistant usage.
</Tip>

***

## Data Visualizations

The feed includes visuals to help you quickly understand platform usage and trends:

* **Conversation Volume Trend** – A line graph showing how chat volume changes over time.
* **Top Assistants** – Highlights the most-used AI assistants.

<Info>
  These charts help teams monitor engagement, identify popular assistants, and detect usage spikes or dips at a glance.
</Info>
