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Cutting Through the AI Noise with Aaron Cannon, CEO & Co-Founder at Outset

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Manage episode 444433275 series 3362443
Content provided by Stravito. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Stravito or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
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.
  continue reading

75 episodes

Artwork
iconShare
 
Manage episode 444433275 series 3362443
Content provided by Stravito. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Stravito or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
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.
  continue reading

75 episodes

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