New Emotion: We can now detect Agent Empathy automatically
Our new detection model highlights moments where agents show genuine understanding and emotional intelligence, giving teams a new way to
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.
Our new detection model highlights moments where agents show genuine understanding and emotional intelligence, giving teams a new way to
We’re excited to launch the new Customer Overview screen in WatchTower, designed to give you a complete, AI-powered view of
We’re excited to announce that the EdgeTier API is now available for customers who want to send interaction data directly
"The average response time for post-booking type emails is about five hours. Previously, it was over 24 hours."
"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."
Let us help your company go from reactive to proactive customer support.
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