The Future of UX Research? AI-Powered Cohorts, Comparative Analysis & Insights | Interview with Alok Jain, Reveal
In episode 14 of Brilliant’s AI for UX video series dedicated to emerging AI tools for UX research, we interviewed Alok Jain, CEO at Reveal. He 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.
“[Reveal] changes the way we interact with the interview data itself. It allows us to both go deeper, as well as explore multiple perspectives. ”
Reveal is an AI-powered tool that streamlines qualitative research by transcribing, analyzing, and synthesizing interview data. Reveal facilitates detailed comparative analysis of responses across different demographic groups or cohorts.
Key topics and takeaways from this AI 4 UX conversation include Alok’s take on:
Accelerating Data Processing and Analysis: How Reveal can reduce the time needed for data analysis, allowing iteration and refinement based on real-time feedback.
Trust and Verification: The importance of traceability and verification of AI-generated insights, ensuring researchers can trust and validate the findings.
Comparative Analysis and Cohort Insights: How Reveal facilitates detailed comparative analysis of responses across different demographic groups or cohorts.
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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.
