The Triangulation Squad: Multi-Agent AI For a Fuller Picture of Your Users

Assemble your AI squad for a fuller picture of your users.

Every data source has a blind spot, but most teams work from one source since cross-referencing by hand takes weeks. 

In this on-demand webinar, Research Partner Amanda Chang walks through a multi-agent approach to triangulation: one AI agent per data lane, with a coordinating agent that surfaces where sources agree, where they conflict, and what shows up in only one place. Using real-world examples, she shows how a triangulation deep dive that once took weeks can be done in an hour, while researchers stay in control of every finding that gets shared.