How to Test & Evaluate Voice Agents: A Practical Guide To Testing & Quality Assurance
Blog post from Coval
Voice agent testing involves unique challenges compared to traditional software testing, as it requires probabilistic evaluations rather than deterministic outcomes, multi-turn conversation simulations, and non-binary results. Key challenges include managing latency issues, multi-modal failures, and special case handling, which necessitate a targeted testing approach. Crafting an effective evaluation strategy involves starting with basic structured tests, scaling with the agent's maturity, and implementing continuous performance evaluation. Best practices emphasize comprehensive automation, real-time monitoring, and continuous optimization. Coval offers a comprehensive platform to streamline this process by providing automated testing, production monitoring, and quality assurance tools, allowing developers to focus on agent improvement rather than building testing infrastructure.
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.