How do I approach Analytics & Experimentation interview questions?

Analytics & Experimentation questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master analytics & experimentation interviews.

What difficulty level is this interview question?

This is a hard difficulty Analytics & Experimentation question, commonly asked during Onsite rounds at Meta.

What role is this question designed for?

This question is commonly asked for Data Scientist candidates at Meta during technical interviews.

Determine Success Metrics for New Group Video-Call Feature

Last updated: Mar 29, 2026

Quick Overview

This question evaluates a data scientist's competence in product analytics, experimentation design, instrumentation and metric definition, including trade-off analysis between user satisfaction, call quality, concurrency and infrastructure cost within the Analytics & Experimentation domain.

Scenario

Meta is exploring a new group video-call feature.

Questions

Beyond the provided tables/logs, what additional data sources or surveys would you use to measure demand for group video calls?
How would you define and track success metrics once the feature is launched?
What framework would you apply to decide an upper bound on participants allowed in one group call?

Hint: Consider task completion, concurrency, call quality, user satisfaction, and infrastructure cost.

Solution

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