![]() ![]() ![]() In addition to session transcripts, they can also analyze researchers’ notes. The tool can then recommend tags for the thematic analysis of the data. Like insight generators, collaborators can absorb your text data and produce insights.įor instance, researchers can show the AI some human-generated codes to “train” it. (Researchers may work around these limitations by uploading background information and their own session notes as separate assets to add to analysis, but these might be treated as different sources instead of session-specific information, whereas human researchers could easily combine the two.) AI CollaboratorsĪI collaborators are like insight generators, except that they can accept some contextual information from the researcher. They also cannot take advantage of findings from previous studies. You can’t give them background information about the product or about the users. This ends up being a big problem because, unlike human researchers, these tools can’t factor in context. These tools don’t accept other types of information from the researcher. ![]() AI Insight GeneratorsĪI insight generators summarize user-research sessions based solely on the transcripts of those sessions. They both can be used to summarize transcripts of qualitative-research sessions. There are two types of AI-powered tools we currently see on the market: Note that we won’t mention any of the tools by name, because we hope that they will learn from their mistakes and improve in the near future. In this article, we present the results of our evaluation. We evaluated four new AI-powered UX-research tools. Right now, however, you should be careful when considering a subscription to one of them. It’s likely that, in the future, AI-powered user-research tools will become much better at delivering on these kinds of promises. If these claims sound too good to be true, it’s because they are. “Our tool can analyze data from any kind of user-research method, including usability testing!”.“AI has no bias! Reduce bias in your research!”.“We’ll do your research analysis for you! No need to analyze or tag your data.”.The marketing descriptions of AI-powered tools for UX research make big claims, like: New AI tools of all kinds are entering the marketplace, eager to capitalize on the interest sparked by ChatGPT. ![]()
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