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 our next Applied Research Session, Research Partner Amanda Chang will walk 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’ll show 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. You’ll walk away learning:
- Why single-source research leaves gaps, and how a multi-agent setup closes them without weeks of manual cross-referencing.
- How to read the signals and what a trustworthy output looks like.
- Guardrails that keep it credible, including independent sources, spot-checks against raw records, and a mandatory human review.
- How to plug triangulated insights into team workflows, from a shared Slack digest to roadmap reviews with evidence already attached.
Reserve your spot today.
Format: 35-minute presentation with live Q&A.
Any questions? Email us at events@sprig.com
