🕑 Build a Text iQ Model with Qualtrics Prebuilt Topics | 2-Minute Tips | September 02nd 2025 | XM Community
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Get started with Text iQ by leveraging Qualtrics' pre-built topic models. This tip is especially useful for those who want to analyze open-ended feedback efficiently and effectively.

 

 

FAQ for Building a Text iQ Model

 

What is a Text iQ pre-built topic model?

Qualtrics provides pre-built topic models for various industries, such as Airlines, Government, and Retail Banking. These models come with a set of pre-defined topics and sub-topics that you can use as a base for your own analysis. This saves you the time and effort of building a topic model from scratch. For more information on Text iQ, you can visit the Qualtrics support page on Getting Started with Text iQ.

How do I access and use a pre-built topic model?

You can access Text iQ from the Dashboards page by clicking on the magnifying glass icon. After selecting your open-ended text question, click on "Import topics" and then "Select a Qualtrics topic library." From there, you can choose the library that best fits your needs, preview the topics, and import them into your project. You can find a detailed guide on this process on the Qualtrics support page for Using Pre-Built Topic Models.

Can I customize a pre-built topic model?

Yes! The pre-built model serves as a foundation. Once you import a topic library, you can select or deselect topics and sub-topics to better fit your specific analysis. This allows you to tailor the model to your unique data while still benefiting from the pre-built structure.

How can I use the analyzed data from Text iQ?

After your comments are categorized, you can analyze them through the Text iQ interface. You'll find tools like a bubble chart that visualizes sentiment and topic frequency, as well as comments filtered by specific topics. A best practice is to aim for 80-85% of your comments to be categorized. This data can then be leveraged within your dashboards and widgets to incorporate open-ended feedback alongside other data. To learn more about this, see the support page on Understanding the Text iQ Analysis Page.

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