Choosing a north-star metric and guardrails for ads shown in Facebook Reels
Company: Meta
Role: Product Manager
Category: Analytics & Experimentation
Difficulty: medium
Interview Round: Other
You own the ads product inside Facebook Reels as its product manager. Define how you would judge whether it is succeeding.
```hint Count the sides
Reels ads touch viewers, advertisers and, for some formats, the creators whose videos carry the ad. A metric set that only shows more ads being sold can hide a worse experience for one of those sides.
```
### Clarifying Questions
- Does "ads in Reels" mean full-screen ads served between Reels, overlay ads placed on creators' Reels, or both?
- Is the product still ramping, where the goal is to grow ad volume, or mature, where the goal is to earn more from each minute watched?
- Is the scope Facebook Reels only, or Reels ad inventory shared with Instagram?
- If creators receive a share of the revenue from ads on their Reels, should their outcomes count toward success?
### What a Strong Answer Covers
- The goal of Reels ads, tied to Facebook's mission and to viewing time shifting toward short video
- Metrics for each side (viewers, advertisers, creators), organized so a change in revenue can be explained
- One north-star metric, with the reason it beats the alternatives
- Guardrails against heavier ad load, cannibalization of other placements and worse advertiser results
- How the metrics would be read in practice: experiments, holdouts and long-term effects
### Follow-up Questions
- An ad-load increase lifts your north star, but Reels time per user dips slightly. How do you decide whether to keep it?
- How would you tell whether ad spend in Reels is new money or budget moved from Feed and Stories?
- Which of your metrics would you change if overlay ads on creators' Reels became the main format?
Overview: A product metrics question about ads in Facebook Reels: define how to measure whether the ads product is succeeding. It tests setting a goal that balances viewers, advertisers and creators, choosing a north-star metric with guardrails, and spotting ad-load and cannibalization traps.