Ex-Google UX Researcher Tests AI Thematic Analysis on Glassdoor review data with 10k reviews

This is a 10 minute edited version of the original live demo. To watch it in full please visit Andrea's channel:    • AI & UX Demo: AddMaple  

How can you tag open ends with relevant thematic tags per respondent in one go? Andrea Knight Dolan, an ex-Google UX researcher, and AI research consultant at Informed Insights, takes a hands-on look at AddMaple’s AI text analysis capabilities. She shares how she's used AddMaple to analyze text with supermarket mentions in Spanish, and how she was able to extract the supermarkets, and then tag each mention by brand, to understand the frequency of mentions, all in Spanish.

On the quant side, see how AddMaple processes over 10,000 rows of employee review data in seconds, pivoting every column to give the researcher instant data summaries. You see how it applies thematic codes at the respondent level to open-ended responses row-by-row. And you see how the researcher can edit codes and use their own codes. You also see that AddMaple supports statistical significance testing between all columns to highlight patterns.

If you’re curious about how AI can enhance your research workflow, especially for text analysis for themes, emotion, user intent, sentiment and more, this demo will show you can enhance your data analysis work flow. Designed for researchers, analysts, and teams who need reliable insights fast, AddMaple makes text analysis straightforward and actionable.

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