Success Metrics for a Control That Hides Food Content on Facebook and Instagram

Quick Overview

A product metrics question about a new Facebook and Instagram control that lets people mute food content. It tests how a candidate defines the feature's goal, maps metrics across the user journey, picks a primary metric with guardrails, and designs a test that separates the feature's effect from self-selection.

Success Metrics for a Control That Hides Food Content on Facebook and Instagram

Company: Meta

Role: Product Manager

Category: Analytics & Experimentation

Difficulty: medium

Interview Round: Other

You are a product manager working on Facebook and Instagram. The team wants to add a feature that lets people mute food, so that content showing food stops appearing for them. How would you measure whether this feature is a success? ```hint Start from why someone mutes Before listing metrics, name the reasons a person might want food out of their experience and describe what would be different for them if the feature worked. Let that outcome decide which metric you treat as primary. ``` ### Clarifying Questions - Does muting cover every surface where food can appear (feed, Stories, Reels, Explore and search) or only the main feed, and does it also apply to ads from food brands and restaurants? - Does a mute last until the person reverses it, or can they choose a limited period? - How is food content recognized: from hashtags and creator labels, or by classifying the images and video themselves? - Will the feature ship on Facebook and Instagram at the same time, or on one app first? ### What a Strong Answer Covers - The goal of the feature and the user problem it solves, connected to why the apps would offer it at all - Everyone the feature affects beyond the person who mutes, such as food creators and advertisers, and how each could gain or lose - Metrics along the feature's journey, from finding the control to living with a muted experience, with one chosen as primary and the choice justified - Guardrails that would expose harm, including a check that muting removes the right content and only that content - A measurement design that separates the feature's effect from the kind of people who choose to use it ### Follow-up Questions - People who mute food spend less time in the app afterward. Has the feature failed? How would you decide? - Food creators complain that their reach fell after launch. How would you size the effect, and what would you do? - What evidence would make you extend the same control to other topics?

Overview: A product metrics question about a new Facebook and Instagram control that lets people mute food content. It tests how a candidate defines the feature's goal, maps metrics across the user journey, picks a primary metric with guardrails, and designs a test that separates the feature's effect from self-selection.

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Meta
Feb 13, 2024
mediumProduct ManagerOtherAnalytics & Experimentation
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You are a product manager working on Facebook and Instagram. The team wants to add a feature that lets people mute food, so that content showing food stops appearing for them. How would you measure whether this feature is a success?

Clarifying Questions Guidance

  • Does muting cover every surface where food can appear (feed, Stories, Reels, Explore and search) or only the main feed, and does it also apply to ads from food brands and restaurants?
  • Does a mute last until the person reverses it, or can they choose a limited period?
  • How is food content recognized: from hashtags and creator labels, or by classifying the images and video themselves?
  • Will the feature ship on Facebook and Instagram at the same time, or on one app first?

What a Strong Answer Covers Guidance

  • The goal of the feature and the user problem it solves, connected to why the apps would offer it at all
  • Everyone the feature affects beyond the person who mutes, such as food creators and advertisers, and how each could gain or lose
  • Metrics along the feature's journey, from finding the control to living with a muted experience, with one chosen as primary and the choice justified
  • Guardrails that would expose harm, including a check that muting removes the right content and only that content
  • A measurement design that separates the feature's effect from the kind of people who choose to use it

Follow-up Questions Guidance

  • People who mute food spend less time in the app afterward. Has the feature failed? How would you decide?
  • Food creators complain that their reach fell after launch. How would you size the effect, and what would you do?
  • What evidence would make you extend the same control to other topics?