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Agent Behavior Comparison

Benchmark conversational agents across stylistic expressiveness, goal completion, and alignment to identify the right fit for complex deployments.

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Building an evaluation matrix

Dimension Measurement Approach Indicators
Lexical diversity Type-token ratios, unique n-gram counts Rich vocabulary vs repetitive phrasing
Sentiment & tone Sentiment scoring, politeness markers, empathy cues Friendly vs neutral vs curt responses
Goal-directedness Task completion rate, plan adherence, action timeliness Percentage of steps executed correctly
Compliance alignment Adherence to policies, refusal appropriateness False positive/negative rates for restricted requests
User perception Human ratings on clarity, helpfulness, trust Preference rankings across scenarios

Evaluate each agent against the same scenario set to ensure comparability. Combine automated metrics with human annotations for nuance.

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