Scenario-based Evaluation

An evaluation method in which human reviewers assess the quality of AI system outputs against defined criteria such as correctness, relevance, helpfulness, safety, or fluency, providing judgments that complement or validate automated evaluation metrics.

An evaluation method that uses software, benchmarks, metrics, or models to assess the quality, correctness, or performance of AI systems without manual review.

An assessment method that measures system performance on targeted, custom domain tasks rather than general capabilities.

An evaluation performed outside production using fixed datasets, test cases, or recorded interactions to assess an AI system before deployment.

An evaluation approach that assesses AI outputs against structured, criteria-specific scoring rubrics.