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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.
MetricDefinition
TopicThe high-level theme of a conversation. Topics are the broadest unit of classification and group together interactions around the same subject.
Action / TaskThe 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.
QueryA 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.
SentimentThe overall tone of a conversation, classified across five levels: Very Positive, Positive, Neutral, Negative, and Very Negative.
EmotionThe emotional state of the user, detected across 24 possible emotions for a more nuanced understanding of how users feel during interactions.
Conversation LengthThe number of back-and-forth exchanges between a user and the AI agent in a single conversation.
DurationThe total time a user spends in a conversation with the AI agent.
Adoption RateThe percentage of eligible users who have actively used the AI agent in a given period.
Error RateThe 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 RiskInteractions 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 IndexA 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.
ROIThe estimated return on investment generated by the AI agent, calculated automatically based on standard assumptions.
Hours SavedThe estimated number of hours saved by automating interactions through the AI agent, calculated automatically based on standard assumptions.