Facebook Buy-and-Sell Groups: Choosing a North Star for Local Trades and Guardrails

Quick Overview

A product metrics prompt about Facebook buy and sell groups, where members list items for local sale. It tests setting a goal for the product, mapping the journeys of sellers, buyers and group admins, choosing a north star for exchanges that mostly finish off-platform, and adding supporting and guardrail metrics.

Facebook Buy-and-Sell Groups: Choosing a North Star for Local Trades and Guardrails

Company: Meta

Role: Product Manager

Category: Analytics & Experimentation

Difficulty: medium

Interview Round: Other

Facebook groups can be set up for buying and selling among their members. Assume the typical case: a member posts an item with a price, photos and a general location, and interested members message the seller to arrange a local pickup or meetup. You are the product manager for buy and sell groups. What goals would you set for this product, and which metrics would tell you whether it is succeeding? ```hint Most of the deal happens off the app The meetup and the payment usually take place away from Facebook. Work out what the product can actually observe between a post going up and an item changing hands, and which of those signals best stands in for a deal that worked out for both sides. ``` ### Clarifying Questions - Does a sale in a group earn Meta a fee, or should success be judged without transaction revenue? - How do these groups relate to Marketplace: do group listings also appear there, and does one team own both? - Is the product mature, so the goal is health and growth, or still early, so the goal is adoption? - Should the metrics cover all buy and sell groups, or one kind, such as neighborhood groups or groups for a single category of item? ### What a Strong Answer Covers - A goal tied to Meta's mission and to the role these groups play, with an honest account of how Meta benefits - The journeys of the three sides (sellers, buyers and group admins) and what each needs - A north star that reflects completed, trusted exchanges, with a plan for measuring deals that close off-platform - Supporting metrics for each side, plus guardrails for scams, prohibited items, feed spam and admin workload - Trade-offs between volume and quality, and the segments the metrics should be cut by ### Follow-up Questions - Listings rise sharply while items marked as sold stay flat. What could explain the gap, and what would you check first? - How would you decide whether buy and sell groups should stay separate from Marketplace? - Which signals would warn you that group admins are burning out, and why does that matter for your goals?

Overview: A product metrics prompt about Facebook buy and sell groups, where members list items for local sale. It tests setting a goal for the product, mapping the journeys of sellers, buyers and group admins, choosing a north star for exchanges that mostly finish off-platform, and adding supporting and guardrail metrics.

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Meta
Jun 25, 2024
mediumProduct ManagerOtherAnalytics & Experimentation
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Facebook groups can be set up for buying and selling among their members. Assume the typical case: a member posts an item with a price, photos and a general location, and interested members message the seller to arrange a local pickup or meetup.

You are the product manager for buy and sell groups. What goals would you set for this product, and which metrics would tell you whether it is succeeding?

Clarifying Questions Guidance

  • Does a sale in a group earn Meta a fee, or should success be judged without transaction revenue?
  • How do these groups relate to Marketplace: do group listings also appear there, and does one team own both?
  • Is the product mature, so the goal is health and growth, or still early, so the goal is adoption?
  • Should the metrics cover all buy and sell groups, or one kind, such as neighborhood groups or groups for a single category of item?

What a Strong Answer Covers Guidance

  • A goal tied to Meta's mission and to the role these groups play, with an honest account of how Meta benefits
  • The journeys of the three sides (sellers, buyers and group admins) and what each needs
  • A north star that reflects completed, trusted exchanges, with a plan for measuring deals that close off-platform
  • Supporting metrics for each side, plus guardrails for scams, prohibited items, feed spam and admin workload
  • Trade-offs between volume and quality, and the segments the metrics should be cut by

Follow-up Questions Guidance

  • Listings rise sharply while items marked as sold stay flat. What could explain the gap, and what would you check first?
  • How would you decide whether buy and sell groups should stay separate from Marketplace?
  • Which signals would warn you that group admins are burning out, and why does that matter for your goals?