Agent QA at a glance: Heat-map analytics
We've just shipped a scorecard heat-map to the Reviews screen in Coach. This release will give you a team-wide view
We’re excited to launch the new Customer Overview screen in WatchTower, designed to give you a complete, AI-powered view of any customer’s journey, all in one place.

Until now, understanding a customer’s support history with your brand meant switching between multiple screens and piecing together their story. With Customer Overview, you can instantly access a full summary of their conversations, survey scores, detected emotions, and a new metric: Total Handling Time. The screen opens in a new tab, so your current workflow stays uninterrupted.


You can access a customer’s overview in two ways:

Once you’re on the Customer Overview screen, you’ll see a rich breakdown of that customer’s contact history and patterns.

Soon, you’ll be able to access Customer Overview directly from a Frequent Contacts table to help you identify high-effort or unsatisfied customers, track their long-term behaviours, and prioritise key accounts.
We’re excited to bring you this new way of understanding your customers. As always, your feedback helps us improve. So let us know what’s working, what’s not, and what you’d love to see next!
Read more about how this works here.
We've just shipped a scorecard heat-map to the Reviews screen in Coach. This release will give you a team-wide view
We've had a busy start to 2026! We wrote a full roundup, click the button below to read more.
Up until now, any new phrase tags were only added to interactions that occurred after the tag was created or
"The anomaly feature is a game changer for us. It’s highly accurate and has helped us identify customer issues, agent errors, and even fraud that would have taken us longer to catch."
"We thought at the time that we were putting the customer at the fore. We thought we were doing things right. But in hindsight, we really weren’t because we had no real-time insights whatsoever into customer issues."
"We now have highly detailed understanding of agent performance, not just on key agent metrics, but also on how customers react to our agents and the emotions of our customers feel when talking to our team."



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