Voice Agent Evaluation is the end-to-end measurement of how well an AI voice agent performs across the full pipeline — speech recognition, language understanding, dialogue and actions, and speech output. It looks at task success, response accuracy, latency, interruptions and overall conversation quality rather than any single component in isolation.
A voice agent chains STT, an LLM and TTS together, so component metrics alone don't predict real performance. Evaluating the whole conversation — did it understand the caller, respond correctly, stay fast, handle interruptions and complete the task — is how teams ship voice agents that work reliably in production.