I'm Jonathan—PhD Economist from University of Michigan. I went 12 for 13 in technical case study rounds, with 8 for 8 on final offers at companies like Amazon, Uber, Stripe, Airbnb, and Twitter. Most recently, I've passed Staff DS case study rounds at Netflix and Meta (interviews ongoing as of this course launch). My clients have landed offers at Meta, Google, Uber, Airbnb, TikTok, Snap, Etsy, Discord and more—from junior through staff levels. They consistently report that deep product sense was their key differentiator—helping them identify interesting metrics, design experiments, and apply appropriate causal inference methods. This framework teaches the systematic approach I used: Product Sense (understanding trade-offs and who's affected), Metrics (the four types that matter), and Measurement Strategy (vanilla A/B testing through geo-clustering and observational causal inference). 85 minutes of video training covering experimentation and causal inference case study strategies.