> ## 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.

# Key Metrics

> An overview of all the metrics Nebuly automatically extracts from your AI agent conversations.

Nebuly automatically extracts a set of metrics from every conversation between your users and your AI agent. Here is an overview of all the metrics available in the platform.

| Metric                  | Definition                                                                                                                                                                                       |
| ----------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| **Topic**               | The high-level theme of a conversation. Topics are the broadest unit of classification and group together interactions around the same subject.                                                  |
| **Action / Task**       | The specific task a user is trying to accomplish within a topic. Actions sit one level below topics and provide more granular detail on user intent.                                             |
| **Query**               | A concise summary of a single interaction between a user and the AI. Queries are the most granular unit and represent what the user asked or expressed in a specific exchange.                   |
| **Sentiment**           | The overall tone of a conversation, classified across five levels: Very Positive, Positive, Neutral, Negative, and Very Negative.                                                                |
| **Emotion**             | The emotional state of the user, detected across 24 possible emotions for a more nuanced understanding of how users feel during interactions.                                                    |
| **Conversation Length** | The number of back-and-forth exchanges between a user and the AI agent in a single conversation.                                                                                                 |
| **Duration**            | The total time a user spends in a conversation with the AI agent.                                                                                                                                |
| **Adoption Rate**       | The percentage of eligible users who have actively used the AI agent in a given period.                                                                                                          |
| **Error Rate**          | The percentage of interactions where the user did not find a satisfactory answer, either because the AI failed to respond correctly or because the user expressed frustration with the response. |
| **Business Risk**       | Interactions where users express complaints or dissatisfaction directed at your company — not the AI itself. These are signals that may require attention from your team.                        |
| **AI Fluency Index**    | A measure of how effectively users are able to interact with the AI agent — capturing the quality of their prompting and their ability to get value from the AI.                                 |
| **ROI**                 | The estimated return on investment generated by the AI agent, calculated automatically based on standard assumptions.                                                                            |
| **Hours Saved**         | The estimated number of hours saved by automating interactions through the AI agent, calculated automatically based on standard assumptions.                                                     |