Introducing Category Correlation: Identify Which Production Signals Move Together

Confident AI has launched Category Correlation, a feature designed to identify relationships among classified production signals in LLM applications without requiring teams to manually filter through every possible label combination. Using classifiers for dimensions such as agent issues, sentiment, use cases, and security or safety events, the tool analyzes live traces and conversation threads to show which category pairs occur more or less often than expected. It provides an overall Cramér’s V score for the relationship between two classifiers, a heatmap of label-level associations, and direct access to the underlying traces or threads for investigation. The feature is intended to help product, engineering, and evaluation teams prioritize issues linked to user outcomes, diagnose behavior, and create relevant test cases, while emphasizing that correlation indicates areas for investigation rather than proving causation.

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