AI Won’t Fix a Broken Customer Experience: How to Turn Customer Data Into Growth with Matt Clare
Send us Fan Mail Guest: Matthew Clare LinkedIn: https://ca.linkedin.com/in/matthewjclare Website: https://ujet.cx/contact-sales?cls=MKTG&clp=Podcast&utm_source=guidetohr&utm_campaign=scaling-with-people-podcast AI is changing customer service but automating more interactions doesn’t automatically mean better customer experiences or stronger business results. In this episode of Scaling with People , host Gwenevere Crary sits down with Matthew Clare, VP of Product Marketing at UJET and a customer experience and contact center technology veteran, to explore how leaders can use AI to improve customer experience, make smarter workforce decisions, and uncover opportunities for growth. Matthew explains why companies that rush to replace human support with AI can end up with frustrated customers, rising costs, and disappointing results. He shares practical examples of organizations using AI not just to automate routine work, but to reskill employees, expand into new markets, and identify the underlying problems that drive customer contacts in the first place. In this episode, you’ll learn: Why AI adoption isn’t the same as business transformation. Understand why automating customer support doesn’t guarantee ROI—and why the right balance of AI and human support matters. How to make smarter headcount decisions. Before reducing staff, establish clear success metrics, measure the impact of AI, and monitor customer satisfaction, revenue, and costs. How to turn customer feedback into business intelligence. Discover how AI can consolidate conversations, surveys, reviews, and other feedback to reveal recurring issues and their root causes. How AI can unlock growth instead of just cutting costs. Explore examples of companies that reskilled employees and used automation to expand services and enter new markets. How to anticipate customer churn and operational problems. Learn how customer interaction data can help identify risks, improve staffing, and surface opportunities before they become bigger issues. Why you should ask customers how they want to interact with your business. Don’t assume everyone wants a chatbot. Understand customer preferences and make it easy for people to get the help they need. How AI can support employee performance. See how AI-powered quality evaluations, role-play training, and real-time coaching can help employees deliver better service. Matthew also demonstrates Spiral, UJET’s conversational analytics platform, showing how leaders can use natural-language prompts to analyze customer conversations, investigate staffing needs, identify churn drivers, and generate actionable recommendations. The central takeaway: Don’t optimize only for fewer customer interactions. Optimize for fewer customer problems. When you understand why customers need help, you can fix the underlying issues, improve their experience, and free your team to focus on higher-value work. If you’re a founder, executive, or business leader investing in AI, this episode will help you move beyond automation for automation’s sake and focus on measurable business outcomes. About Matthew Clare Matthew Clare is VP of Product Marketing at UJET. With 20 years of experience in customer experience, customer support, and contact center technology—including experience at Google—he helps organizations rethink how technology and human talent work together to deliver better customer experiences. Explore Guide to HR: Visit guidetohr.com to learn how people strategy and AI-powered systems can help growing companies scale smarter. Enjoyed the conversation? Share it with a leader navigating AI adoption, and subscribe to Scaling with People for more practical strategies to turn chaos into compounding growth. Support the show



