When Customer Experience Goes Wrong: AI Promises, Survey Fatigue, and Subscription Traps
AI gone rogue, broken feedback loops, and cancellation nightmares—this episode of Marginally Better exposes how even well-intentioned CX efforts can backfire. Joe Taylor, Jr. unpacks why 64% of customers want AI out of customer service, how survey fatigue is killing Net Promoter Scores, and why the subscription economy may finally be forced to clean up its act. From chatbot fails to $881 million algorithm mistakes, this episode explores what happens when technology outpaces empathy—and what brands must do to regain trust.
Episode Links
AI Must Solve Real User Problems
Contact Center AI is triggering customers
AI in the Workplace
Effect of Declining Response Rates
Click-to-cancel rule
Predatory Subscriptions
Dark Pattern Examples
Additional Resources
Zendesk - CX Trends 2025 Report
Vistio - AI in Customer Service: Risks & Challenges
FullStory - How AI is Transforming Customer Experience
Microsoft - How Real-World Businesses Are Transforming with AI
Quidget - Top AI Chatbot Fails and How to Prevent Them
Hotjar - What is Net Promoter Score (NPS)
Qualtrics - Net Promoter Score (NPS): The Ultimate Guide
Wikipedia - Net Promoter Score
Malewicz Method - Welcome to the Era of "MEH"
Customer Thermometer - 125 Survey Fatigue Statistics
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AI gone rogue, broken feedback loops, and cancellation nightmares—this episode of Marginally Better exposes how even well-intentioned CX efforts can backfire. Joe Taylor, Jr. unpacks why 64% of customers want AI out of customer service, how survey fatigue is killing Net Promoter Scores, and why the subscription economy may finally be forced to clean up its act. From chatbot fails to $881 million algorithm mistakes, this episode explores what happens when technology outpaces empathy—and what brands must do to regain trust.