AppliedAIPrep logoAppliedAI/Prep
← Machine Learning & Data Science / 115
hardUberMetaAirbnb

Your A/B test has interference between users (marketplace, social network). Why does it bias results and how do you fix it?

Standard A/B math assumes one user's treatment doesn't affect another's outcome. In marketplaces and social networks that assumption breaks and your estimate is biased. The signal is naming SUTVA and the right randomization unit. Here is the answer.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

Standard A/B math assumes one user's treatment doesn't affect another's outcome. In marketplaces and social networks that assumption breaks and your estimate is biased. The signal is naming SUTVA and the right randomization unit. Here is the answer.

Unlock the other 750 answers · ₹2,000 / $25Your progress and mastery stay saved · 6 months · one payment · no auto-renew
UP NEXT ON YOUR JOURNEY
Next in this trackExplain the Kalman filter and state-space models. What are the predict and update steps actually doing?Next in this trackHow does Prophet (and decomposable forecasting) work, and when does it beat or lose to ARIMA and gradient boosting?Next in this trackHow do you build anomaly detection for a streaming time series, and how do you handle seasonality and concept drift?
DISCUSSION · 0

No comments yet — be the first to share your approach.