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

# Live data

The **Live Data** section gives you direct access to the underlying data collected by Nebuly. While **Reports** help you monitor trends through dashboards and visualizations, **Live Data** lets you explore individual users, conversations, and interactions in detail.

From the **Live Data** tab, you can browse and analyze:

### Interactions

An **Interaction** represents a single exchange between a user and your AI application, typically consisting of one user message and one AI response. It is the smallest unit of data stored in Nebuly and the foundation for all analytics.

Every interaction sent to Nebuly is automatically enriched with AI-generated insights, allowing you to understand not only what users said, but also what they were trying to achieve, how they felt, and whether the interaction was successful. Read more about interactions [here](/guides/live-data/interactions).

<Info>
  Interactions are ideal when investigating individual events, understanding failures, or reviewing specific conversations.
</Info>

### Conversations

A **Conversation** groups together one or more interactions that belong to the same session or thread.

While interactions provide a detailed view of individual exchanges, conversations give you the broader context of the entire user journey. Nebuly aggregates interaction data to compute conversation-level metrics and insights, making it easier to understand whether a user ultimately achieved their goal. Read more about conversations [here](/guides/live-data/conversations).

<Info>
  Conversation-level analysis is particularly useful when measuring task completion, identifying friction across multiple turns, or understanding the overall quality of an AI experience.
</Info>

### Users

A **User** represents a person interacting with your AI product. Users are identified by a stable user ID provided during data ingestion, allowing Nebuly to connect all of their conversations over time.

Looking at data from the user perspective makes it possible to move beyond individual conversations and understand long-term behavior, adoption, retention, and engagement. Read more about users [here](/guides/live-data/users).

<Info>
  User-level analysis is particularly valuable for understanding how different users interact with your AI product and how their behavior evolves over time.
</Info>

### User groups

**User groups** are collections of users who share common characteristics or behaviors. They allow you to analyze and compare specific populations instead of individual users.

Groups can be created using user attributes or behavioral criteria, making it easy to answer questions such as:

* How do enterprise customers use the assistant compared to free users?
* Are employees from different departments asking different questions?
* Which customer segments experience the highest error rates?

Once created, user groups can be used throughout Nebuly for filtering, segmentation, reporting, and comparisons, providing a consistent way to analyze user behavior across the platform. Read more about user groups [here](/guides/live-data/user-groups).