ElevenLabs Launches A/B Testing Feature for AI Agents, Letting Teams Optimize Performance on Live Traffic
Summary
ElevenLabs launches Experiments in ElevenAgents, a powerful A/B testing feature that lets teams optimize AI agent performance by testing prompt, voice, and workflow variants on live traffic while tracking key metrics like CSAT, conversion rates, and cost per resolution.
Key Points
- ElevenLabs launches Experiments in ElevenAgents, enabling teams to run controlled A/B tests on live production traffic to measure the real-world impact of agent configuration changes before broad deployment.
- The feature allows users to create variants by modifying prompts, workflows, voices, or guardrails, then route a defined percentage of live traffic to each variant while tracking key metrics like CSAT, containment rate, conversion, and cost per resolution.
- Built with enterprise-grade versioning and audit trails, Experiments supports full rollback capabilities and clear attribution, giving teams the ability to iterate quickly on conversational agents while maintaining compliance and governance.