Changelog

Updates and improvements to CustomerIQ

July 30, 2024

Updated AI Discovered Themes

Updated AI Discovered Themes

We have been using this update internally the last few days, and we're biased, but it's a game-changer.

Now, when you click "Start discovering" in a view you'll find the AI generated tags to be faster, more intuitive, and more accurate.

This is amazing for understanding things like:

  • What are the top feature requests among all sales calls in the last 30 days?
  • What are the biggest themes in our support tickets?
  • What are the most popular questions asked by customers?

If you're curious, here's how it works:

  1. Cluster highlights: We've spent a lot of R&D hours developing hyper scalable clustering models to help teams big and small understand their prospects and customers. These models scale from 10s of records to 10s of thousands.
  2. Test optimal clusters: What's especially unique about our approach compared to competing products is our algorithm finds the optimal number of clusters in a data set automatically. So depending on your data set you may have 3 themes or 30. CustomerIQ finds the perfect match automatically. 
  3. Name clusters: After finding the optimal clusters, CustomerIQ leverages cutting edge LLMs like GPT-4o to name each cluster. What's unique about our approach is we also feed the LLM context gathered about your company, so the cluster names are pertinent and helpful.

Of course, this is all just educations. All of this happens in seconds automatically after you click "Start discovering" from your views.

Get started with CustomerIQ

To get started discovering themes in your product feedback, support tickets, or sales calls:

  1. If you haven't already, sign up for a free CustomerIQ workspace here.
  2. Connect an integration via native integrations or Zapier. If you connect via Zapier, you will see trends after 1 day of data is created. Native integration will pull the past 30 days.
  3. Build a view and click "Start discovering"

Want a quick tour? Book a demo today.

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