Want to see how we do chatbot analytics? Join us for a product demo webinar.

Webinar on-demand

What you will learn

  • AI-based technology that automatically extracts and categorizes topics from customer conversations
  • Assigning poorly handled topics to existing intents in one click, for additional NLU retraining
  • Predictive intent discovery to identify and recommend new topics
  • Create a worklist for NLU trainings, using actual customer data
  • Daily intent discovery that captures new and trending topics as they emerge

The faster you can find the conversation topics that your virtual agent isn’t trained for, the more successful you will be in improving the VA’s ability to handle customer inquiries.

Let’s be honest, getting your virtual agent into production was a lift. You invested a ton of time getting it launched, and now six to twelve months in, there is an underlying expectation that it will always know the exact right things to say. But, that’s not always the case. Customers phrase questions in ways the bot doesn’t recognize, they ask about new products, or there’s updated messaging that the bot hasn’t yet been trained for.

One of the hardest jobs as a chatbot owner is finding and making sense of customer conversations that didn’t go as planned, and then figuring out whether it’s a matter of improving the NLU, or creating new intents to handle the range of inquiries.

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