I want to walk you through a practical, lightweight approach I’ve used to catch problems early in chat channels: a three-metric early-warning system derived from chat transcripts that predicts when a conversation is likely to escalate or when a customer will reopen a ticket. This isn’t an...
May 20, 2026
• by Claire Moreau
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I often see product and support teams aim for two goals that can feel at odds: increase self-service deflection to reduce live handling, and keep identity risk tightly controlled. In practice you don't have to choose one or the other. With a privacy-first approach to proactive outreach, you can nudge the right customers toward secure self-serve paths while avoiding unnecessary exposure of...
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I’ve evaluated dozens of chat and messaging platforms while helping support teams scale omnichannel programs across Europe. When you’re operating in the mid-market — not a tiny startup but not a global enterprise either — the choice between Zendesk, Intercom, and Freshdesk often comes down to a combination of product fit, localisation capabilities, automation flexibility, and predictable...
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I’ve been in the thick of incident comms for years — from small SaaS outages to multi-region platform failures — and one lesson keeps coming back: customers will forgive a problem if you communicate clearly, quickly, and honestly. The challenge is doing that in a world where attention is scarce. Here’s a practical playbook I use to compress incident communications into a 60-second...
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I want to walk you through a practical audit checklist I use when hunting for the one knowledge article that can deliver a meaningful deflection lift—typically in the 8–12% range—for a digital support channel. This is the kind of win that scales: one well-placed, well-written article that customers actually find and use can reduce ticket volume, shorten handle time on remaining contacts,...
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When teams roll out GPT-based support assistants, the focus often lands on speed, deflection rates and the wow factor of conversational AI. What’s less sexy but far more critical is building a fail-safe human handover policy that prevents compliance slip-ups. I’ve seen the gap between automated responses and safe, compliant human escalation lead to embarrassing — and sometimes costly —...
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I recently ran a small experiment that tested generative AI replies against our existing templated responses. The goal wasn’t to prove one approach was universally better — it was to learn fast, protect our Net Promoter Score (NPS), and give agents and customers a clearly measurable experience. If you’re thinking about doing the same, here’s a pragmatic, lightweight A/B framework you can...
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I used to love macros. They promised consistency, speed, and a way to scale support without hiring an army. But over the years I watched the very thing meant to speed conversations quietly erode one of the hardest-earned metrics in support: CSAT. In countless Zendesk instances and similar ticketing systems, macros become templates of convenience that forget the person behind the ticket. The...
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When my team prepared to migrate our support platform last year, we focused on feature parity and API depth — the things vendors love to demo. What we underestimated was the human cost: hidden training time, repeated context-switching, and months of subtle inefficiencies that only became visible when agents were live on the new system. Over a decade working across CX operations and support...
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Every support leader I’ve worked with wants the same thing: to know about a problem before it becomes a trend. Dashboards that show churn rising a week after the fact are useful — but they’re not useful enough. What I build instead are nightly analytics pipelines that surface rising churn signals from chat transcripts the morning after the pattern starts. This lets product, ops, and support...
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When teams ask me how to choose a support platform, the first thing I tell them is: don’t judge a vendor on feature checklists alone. The real decision-maker is the total cost of ownership (TCO) — and the only reliable way to estimate that is by running a vendor trial designed specifically to surface migration, customisation, and training costs. I’ve run dozens of trials for SaaS support...
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