How to Track NPS and CSAT from Call Conversations Using AI Voice Agents

The text discusses a guide for implementing AI voice agents to track Net Promoter Score (NPS) and Customer Satisfaction (CSAT) directly from live call conversations, rather than relying on traditional post-call surveys. The AI system collects sentiment data and structured feedback automatically during calls, routing insights to CRM systems in real time and flagging detractors for immediate human follow-up. The guide provides a step-by-step approach to setting up the system, including creating an AI voice agent, configuring conversation flows, and connecting feedback data to analytics tools. It emphasizes the importance of timing survey questions appropriately, using sentiment analysis to validate scores, and separating NPS and CSAT queries to avoid survey fatigue. It highlights the effectiveness of AI-based tracking in capturing a comprehensive view of customer feedback, as demonstrated by various companies that have successfully reduced task times and improved satisfaction metrics.

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