AI BriefingElevenAgents Introduces Experiments Feature
Key point
ElevenLabs has launched an Experiments feature that lets users test and optimize ElevenAgents' performance using real-time traffic.
Details
ElevenLabs has introduced Experiments, a feature within ElevenAgents that enables A/B testing against actual production traffic. This allows users to measure in advance how changes to prompt structure, workflows, voice, and guardrails affect business outcomes.
Moving away from intuition-based optimization methods, Experiments supports evidence-driven decision-making based on real-time data. Users can route a specific percentage of traffic to a new variant to validate performance through real customer interactions.
The experiment process proceeds as follows:
- Create a new Variant: Modify prompts, tools, knowledge base, etc. based on an existing agent version.
- Traffic routing: Direct a defined percentage of live conversations to the new variant.
- Measure performance: Compare key metrics such as CSAT, Containment rate, Conversion, Latency, and Cost.
- Adopt the winner: Roll out the version with proven improvements to all traffic.
This feature is designed with version control and audit trail capabilities, making it safe to use in enterprise environments. CX, revenue, and operations teams can use it to continuously optimize and enhance conversational agents.
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