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AI-Generated Evaluation Report

The Report By Agent Data Scientist feature transforms evaluation results into clear report with insights. This automated report accumulates your test data, identifies performance patterns, and offers practical recommendations without requiring manual analysis. The report is provided in user-friendly markdown format with visual blocks.

When you run an evaluation, Teammately's AI Data Scientist examines the results and generates a structured report that includes:

  • An executive summary of overall performance
  • Analysis across different metrics and use cases
  • Identification of error patterns and potential issues
  • Assessment of whether your Agent is ready for production
  • Targeted recommendations for improvement

Report Content​

Introduction & Evaluation Context​

The report begins with context about your evaluation - which Agent was tested and why. It describes the evaluation's purpose and scope, helping team members understand what was being measured and why it matters to your specific use case.

Dataset Insights​

Understanding what you're testing against is crucial for meaningful evaluation. This section describes your test dataset and key parameters like the Number and types of test cases used, Major use cases represented in the AID and the Dataset source

Evaluation Approach​

The methodology section explains how your Agent was assessed, covering:

  • Specific metrics used for evaluation (e.g., Accuracy Rate, Comprehensiveness)
  • Information about the LLM Judges that performed the evaluation
  • The grading system and criteria used (Perfect, OK, Bad)

Performance Breakdown and Error Pattern Analysis​

This section interprets your Agent's performance across different dimensions. Rather than just showing raw numbers, it provides context about Success rates for each evaluation metric, Performance variations across different use cases and Areas where your Agent performs well or struggles

This analysis helps you understand not just how well your Agent performed overall, but where it excels and where it needs improvement.

Production Readiness Assessment​

This section provides a professional judgment on whether your Agent meets the quality thresholds needed for production use. It addresses important considerations such as:

  • Whether performance meets your defined requirements
  • Areas requiring further refinement before deployment
  • Potential risks when deployed in real-world scenarios
  • Recommendations for monitoring and guardrails

Improvement Roadmap​

The report concludes with practical suggestions for enhancing performance. These aren't vague recommendations, but specific areas to target and techniques to address identified issues. The suggestions are typically prioritized based on potential impact, giving your Agent development process a clear path forward.

For a deeper understanding of your evaluation results, you can explore two complementary features:

  • Logs: Review individual test case results in detail
  • Charts: Visualize performance metrics across categories