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Qualitative Analysis

A Smarter Way of Quantifying Words

Kai Analytics conducts text analysis using Natural Language Processing (NLP) technologies and generative large language models. 


NLP is a systematic process of breaking down human thoughts into a format a computer can understand. Simply put, NLP is a smarter way of quantifying words which allows us to analyze qualitative data quickly and efficiently. After the technological components of the process are complete, our team interprets the results, carefully balancing both the art and science of human insight.  

Key Features

Thematic Extraction

Our custom-built models effectively categorize customer feedback responses into

actionable themes.

Sentiment Analysis

Quantify the qualitative. We breakdown raw comments into a measurable polarity between 0 (dislike) and 100 (love).


Customer segments often yield important differences. We cross-compare results across social-demographic customer profiles.

Want To Learn More?


Consider downloading our Beginners Guide to Qualitative Data Analysis, which will provide you with tips on how to analyze open-ended questions on your survey!

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Top educational institutions use Kai Analytics to make sense of their data. Discover how we helped them move forward.

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