Conversational data at the speed and scale of a survey using AI | Interview with Aaron Cannon of Outset
In episode 05 of Brilliant’s AI for UX video series dedicated to emerging AI tools for UX research, we interviewed Aaron Cannon, CEO and Co-Founder at Outset.ai. Aaron discusses the transformative power of AI in UX and Product Discovery research and his vision to harness the best features of qualitative and qualitative research into a single study.
“Imagine the power to understand hundreds of user experiences across languages and segments, at the depth of one-on-one interviews. That’s the change Outset AI brings to UX research.”
Aaron introduces Outset, a tool designed to automate and scale qualitative UX research by using AI to conduct and synthesize interviews across a wide array of participants simultaneously. He shares his vision for integrating AI more deeply into research methodologies and hints at a future where AI tools not only collect and analyze data but also enhance understanding of human behaviors and preferences in novel ways.
Key topics and takeaways from this AI 4 UX conversation include Aaron’s take on:
AI as a Tool for Qualitative Research at Scale: How Outset aims to address the traditional trade-off between breadth and depth in research methods by allowing for qualitative, conversational data collection at the speed and scale of surveys.
Large Language Models as Effective Question Askers: The integration of AI not only as a data collector but also as an intelligent questioner and synthesizer.
Transformation of the UX Researcher Role: The potential to shift toward more strategic, interpretive tasks, leveraging AI for data collection and preliminary analysis.
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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.
