North-star and guardrail metrics for Facebook's photo-sharing flow

Quick Overview

A product metrics question asking how to tell whether Facebook's photo upload feature is succeeding. It tests mapping the upload journey, choosing a primary metric with a clear rationale, and adding guardrails such as upload failures, privacy mistakes and policy-violating content.

North-star and guardrail metrics for Facebook's photo-sharing flow

Company: Meta

Role: Product Manager

Category: Analytics & Experimentation

Difficulty: medium

Interview Round: Other

You are the product manager who owns photo uploads on Facebook: the flow a person uses to add pictures to a post, either by taking a photo with the camera or choosing one from their photo library, then adding a caption, picking who can see it and publishing. How would you measure whether this feature is successful? Name the metrics you would track, choose the one you consider most important and explain why. ```hint Uploader versus outcome Some steps are fully under the upload team's control, such as picking, publishing and processing the photo; others, such as whether friends respond, depend on much more. Decide which of these your main metric should capture. ``` ### Clarifying Questions - Does the feature include photos in Stories, Marketplace listings, profile pictures and groups, or only photos in feed posts? - Is this the mature feature as it works today, or a recent change to the upload flow that needs evaluating? - Mobile apps only, or also the website, where people often upload from a computer? - Are the metrics for the upload team's ongoing health view, or to show leadership what photo sharing contributes to Facebook overall? ### What a Strong Answer Covers - Why photo uploads matter to the people who post, to the friends who see the photos and to Meta. - The upload journey from opening the composer to a published photo and the responses it gets, with a metric at each step. - One primary metric with a clear rationale, and why tempting alternatives such as total photos uploaded fall short. - Guardrails for upload failures and speed, privacy mistakes and policy-violating content. - Segments such as new versus existing users, device, network quality and country, and how the metrics would locate a problem. ### Follow-up Questions - Photo uploads drop sharply in one week. How would you use your metrics to tell whether the uploader is at fault? - If people start sharing more photos in Stories and fewer in feed posts, how would your metrics tell a healthy shift from a decline? - How would you tell whether more uploads mean more value rather than more low-quality content?

Overview: A product metrics question asking how to tell whether Facebook's photo upload feature is succeeding. It tests mapping the upload journey, choosing a primary metric with a clear rationale, and adding guardrails such as upload failures, privacy mistakes and policy-violating content.

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Meta
Sep 9, 2024
mediumProduct ManagerOtherAnalytics & Experimentation
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You are the product manager who owns photo uploads on Facebook: the flow a person uses to add pictures to a post, either by taking a photo with the camera or choosing one from their photo library, then adding a caption, picking who can see it and publishing. How would you measure whether this feature is successful?

Name the metrics you would track, choose the one you consider most important and explain why.

Clarifying Questions Guidance

  • Does the feature include photos in Stories, Marketplace listings, profile pictures and groups, or only photos in feed posts?
  • Is this the mature feature as it works today, or a recent change to the upload flow that needs evaluating?
  • Mobile apps only, or also the website, where people often upload from a computer?
  • Are the metrics for the upload team's ongoing health view, or to show leadership what photo sharing contributes to Facebook overall?

What a Strong Answer Covers Guidance

  • Why photo uploads matter to the people who post, to the friends who see the photos and to Meta.
  • The upload journey from opening the composer to a published photo and the responses it gets, with a metric at each step.
  • One primary metric with a clear rationale, and why tempting alternatives such as total photos uploaded fall short.
  • Guardrails for upload failures and speed, privacy mistakes and policy-violating content.
  • Segments such as new versus existing users, device, network quality and country, and how the metrics would locate a problem.

Follow-up Questions Guidance

  • Photo uploads drop sharply in one week. How would you use your metrics to tell whether the uploader is at fault?
  • If people start sharing more photos in Stories and fewer in feed posts, how would your metrics tell a healthy shift from a decline?
  • How would you tell whether more uploads mean more value rather than more low-quality content?