In our AI vs. Human series, we've discussed in detail how AI tools compare to human research at each phase of a generative qualitative interview study. Read on to explore our key learnings from this research and how AI stands to impact UX research going forward.

A variety of AI tools can be leveraged to create experience maps, from general AI tools that can help with data synthesis and copy to design tools that can put the content into a visual format.  In this post, we share findings from our head-to-head comparison of these tools and human researchers when it comes to creating useful experience maps.

Brilliant tested the limits of both human researchers and AI tools (and combinations of the two) in creating personas. In this post, we continue to share findings from the synthesis phase of our AI vs. Human study, focusing this time on how and when to involve AI in persona creation.

In this post from Brilliant’s head-to-head study comparing the effectiveness of AI tools and human UX researchers throughout the generative research process, we’ll delve into our findings from the synthesis phase, starting with our experience generating key insights from the data in each condition.

During our AI vs. Human research study, we tested a number of AI-infused platforms, some which acted as a qualitative moderator and some which promised an alternative to human data collection altogether by generating simulated transcripts of qualitative interviews. Join us as we uncover where AI excels in the data collection process for qualitative interview studies in our latest deep dive.

Researchers now have the opportunity to leverage AI tools for several study planning tasks including desk research, workshop planning, study brief and protocol drafting, interview guide creation, and recruiting screener development. Part 1 of the AI vs. Human series delves into findings on the study planning phase from our empirical study comparing the effectiveness of AI models and human researchers in conducting qualitative interviews.

Download the executive summary of our empirical study exploring how AI tools measure up to human-led research — and get exclusive insights on applying AI in your UX and product research.