Using AI for Smarter, Faster Product Research | Interview with Axel Thomson, Wondering
In episode 13 of Brilliant’s AI for UX video series dedicated to emerging AI tools for UX research, we interviewed Axel Thomson, Founder at Wondering. We 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.
“We can help [answer product questions] really quickly because the methods that we use are really fast to deploy. ”
Wondering is an AI-enhanced tool designed to automate user interviews, surveys, and concept tests while also facilitating efficient participant recruitment and data analysis. Axel emphasized how research speed and ease can transform product research.
Key topics and takeaways from this AI 4 UX conversation include Axel’s perspective on:
Streamlining Traditional Research Processes: Leveraging AI’s ability to transcribe, understand, and generate relevant follow-up questions to make insight gathering easier and faster.
Facilitating Multilingual UX Research: The unique capabilities of AI in facilitating multi-language interviews.
Challenges and Solutions in Participant Recruitment: How Wondering addresses the challenge of recruiting niche audiences by integrating with third-party panels and allowing in-product recruitment.
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“AI 4 UX” is a space to consider the future of user experience (UX) research with artificial intelligence (AI), brought to you by Brilliant. Join us as we interview leaders and founders of some of the most popular AI tools for UX research. Learn more about Brilliant’s AI 4 UX series.
