AI Agents for Surveys and Customer Feedback Collection
AI voice agents conduct post-interaction surveys, NPS collection, and market research calls with higher completion rates than IVR or email surveys.
Email surveys get 5–15% response rates. IVR post-call surveys get 3–8%. AI voice agent surveys get 25–40% completion rates because they're conversational, adaptive, and respectful of the respondent's time. Instead of 'Press 1 for satisfied, 2 for dissatisfied,' the agent asks 'How did we do today?' and listens to the natural language response — extracting both the rating and the reasoning behind it.
Survey types that work well
- Post-interaction CSAT — call within 30 minutes of a service interaction while the experience is fresh
- NPS collection — quarterly or semi-annual relationship surveys
- Product feedback — targeted questions about specific features or recent changes
- Market research — broader research questions for product development or competitive intelligence
- Event follow-up — post-event satisfaction and interest in future events
The conversational advantage
When a customer tells an AI agent 'It was fine, I guess, but the wait was way too long,' that response contains both quantitative data (moderate satisfaction) and qualitative insight (wait time is a pain point). The agent can probe naturally: 'I'm sorry about the wait. How long were you on hold?' — capturing structured data that a 1–5 scale survey would miss entirely. This natural probing produces richer feedback without feeling like an interrogation.
Keep it short
The fastest way to kill survey completion rates is to make calls too long. AI survey calls should take 2–3 minutes maximum. Ask 3–5 questions. Thank the respondent. Move on. If you need deeper insights, follow up with a subset of respondents who expressed willingness, or use the conversational data from short calls to identify patterns worth investigating further.
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