Meta·Product Manager·Onsite - Product Sense / Strategy·Senior

Senior

Apr 2026

Summary

Went through a product metrics round at Meta for a PM role. One question, pretty focused, but it pushed me to think carefully about what 'engagement' actually means in a group context.

Questions Asked (1)

What metrics would you use to increase the number of posts that receive comments within a group?

Product Analytics & MetricsProduct Sense & Ideation

Author's notes

I went straight for volume metrics and kind of regretted it mid-answer.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the goal and defining the key metric: the percentage of posts that receive at least one comment (comment rate). Then break down the user journey into post creation, viewing, and commenting, and identify metrics for each stage that influence the comment rate. Finally, prioritize metrics based on their impact and suggest experiments to improve them.

Pro tip: Distinguish between metrics that measure the outcome (comment rate) and those that are actionable drivers (e.g., comment prompt impressions, reply rate). Focus on drivers you can influence through product changes.

1. Clarify the goal and define the metric

Confirm that the goal is to increase the proportion of posts that receive at least one comment. Define the primary metric as comment rate = number of posts with ≥1 comment / total posts.

2. Map the user journey

Break down the journey into stages: post creation, post viewing, and commenting. Identify potential drop-off points and metrics for each stage.

3. Identify relevant metrics per stage

For each stage, list metrics that could impact the comment rate. For example, post creation: number of posts, post quality; viewing: impressions, view duration; commenting: comment prompt impressions, comment box opens, comment submissions.

4. Prioritize metrics and hypothesize

Select the most impactful metrics based on data and hypotheses. For instance, if few users see the comment box, focus on comment prompt impressions. Formulate hypotheses about how improving these metrics will increase the comment rate.

5. Propose experiments and measure impact

Suggest A/B tests or product changes to improve the prioritized metrics, and define how to measure their effect on the comment rate. For example, test a new comment prompt design and track changes in comment rate.

Key Points to Mention

Primary metric: comment rate (percentage of posts with at least one comment)
Secondary metrics: comment volume per post, time to first comment, commenter diversity
Funnel metrics: post impressions, comment prompt impressions, comment box open rate, comment submission rate
Segmentation: by user type (active vs. passive), group size, post type (text, image, poll)
Guardrail metrics: overall engagement, user satisfaction, spam reports
Experimentation: A/B testing to validate metric improvements and avoid unintended consequences

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.