The Issue With Customer Surveys And How AI Fixes It

In this episode, we unpack the "Big Three" customer feedback metrics used by organizations worldwide: Customer Satisfaction (CSAT), Net Promoter Score (NPS), and Customer Effort Score (CES). We'll explore the heated debates surrounding these metrics—from experts claiming NPS calculations are flawed and "fake science" to university studies showing CES might be the weakest predictor of all

The conversation delves into the evolution of customer feedback surveys, the shift to a subscription economy, the controversy surrounding the Net Promoter Score (NPS), the flaws of traditional customer feedback metrics, survey fatigue and response rate biases, the frustration of the creator of NPS, the need for change, the solution of implicit feedback and NLP, and the philosophical implications of AI-driven feedback.

Takeaways

• Customer feedback surveys are evolving from traditional explicit surveys to AI-driven implicit feedback.
• The future of customer feedback relies on natural language processing (NLP) to analyze customer sentiment and eliminate survey biases.

Chapters

• 00:00 The Evolution of Customer Feedback Surveys
• 05:59 The Controversy of Net Promoter Score (NPS)
• 13:01 Survey Fatigue and Response Rate Biases
• 18:02 The Solution: Implicit Feedback and NLP