TextAI helps teams turn open-ended feedback into structured, actionable themes. By selecting a source such as a survey, Customer Experience project, Employee Experience project, or dataset, you can create a TextAI dashboard that applies topic modeling to qualitative responses and highlights the patterns that matter most.
The setup flow lets you define the dashboard goal, choose an output language, generate or upload a codebook, select the questions to analyze, and provide question-level context for more accurate results. This helps product, research, customer experience, and employee experience teams organize large volumes of text feedback without manually reading and tagging every response.
Watch this video for a quick overview of Advanced Text Analytics in TextAI:
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Which languages can I use for TextAI results and response translation?
TextAI offers 108 output-language options for themes and sub-themes. These include English, Spanish, Portuguese, French, German, Arabic, Chinese, Japanese, Hindi, and many more. During dashboard creation, choose your preferred language under Themes and sub-themes. Enable Also translate verbatim if you also want response text translated into the selected output language.
Which data sources can I use to create a TextAI dashboard?
You can select Surveys, Customer Experience, Employee Experience, or Datasets as the source for the open-ended responses you want to analyze.
Do I have to generate a new codebook for every dashboard?
No. You can generate a codebook with QuestionPro AI, upload a codebook using the template file, or reuse an existing report codebook. Select the option that matches your setup during the Model set up step.
How many questions can I select, and when should I create separate dashboards?
TextAI supports selecting up to 30 open-ended questions during dashboard creation. Select the eligible questions from your chosen source and provide question-specific context. Enable Create a separate dashboard for each question when the questions cover unrelated subjects and need separate analysis contexts.
This feature is available with the following licenses :
Research Edition Communities Customer Experience Employee Experience University - Research Edition