Quickly compare QA scores by Reviewer or Agent Group
The Coach Reviews heat-map previously only broke scores down by individual agent. It can now be grouped by reviewer or
We’re upgrading parts of our analytics storage from PostgreSQL to ClickHouse, a high-performance OLAP database. This change makes filtering interactions, viewing custom charts, testing phrase tags, and other analytics noticeably faster—while keeping your data exactly where it is and just as secure as before.
This upgrade applies to all customers using WatchTower, across both EU and US regions.
Please contact your Customer Success Manager with questions about how this upgrade benefits your specific setup.
The Coach Reviews heat-map previously only broke scores down by individual agent. It can now be grouped by reviewer or
Ask Spotlight is getting smarter and easier to share. Three updates are landing together.
Agents can now formally respond to reviews they disagree with, and QA teams have a structured way to manage and
"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 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."
"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."



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