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’ve made it easier than ever to save and apply your favorite filter and chart settings on the Explore screen! Instead of manually re-entering filters and adjusting charts each time, you can now save your preferred setup as a "Preset"—allowing you to quickly switch between different data perspectives and track trends without extra effort.

This preset helps track interactions lasting over 30 minutes, broken down by region on a weekly basis.
4. Break Down by Region – Add a breakdown by Region so the data is segmented accordingly.
5. View the Chart – You will now see a chart displaying interactions that lasted more than 30 minutes, categorised by region over a weekly basis.
This preset helps analyse where customer frustration is highest—calls, emails, or chats, over a weekly period.
Track how different teams are performing on NPS without rebuilding reports. Save a preset like “NPS by Team” to instantly spot trends, identify issues, and coach teams accordingly.
Monitor brand performance by creating a “Weekly Interactions by Brand” preset. This helps detect customer contact trends and identify what’s driving spikes.
Interactions per Brand for a Specific Team
For teams handling multiple brands, create a “Brand Interactions – [Team Name]” preset to compare how each team is managing conversations.
With Presets, you can spend less time setting up filters and more time acting on insights. This feature is available to all WatchTower users.
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
"You’ve got an issue, but you don’t know how many people are affected. You don’t know the scale. You don’t even know if it’s real."
"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."
"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."



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