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.