Metrics for a push to help more Meta group posts get replies

Quick Overview

A product analytics interview question about which metrics Meta should use to get more posts in groups to receive comments. It tests defining a precise goal metric, breaking it into driver metrics along a post's path to its first reply, choosing guardrails, segmenting groups and evaluating changes when members influence each other.

Metrics for a push to help more Meta group posts get replies

Company: Meta

Role: Product Manager

Category: Analytics & Experimentation

Difficulty: medium

Interview Round: Other

Meta wants more posts in groups to receive comments. Which metrics would you use to steer and measure that effort? ```hint Follow one post Trace a single post from the moment it is written to its first reply, note every point where it can stall, and let each point suggest something to measure. ``` ### Clarifying Questions - Is this about the Groups product across Facebook, or one particular group seen from its admin's side? - Does the goal mean more posts that get at least one comment, a higher share of posts that get one, or more comments per post? - Which comments should count: replies from the post's author, admins or automated accounts, or comments later removed as spam? - Are all group types in scope, including ones such as buy-and-sell groups where people often answer by private message instead? ### What a Strong Answer Covers - Why a post getting comments matters to the poster, the group and Meta, and how that shapes the goal metric - A precisely defined goal metric: what counts as a comment, the time window and the denominator - Driver metrics along the path from writing a post to receiving a reply, so a change can be traced to a step - Guardrails that catch ways the goal metric could rise while groups get worse - Segmentation, and an evaluation plan that accounts for members of the same group influencing each other ### Follow-up Questions - The goal metric rises, but members say their groups feel noisier. How do you decide whether to keep the change? - How would the metric differ for a support group, where one helpful answer is enough, versus a discussion group? - The goal metric is flat overall but up in large groups and down in small ones. What would you look at next?

Overview: A product analytics interview question about which metrics Meta should use to get more posts in groups to receive comments. It tests defining a precise goal metric, breaking it into driver metrics along a post's path to its first reply, choosing guardrails, segmenting groups and evaluating changes when members influence each other.

Meta logo
Meta
Apr 18, 2024
mediumProduct ManagerOtherAnalytics & Experimentation
0
0

Meta wants more posts in groups to receive comments. Which metrics would you use to steer and measure that effort?

Clarifying Questions Guidance

  • Is this about the Groups product across Facebook, or one particular group seen from its admin's side?
  • Does the goal mean more posts that get at least one comment, a higher share of posts that get one, or more comments per post?
  • Which comments should count: replies from the post's author, admins or automated accounts, or comments later removed as spam?
  • Are all group types in scope, including ones such as buy-and-sell groups where people often answer by private message instead?

What a Strong Answer Covers Guidance

  • Why a post getting comments matters to the poster, the group and Meta, and how that shapes the goal metric
  • A precisely defined goal metric: what counts as a comment, the time window and the denominator
  • Driver metrics along the path from writing a post to receiving a reply, so a change can be traced to a step
  • Guardrails that catch ways the goal metric could rise while groups get worse
  • Segmentation, and an evaluation plan that accounts for members of the same group influencing each other

Follow-up Questions Guidance

  • The goal metric rises, but members say their groups feel noisier. How do you decide whether to keep the change?
  • How would the metric differ for a support group, where one helpful answer is enough, versus a discussion group?
  • The goal metric is flat overall but up in large groups and down in small ones. What would you look at next?