Quantify impact without an A/B test
Company: Stripe
Role: Data Scientist
Category: Analytics & Experimentation
Difficulty: medium
Interview Round: Technical Screen
Overview: Design an analysis that estimates the causal revenue lift of a payment-success change already live for merchants in one region, with no A/B test, one week and six analyst-hours. Pick one identification strategy, handle seasonality, holidays and merchant selection, and set a ship, roll back or iterate rule.
Read the full Stripe Data Scientist interview experience this question came from