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How we scaled our customer interviews with ElevenLabs Agents

Blog post from ElevenLabs

Post Details
Company
Date Published
Author
Contact Sales
Word Count
927
Language
English
Hacker News Points
-
Summary

ElevenLabs utilized its voice AI technology to revolutionize the customer interview process for its ElevenReader app, conducting over 230 interviews in just 24 hours. This initiative aimed to gather user insights on feature requests, use cases, competitor comparisons, and pricing. By employing a conversational AI agent built on the ElevenLabs Agents platform, the team was able to conduct in-depth, scalable interviews that preserved the nuance often lost in surveys. The AI interviewer, designed to maintain an empathetic tone and prompt detailed responses, achieved an 85% success rate with a median call length of 10 minutes. The collected data, analyzed using Claude Opus 4.5, revealed key insights such as user needs for multi-character dialogue, brand value perceptions, and language confusion issues in the app's text-to-speech model. This successful implementation demonstrates the potential of AI voice agents in conducting global user research, offering a scalable solution that captures rich, conversational feedback.