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What difficulty level is this interview question?

This is a medium difficulty Analytics & Experimentation question, commonly asked during Technical Screen rounds at Meta.

What role is this question designed for?

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

Assess Demand for Group Video Chat | Meta Interview Question

Q: Assess Demand for Group Video Chat

This question evaluates skills in product analytics, causal inference from observational data, demand estimation, survey design, and executive-level synthesis for a data scientist.

Meta is considering adding a group video chat feature to an existing communication product that currently supports messaging and possibly 1:1 calling. You are given access to historical product data, but the feature has not yet been launched, so there is no direct experiment for group video chat.

How would you approach the following?

Infer whether users have meaningful demand for group video chat using existing behavioral data.
Decide whether the company should invest in building the feature , considering user value, business impact, engineering cost, and strategic risk.
Design a questionnaire or survey that could complement product data and help validate demand, use cases, and willingness to adopt.
Present your recommendation to C-level leadership in a concise, decision-oriented way.

In your answer, discuss:

What data sources and behavioral proxies you would use.
How you would define and measure demand before launch.
Key user segments and use cases.
Risks such as selection bias, confounding, and cannibalization of existing features.
How you would combine quantitative evidence with survey results.
What recommendation framework you would use for an executive audience.

How would you approach the following?

Infer whether users have meaningful demand for group video chat using existing behavioral data.
Decide whether the company should invest in building the feature , considering user value, business impact, engineering cost, and strategic risk.
Design a questionnaire or survey that could complement product data and help validate demand, use cases, and willingness to adopt.
Present your recommendation to C-level leadership in a concise, decision-oriented way.

In your answer, discuss:

What data sources and behavioral proxies you would use.
How you would define and measure demand before launch.
Key user segments and use cases.
Risks such as selection bias, confounding, and cannibalization of existing features.
How you would combine quantitative evidence with survey results.
What recommendation framework you would use for an executive audience.

Assess Demand for Group Video Chat

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Assess Demand for Group Video Chat

Quick Overview

Solution

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