Customer Support Leaders

Customer Support Leaders have been there, on the front line with customers. They understand how things work, and the value of support. They understand the needs and foibles of their customer base. Unlike most other disciplines, there’s no training for this role. No two CS Leadership roles are alike. No two CS Leaders are alike. So this is our opportunity to hear from those leaders and learn from them. Whether you’re a CS leader now, or you aspire to be, this is the podcast for you! Hear different leaders discuss a topic with me, Charlotte Ward.

Customer Support Leaders is a business podcast hosted by Charlotte Ward, with 374 episodes on record and a Required Pod Score of 80.

Charlotte Ward hosts Customer Support Leaders, a business show with 374 episodes published.

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  Customer Support Leaders

  313: Build with AI and Bring the Team with You; with Italo Belandria

  Jul 29, 202635 min

  Send us Fan Mail You can feel the ground shifting in customer support right now: AI is giving non-technical leaders the ability to build. I sit down with Italo Belandria, Head of Customers at Ringover, to unpack what that actually looks like day to day when you are responsible for customer success and customer support operations but you are not an engineer. We talk about moving beyond “AI writes emails” into AI-driven prototyping, where you create a working draft of a workflow and bring something real to product and engineering so they can make it scalable and secure. Italo shares how he uses AI agents to speed up product testing and internal documentation by recording a quick walkthrough, generating structured notes, and then validating the output before sending it on. We also dig into a customer support analytics story where a client believed average ticket resolution was 28 days. By analysing every ticket event with an AI workflow, Italo uncovered the real cause: an automation that updated tickets long after they were solved, making the metrics look terrible. The result is a clearer customer narrative, stronger trust, and a repeatable internal tool for future account reviews. Then we zoom out to the part most teams underestimate: change management. If one leader builds everything, everyone else can freeze. We talk psychological safety, getting teammates comfortable sharing rough prototypes, and why the next frontier is connecting all those mini tools into one coherent support operations ecosystem that shares data cleanly. If you care about AI in customer support, customer experience, and modern support leadership, this one will give you practical moves you can try immediately. Subscribe, share this with a support leader who is experimenting with AI, and leave a review telling us what you want to automate first. Support the show

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  Customer Support Leaders

  307: How Customers Experience AI; with Shep Hyken

  Jun 17, 202635 min

  Send us Fan Mail AI can make customer support faster, cheaper, and more consistent, but it can also quietly destroy trust when it becomes a wall between customers and real help. Charlotte Ward sits down with customer experience expert Shep Hyken to get brutally clear on what never changes: customers want to be happy, they want you to take care of them, they want it to be easy, and when something breaks they want it fixed. The channel is secondary. The feeling is the product. We unpack why Amazon is one of the few brands that can run an overwhelmingly digital service model without making customers feel abandoned, and what most companies get wrong when they use AI as contact deflection. Shep shares why the human touch is not going away, it is flipping into a competitive advantage that strengthens the digital experience. We also get into proactive communication that reduces anger (knowledge is power), why “silence kills trust”, and how to design escalation so customers do not have to repeat themselves. You will also hear surprising research on support preferences across generations, what it means when Gen Z starts choosing the phone more often for real problems, and why “time to happiness” may be a better north star than average handle time. If you are building AI customer service, contact center automation, self-service, or omnichannel support, this conversation will help you keep speed without sacrificing the relationship. Subscribe, share this with a CX leader on your team, and leave a review with the one place you think AI should never be the only option. Support the show

