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.Documentation Index
Fetch the complete documentation index at: https://docs.nebuly.com/llms.txt
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| 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. |