Ben Hookway, CEO at Relative Insight, shares a comparative linguistics approach that delivers clear, evidence-based metrics that support decision-making by analyzing open-ended NPS responses.

This guide highlights the essential AI research skills for 2025, practical applications of AI, and key considerations to help UX professionals excel in this rapidly evolving field.

Jonathan Fairman, VP of Product at dscout, emphasizes how AI tools integrated into dScout help researchers handle the overwhelming amount of data from diary studies or large research projects efficiently.

Michael Bamberger, Founder at Tetra, explains how AI tools like Tetra are automating insights, leveraging organic data, and enabling faster, more explorative research workflows across an organization – freeing up time for creative human research and amplifying the impact of UX research.

 Kathryn Topp, CEO and Founder at Yabble, discusses how AI tools are impacting UX research and consumer product innovation by accelerating insights, enabling rapid product iteration, and uncovering emerging trends like the convergence of physical and digital experiences.

Jack Bowen, Founder at CoLoop, discusses the future of qualitative research and how Coloop uses AI to elevate research processes without taking over.

Tash Ahmed, co-founder at User Evaluation, discusses how AI tools are enhancing insight generation for UX research and product discovery, significantly reducing analysis time, and addressing trust issues with AI-generated analysis.

Chad Reynolds, CEO at Vurvey, shares how the tool enhances UX research and product development with scalable insights, AI Agents for analysis, and on-demand consumer interactions. 

Arnob Mukherjee, Co-Founder at Olvy, discusses how AI tools like Olvy are allowing product teams to dramatically increase the number of evidence-based decisions they make by analyzing multiple data streams at once.

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.

Philip Brook, Co-Founder at Voiceform, on how AI can make surveys more interactive, enabling researchers to quickly analyze data and summarize participant responses and follow up on those responses to gather deeper insights.

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.

Alok Jain, CEO at Reveal, discusses how AI can streamline the data analysis process and provide verification mechanisms that make it easier for researchers – and product teams – to trust AI-generated insights.

Axel Thomson, Founder at Wondering, joins us to explore how AI tools are offering innovative real-time AI capabilities that empower product teams to dramatically accelerate their work, drive efficiency, and learn more from every participant.

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.

Moodi Mahmoudi, Co-Founder and CEO at Next, discusses how the AI-powered product discovery platform helps everyone from executives and product teams validate day-to-day product decisions and big-picture ideas with customer insights.

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.