EdgeTier is now in Claudeās connector directory
EdgeTier is now listed in Claudeās connector directory so you can connect from there in a couple of clicks instead
We've enhanced our emotion and sentiment detection by adding a powerful new feature that identifies Customer Confusion in messages. This new emotion detection mode automatically flags messages where customers express confusion about products, processes, or solutions provided by agents, eliminating the need for manual tag setup.

In addition to Frustration, Gratitude, and Praise, our platform now detects Customer Confusion in messages, providing a powerful way to identify these problematic interactions without the need for manual tag setup.
With our new Confusion emotion detection model, we look for signals where customer messages indicate confusion about a product, process, or serviceāor when customers donāt understand the solutions offered by agents. Previously, customer service teams relied on manually defined phrase triggers to track confusion, which requires ongoing maintenance and often misses some nuance.
Our automated emotion detection replaces manual efforts by intelligently recognising language patterns that suggest confusion, such as:
Customer service teams then gain real-time visibility into unclear communication. This allows them to:
Overall, this enhancement enables a clearer understanding of where customers struggle most in their interactions.
Use the āConfusion > has confusionā filter on the Explore, ExploreTags, or Agents screens to find conversations where we have detected confusion.
Look for the new confusion icon in the Emotion column or filter results further using the Emotion dropdown.
The confusion icon will highlight messages flagged as confusing. Click the icon to manually apply or remove confusion from any message.
A new column on the Sentiment tab on the Agents or Explore Tags screens includes confusion metrics so you can see the percentage of conversations with confusion detected broken down by tag group.
EdgeTier is now listed in Claudeās connector directory so you can connect from there in a couple of clicks instead
You can now see how every scorecard question was scored across a review period, so you can spot knowledge gaps
Every agent who touches a conversation gets tracked against it now, and you can widen filtering and reporting to match,
"Youāve got an issue, but you donāt know how many people are affected. You donāt know the scale. You donāt even know if itās real."
"It has reduced the time for the quality assurance process as it provides clear data and a very robust direction on where to look and what matters the most."
"The anomaly feature is a game changer for us. Itās highly accurate and has helped us identify customer issues, agent errors, and even fraud that would have taken us longer to catch."



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