##### Scenario Improving the percentage of group posts that receive at least one comment on a social shopping platform. ##### Question To raise the proportion of posts that get at least one comment, what data would you examine first? Lay out your step-by-step analytical structure to diagnose why posts do not receive comments. Map the user-journey funnel for commenting and suggest meaningful user segments to analyze. Brainstorm at least ten different tactics to increase comment rate. Rank those tactics by priority and justify your prioritization criteria. Pick one tactic and design an A/B test to validate its impact. If an experiment shows more impressions but no increase in comments, how would you interpret the result and what next steps would you take? ##### Hints Consider funnel conversion rates, segmentation, experiment design, and creative growth tactics.

This question evaluates a data scientist's skills in product analytics, experimentation design, causal inference, funnel and segmentation analysis, metric definition, and A/B testing for driving comment coverage on group posts.

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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 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.

Analyze Data to Boost Group Post Comment Rates

Scenario

A social shopping platform wants to increase the share of group posts that receive at least one comment.

Task

Design a rigorous analytics and experimentation plan to improve the "comment coverage" metric.

Definitions and Goal

Primary metric: Comment coverage = number of posts that receive ≥1 comment within a defined time window (e.g., 48 hours) / number of posts created.
Scope: Group posts only. Include organic comments; exclude spam/removed content.

Questions

What data would you examine first? Specify the initial checks, core datasets, and key descriptive cuts.
Provide a step-by-step diagnostic structure to identify why posts fail to receive comments.
Map the user-journey funnel leading to a first comment. Include both the viewer (commenter) and the author (post) perspectives.
Propose meaningful user and content segments to analyze.
Brainstorm at least 10 tactics to increase comment rate.
Rank those tactics by priority and justify your prioritization criteria.
Choose one tactic and design an A/B test to validate its impact (units, metrics, power, guardrails, duration, and analysis plan).
If an experiment shows increased impressions but no increase in comments, interpret the result and outline concrete next steps.

Questions

What data would you examine first? Specify the initial checks, core datasets, and key descriptive cuts.

Provide a step-by-step diagnostic structure to identify why posts fail to receive comments.

Map the user-journey funnel leading to a first comment. Include both the viewer (commenter) and the author (post) perspectives.

Propose meaningful user and content segments to analyze.

Brainstorm at least 10 tactics to increase comment rate.

Rank those tactics by priority and justify your prioritization criteria.

Choose one tactic and design an A/B test to validate its impact (units, metrics, power, guardrails, duration, and analysis plan).

If an experiment shows increased impressions but no increase in comments, interpret the result and outline concrete next steps.

Analyze Data to Boost Group Post Comment Rates

Quick Overview

Scenario

Task

Definitions and Goal

Questions

Solution

Submit Your Answer to Earn 20XP

Analyze Data to Boost Group Post Comment Rates

Quick Overview

Scenario

Task

Definitions and Goal

Questions

Solution

Submit Your Answer to Earn 20XP