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  Customer Support Leaders

  306: Outcomes Over Optics; with Carl Lenocker

  Jun 10, 202643 min

  Send us Fan Mail Great support can look “perfect” on paper and still fail the customer in real life. That tension is what we dig into with Carl Lenocker, a senior customer success executive, executive coach, and longtime support leader, as we unpack a simple idea with big consequences: outcomes over optics. We get concrete about how traditional support KPIs like first contact resolution, time to answer, and fast ticket closure can quietly create the wrong behaviours. When the business rewards speed and box-checking, teams get pushed toward rushed calls, prematurely closed cases, and fewer relationship-building moments. Carl shares lessons from running global support at HP and why many of these pressures ultimately trace back to money, cost cutting, and the old “support as a cost center” story, especially during the outsourcing era. From there, we look forward. We talk about AI in customer support as a way to handle simple issues quickly, and why the real opportunity is to reinvest human time into premium, consultative, relationship-driven support that prevents the next ticket and protects renewals. We also call out action faking, including performative QBRs, and Carl breaks down what actually matters in a customer business review: business objectives, progress, and risks, not 50-slide theatre. If you lead support or you’re building a career in post-sale, you’ll leave with sharper language for executives, better internal alignment, and a clearer way to prove value beyond dashboards. Subscribe for more conversations like this, share this with a support leader who needs it, and leave a review with the metric you think your team should stop worshipping. Support the show

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  Customer Support Leaders

  305: Measuring Your Support Maturity; with Neal Travis

  Jun 3, 202637 min

  Send us Fan Mail Support teams don’t usually fail because they “don’t care” or “aren’t working hard enough.” They fail because they scale on instinct, accumulate tribal knowledge, and measure whatever is easiest until the whole system starts to wobble. We sit down with Neal Travis, Head of Customer Experience and Operations at AIHR, to talk about measuring support maturity in a way that leads to real decisions, not a prettier dashboard. Neal shares how a small team can support a large customer base by getting ruthless about what support owns and how the work is designed. We walk through Neal's support maturity framework built around three domains: knowledge, quality, and data and insights. On the knowledge side, we dig into self-service experience, internal knowledge management, and training that prepares the team for what’s coming next, not just onboarding. We also unpack why “supportability” is an outcome when documentation, enablement, and cross-team alignment are strong, and why customers learning changes before support does is always a red flag. From there we move into quality, separating communication quality (standards, coaching, QA programmes, onboarding for great conversations) from operating quality (channels, capacity, coverage, incident management, and the reality of a messy support tech stack). Finally, we get practical about support metrics and measurement architecture: choosing the right metrics, understanding trade-offs like handle time vs after-call work, building reliable data infrastructure, and turning voice of the customer into action that closes the loop. If you want a clear picture of where your support function is mature and where it’s fragile, this conversation gives you a map. Subscribe for more, share this with a support leader who’s trying to scale, and leave a review with the one domain you’re working on next. Support the show

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  Customer Support Leaders

  304: Reverse One-to-Ones; with Greg Skirving

  May 27, 202627 min

  Send us Fan Mail Your one-on-ones shouldn’t feel like a weekly status treadmill where we do all the talking and our team does all the nodding. Charlotte Ward sits down with Greg Skirving to unpack a deceptively simple leadership shift: the reverse one-on-one, where the direct report leads with their perspective instead of waiting for the manager’s agenda. Greg walks us through his practical structure a three-slide monthly check-in covering accomplishments, challenges, and what the person wants to improve next. We talk about why this works especially well in customer support and technical support environments that are drowning in metrics like tickets closed and MTTR, while so much real value goes uncounted: mentoring, onboarding, process fixes, cross-functional help, and customer moments that protect renewals. The goal isn’t more paperwork, it’s clearer thinking, better coaching, and a more honest view of impact. We also dig into the change management piece: why the first few rounds can be awkward, how to coach ICs who dislike “talking about themselves,” and how presenting internally becomes a safe way to build communication and confidence that carries into customer calls, incident leadership, and even career moves into pre-sales, implementation, or project roles. By the end, we connect the dots to a simple career advantage: building an ongoing evidence file that makes self-evaluations and promotion conversations easier because the proof is already collected. If you want one-on-ones that create growth and not just updates, listen now, then subscribe, share with a fellow support leader, and leave a review. What would you change about your one-on-ones first? Support the show

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