The secret to leveraging real value from AI in qualitative research is thinking like a user, not an investor—and discerning the data. 

In this episode, we’re joined by Aaron Cannon, CEO & Co-Founder at Outset, as he explores how AI can eliminate the trade-offs between depth and speed in qualitative research to gather richer, more actionable insights at scale—without the traditional time and cost limitations.

We also discuss: 

• How to avoid common pitfalls in AI adoption by focusing on user needs and real-life applications.
• The importance of thinking iteratively and adapting as research progresses.
• How to balance depth and scale when conducting research.
• The power of mixed-methods research + how AI can enhance both qualitative and quantitative approaches.