This session offers a behind-the-scenes look at how we built AI-powered open-end coding tools at Amazon - covering what worked, what didn't, and the two-pronged solution that will make open-end analysis accessible across research teams. Walk away with a practical framework for building AI open-end analysis tools that scale across your research organization.
Key Takeaways:
1. AI unlocks hidden value in open-end data when paired with the right prompting strategy
2. Achieving accurate open-end coding demands iterative testing, QC, and continuous refinement
3. AI-powered coding tools can bring efficient, cost-effective open-end analysis to every researcher
