te

First, we’re looking for diverse panel candidates – Academics, Clients, Suppliers and Vendors – who bring hands-on experience evaluating, testing, or using synthetic data. 

Candidates must: 

  • Be able to share strengths and limitations of synthetic data (i.e. not total evangelists nor outright detractors)
  • Share best/worst use cases
  • Share results from real-world experimentation and evaluation
  • P&G alumni are preferred but not required 

Second, we’re building a curated resource library on Synthetic to share with alumni – articles, research papers, validation studies, case studies, posts, examples of successful (or unsuccessful) applications. We’ll provide a big-picture summary of key learnings in the session, and make them available to the alumni community.

If you have panelist recommendations or articles/resources to share, please send to Jeff Goldstein at pgalumni.insights@gmail.com 

Thank you for helping us create a practical, evidence-based discussion on one of the most important emerging topics in insights and analytics!

Ashley Daisley
Signal vs. Noise: How Leaders Cut Through Trend Chaos
A practical framework for distinguishing meaningful consumer insights from distracting trends, featuring the CAMP model used by Tide North America’s Front-End Innovation team.

Robyn Bolton
How Insights-Driven Culture Change Delivered 4x Growth
A case study in using customer insight and cultural transformation to accelerate growth goals in a constrained, high-pressure environment.

Claire Miller
No Big Budget, No Problem: Scaling a $100M Idea
How curiosity, direct conversations, and rapid learning helped launch and scale a rideshare-for-kids business with purpose and speed.

Enjoyed this session?
Stay connected to future conversations, case studies, and alumni-led learning opportunities.

Save the Date: I&A Webinar – October 7, 11:30 ET

Join Mitch Barns, former Nielsen CEO, who has served on 7 research firm boards (42 cumulative years!), as he shares his journey and lessons in human insights, measurement, and data analytics.

Details coming soon.