Meta Analytics & Experimentation Interview Questions
Meta Analytics & Experimentation interview questions target your ability to turn ambiguous product problems into rigorous, measurable experiments and clear business recommendations. What’s distinctive is the emphasis on experimentation as an operational engine: interviewers probe experimental design (unit of randomization, interference, power and MDE), metric definition and guardrails, causal reasoning, and how model or ranking changes feed back into metrics. Expect case-style analytical execution rounds where you diagnose metric shifts, design A/B tests, identify biases or data-quality issues, and justify trade-offs between short-term engagement and long-term value. For interview preparation, practice end-to-end problem solving: define primary and guardrail metrics, compute power, choose randomization units, and explain data requirements and potential pitfalls. Refresh core statistics and experimentation concepts, and be ready to show SQL/Python fluency for data exploration while communicating results succinctly to product and engineering partners. Behavioral storytelling about ownership and collaboration is also evaluated, so prepare concise examples that tie technical impact to product outcomes.

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"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."
"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."
Interpreting confidence intervals to choose a treatment
Feed-ranking Tweaks: Interpret Confidence Intervals and Choose a Treatment You ran online experiments for three feed-ranking tweaks. The primary metri...
Expected impressions per user under random assignment
Random Assignment of Ad Impressions Across Users In an A/B experiment, Y ad impressions are served uniformly at random across X distinct users. Each i...
How would you validate a driving simulator’s realism?
You work on autonomous driving evaluation. You have two datasets for the same set of driving scenarios: - Real-world logs collected from vehicles (gro...
Evaluate new shop-ads ranking algorithm
You work on a marketplace with shop ads. A new ranking/recommendation algorithm is proposed to promote shop ads more aggressively, but stakeholders ar...
Define and estimate prevalence of unhealthy users
Using the same Oculus tables (user_activity, apps), you’re asked: Question “How common are unhealthy users?” Task 1) Propose a concrete, measurable de...
Estimate Instagram Shopping Feature's Revenue and Test Impact
Estimate Instagram Shopping Feature's Revenue and Test Impact Instagram Shopping: Sizing, Experiment Design, and Troubleshooting Context Instagram is ...
Convince PM to Implement Duplicate Observation Tool
Convince PM to Implement Duplicate Observation Tool Scenario Meta is considering building a Duplicate Observation Tool (DOT) to detect malicious copy‑...
Design an A/B test for non-friend posts
Design an A/B test for non-friend posts Experiment design question A social network launches a new feed feature: users can now see some posts from peo...
Define metrics for high-quality notifications
Define metrics for high-quality notifications Context You are a Data Scientist partnering with a product team at Facebook/Meta that owns push/in-app n...
How to decide if users need a new feature
You are a Data Scientist at a social app. The product team proposes a new in-app feature (e.g., a new sharing surface). You have event-level data and ...
How to evaluate Shop ad upranking
Meta is considering ranking Shop ads higher on its consumer surfaces so that users can complete purchases inside Meta Shops instead of being sent to a...
Analyze Data to Boost Group Post Comment Rates
Analytics Plan to Increase Group Post Comment Coverage A social shopping platform wants to increase the percentage of group posts that receive at leas...
Design Experiment to Evaluate New Video-Ad Effectiveness
Design an Experiment to Evaluate New Video-Ad Effectiveness A large consumer app is considering a new video-ad format with changes to UI, creative ren...
Track Success and Guardrail Metrics for Push Notifications
Track Success and Guardrail Metrics for Push Notifications You are designing and evaluating a new push-notification feature for a travel-recommendatio...
Run a clean A/B test for recommendations
You must run an A/B test to evaluate the new hashtag recommender starting on 2025‑09‑01. 1) Define the randomization unit (user/session/impression) an...
Design and analyze a group-calls experiment
You are considering launching Group Video Calls. Answer all parts precisely; justify choices with pros/cons and formulas where relevant. 1) Clarify CT...
Design B2C chatbot success metrics and test plan
You own 'euro-chat', a B2C customer-support chatbot that aims to deflect agent contacts while preserving customer satisfaction. Design a rigorous succ...
Design experiment with network and novelty effects
Experiment Design: New Calling Feature with Network Interference and Novelty Effects Context: You are launching a new calling feature on a large socia...
Prove source growth is cannibalization, not incremental
Causal Analysis Design: Is Web Growth Incremental or Cannibalization? Background You observe that revenue attributed to creation_source = "web" is hig...
Design experiment for Group Calls with interference
Design an Experiment for Group Calls in a 1:1 Calling App (with Network Interference) You are adding a Group Calls feature to an existing 1:1 calling ...