Diagnosing and recovering a 10-day fall in Facebook engagement
Company: Birdeye
Role: Product Manager
Category: Analytics & Experimentation
Difficulty: medium
Interview Round: Other
You are a product manager for Facebook. Over the last 10 days, user engagement has declined significantly. Explain how you would find the cause and what you would do about it.
```hint Let the 10-day window guide you
A decline that began recently usually traces back to something that changed around a specific date. Confirm the decline is real, find where it is concentrated, and then line it up against what changed inside and outside Facebook at that time.
```
### Clarifying Questions
- Which engagement metric fell, and by how much: daily active users, time spent, sessions per user, or actions such as posts, comments and reactions?
- Did the decline start abruptly on one day or build gradually over the 10 days, and has it recovered at all since?
- Is it visible on iOS, Android and the web alike, and in every region, or concentrated somewhere?
- What is the comparison baseline: the 10 days before, or the same period last year?
### What a Strong Answer Covers
- Pinning down the metric, the size and the start date before diagnosing
- Ruling out logging and data-pipeline problems with independent signals
- Segmenting by platform, app version, region, user cohort and surface to localize the decline
- Internal and external hypotheses ordered by fit with the evidence, each with a check that would confirm or reject it
- A response covering the fix, communication to stakeholders, and monitoring that catches a repeat sooner
### Follow-up Questions
- If time spent per user fell but daily active users held steady, how does your list of hypotheses change?
- Suppose the decline lines up with a Feed ranking change that improved its own target metric in testing. What would you do?
- How would you separate the effect of a holiday or a major news event from a product problem?
Overview: A metric-diagnosis prompt in which a Facebook product manager must investigate a significant fall in user engagement over the last 10 days and decide how to respond. It tests metric clarification, data-quality checks, segmentation, ordering of internal and external hypotheses, and a recovery and prevention plan.