A market research firm was struggling with plummeting email survey response rates. They needed rich qualitative data but couldn't afford to hire enough human interviewers. We built an AI voice survey system that calls respondents, conducts natural conversational interviews, asks intelligent follow-up questions based on responses, and delivers structured data ready for analysis.
Surveys require branching logic, open-ended follow-ups, and the ability to keep respondents engaged. The AI needed to sound empathetic, handle tangential responses gracefully, and extract structured data from unstructured conversation.
We designed a survey orchestration engine that combines predetermined question flows with LLM-powered adaptive follow-ups. The AI detects when a respondent gives a surface-level answer and probes deeper. All responses are transcribed and simultaneously classified into structured categories for quantitative analysis while preserving the full qualitative transcript.
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