Reference Based Evaluation
Reference-based evaluation compares AI outputs with trusted answers, helping researchers assess accuracy, completeness, grounding, and consistency over time.

Reference-based evaluation compares AI outputs with trusted answers, helping researchers assess accuracy, completeness, grounding, and consistency over time.
2:16Rubric-based evaluation defines clear criteria for judging AI outputs, helping teams produce more consistent reviews and targeted, repeatable feedback.
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2:30Evidence-based assessments ground conclusions in relevant, reliable and traceable information for more consistent evaluation and better planning.
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2:23Dimension-based analysis compares research evidence across user, context, journey, product, and time dimensions to reveal hidden patterns and guide decisions.
Watch the videoOne AI-native operating system for market research and insight professionals — from study design and evidence generation to agents, institutional knowledge, delivery and action.