Increasing the Impact of UX Research with AI-Powered Insights | Interview with Michael Bamberger, Tetra
In episode 21 of Brilliant’s AI for UX video series dedicated to emerging AI tools for UX research, we interviewed Michael Bamberger, Founder at Tetra. Michael 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.
“Now a byproduct of your daily business operations is creating non-synthetic, organic data.”
Tetra is an AI-powered research platform designed to make qualitative research more efficient by streamlining the research process, increasing the scope of data collection and automating analysis and insight generation.
Key topics and takeaways from this AI 4 UX conversation include Michael’s take on:
Automation Amplifies Human Work: AI as a resource to make researchers more effective, speeding up data processing and allowing them to focus on more complex, strategic tasks.
Organic Data as a Valuable Resource: How Tetra enables companies to gather insights from organic, day-to-day interactions, reducing the cost and time of conducting research.
AI as a Reliable Research Collaborator: With advanced AI features, Tetra helps researchers conduct deeper analysis and allows users to query large data sets instantly, making research more explorative.
Watch the full conversation on YouTube
Join our e-newsletter or subscribe to our YouTube channel for upcoming episodes and more #AI4UX content.
“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.
