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Cutting Through the AI Noise with Aaron Cannon, CEO & Co-Founder at Outset
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Stravito द्वारा प्रदान की गई सामग्री. एपिसोड, ग्राफिक्स और पॉडकास्ट विवरण सहित सभी पॉडकास्ट सामग्री Stravito या उनके पॉडकास्ट प्लेटफ़ॉर्म पार्टनर द्वारा सीधे अपलोड और प्रदान की जाती है। यदि आपको लगता है कि कोई आपकी अनुमति के बिना आपके कॉपीराइट किए गए कार्य का उपयोग कर रहा है, तो आप यहां बताई गई प्रक्रिया का पालन कर सकते हैं https://hi.player.fm/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:
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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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