6 CX Lessons Every Leader Should Hear

In this special season recap of **CX After Hours**, our host Anya Kelly revisits six standout moments from the podcast’s first six guests - and shares what each conversation taught her about building better customer experiences. From **Eli Weiss** on protecting the human side of CX and investing in your agents, to **Michael Bair** on why strong teams need clear metrics and accountability. **Cati Brunell Brutman** explores how CX leaders can turn overwhelming amounts of customer feedback into action, while **Leeor Cohen** challenges the instinct to solve every problem by buying a new tool. Anya also reflects on **Caroline ON Wilson’s** perspective on the emotional labor behind customer experience, and closes with **Aleni Mackarey** on why CX and marketing need to operate as closely connected parts of the same customer journey. Along the way, Anya shares lessons from her own career and the recurring idea running through the first season: great CX isn’t just about answering tickets. It’s about understanding customers, supporting the people serving them, influencing the wider business, and identifying the small changes that can make a disproportionately big difference. Whether you’ve listened from episode one or you’re discovering **CX After Hours** for the first time, this is the perfect introduction to the conversations and ideas that shaped Season One. Plus, a preview of what’s coming next when **CX After Hours returns September 9**, starting with Naomi Oriol of Freebird and a conversation about what AI means for traditional CX metrics, ticket categorization, and understanding the *why* behind customer conversations. CX After Hours is the podcast for CX leaders and operators in retail and ecommerce who are in the trenches scaling customer experience to drive real growth. Powered by Yuma AI, the show goes beyond polished talking points to explore the trade-offs, pressure, and decisions that shape whether customers come back, spend more, and stay loyal. Learn more about Yuma AI: https://yuma.ai/