Cutting Through the AI Noise with Aaron Cannon, CEO & Co-Founder at Outset
Oct 10, 2024•26 min•Ep. 59
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Episode description
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:
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.
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