dscout + AI: Smarter, Faster, and More Human-Centric Research | Interview with Jonathan Fairman
In episode 22 of Brilliant’s AI for UX video series dedicated to emerging AI tools for UX research, we interviewed Jonathan Fairman, VP of Product at dscout. Jonathan emphasizes how AI tools integrated into dscout help researchers handle the overwhelming amount of data from diary studies or large research projects efficiently.
“AI isn’t here to replace researchers; it’s here to amplify their impact and efficiency. ”
dscout is a research platform designed to help UX teams efficiently recruit participants, execute mixed-method research, and leverage AI to streamline analysis and oversight.
Key topics and takeaways from this AI 4 UX conversation include Jonathan’s view on:
AI to Streamline Research Analysis: How AI tools integrated into dscout help researchers handle the overwhelming amount of data from diary studies or large research projects efficiently.
AI-Assisted Moderation and Contextual Follow-Ups: Experimenting with AI that can analyze what is happening on the participant’s screen in real-time and ask targeted follow-up questions, mimicking a human moderator’s instincts.
Enhancing Human Expertise Rather Than Replacing It: dscout’s philosophy to augment and support researchers, providing tools that ensure researchers' domain expertise remains central to interpreting and validating findings.
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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.
