Running research at scale is one thing. Turning it into decisions that teams actually act on? That’s another.

Join Mamie Dayan Vogel (Affirm) and Katie Rudnick (Dscout) for a behind-the-scenes look at a 1,500-participant study on sensitive financial behaviors, without losing the human story. You’ll see how Affirm paired quant scale with qual depth, collaborated across teams, and used Dscout AI to move faster while staying thoughtful.

Curious whether large-scale research can truly shape product and strategy? This session shows what it takes.

The two discuss how...

• Affirm pulled off a massive qual and quant study without losing momentum
• They aligned stakeholders across product, design, business intelligence, and sales, connecting the quant benchmarking data teams rely on with the qualitative stories that explain the why
• The team used Dscout's AI features to speed up and strengthen analysis
• One study became a living research asset the whole org continues to use