Alexis White, Research Lead at Knit, explores how AI doesn't replace insight storytelling—it makes it possible at scale. Walking through a real, end-to-end research project, Alexis demonstrates how researchers use AI to surface patterns, tensions, and moments of truth across quantitative data and rich video responses, while retaining the human judgment required to interpret what actually matters.
February 5, 2026
AI isn’t here to replace researchers. It’s here to help scale insight-driven storytelling. In this session, you’ll walk through a real, end-to-end study to see how researchers are using AI to uncover patterns, tensions, and moments of truth across quant and video data, while keeping human judgment and empathy at the center.
You’ll explore how AI can accelerate analysis without losing nuance, connect quantitative and qualitative inputs in more meaningful ways, and give researchers more time to focus on interpretation and influence. This is a practical look at how AI can support—not replace—the craft of insight storytelling.
If you're working with complex, mixed-method research and want to build stories that resonate, this session will provide you with a clear framework to turn raw data into decision-ready narratives.
What You’ll Learn: