Diagnose a single-day drop in Facebook birthday greetings
Company: Meta
Role: Product Manager
Category: Analytics & Experimentation
Difficulty: medium
Interview Round: Other
You are the product manager for Birthdays on Facebook: the reminders that tell people a friend has a birthday and the places where they can post or send a greeting. On one particular day, the number of birthday greetings drops. Walk through how you would find out why it happened and decide what to do.
```hint Use the shape of the drop
A fall confined to a single day points to different causes than a slow slide. Pin down what that day would normally have looked like, then break the greeting count into pieces you can check one at a time.
```
### Clarifying Questions
- What counts as a greeting: a post on the person's profile, a comment, a message sent from a birthday reminder, or all of these?
- How large is the drop, and against which baseline: the day before, the same weekday in recent weeks, or the same date last year?
- Is it spread across every country, platform and app version, or concentrated in a few of them?
- Did the number recover the next day, or is that day the start of a lower level?
### What a Strong Answer Covers
- Checking that the drop is real: logging and pipeline health, metric definition changes, and a baseline that respects weekday and calendar effects.
- A decomposition of greetings into birthdays that day, friends reminded, reminders seen, share who greet and greetings per greeter, used to locate where the loss happened.
- Segmentation by platform, app version, region and entry point to separate a release or outage from a behavior change.
- Internal and external hypotheses checked in a sensible order, each with the data that would confirm or rule it out.
- A response tied to the cause (roll back, fix, accept, or redefine the metric) and a way to catch the next drop sooner.
### Follow-up Questions
- The whole drop is on Android, in the newest app version. What do you do in the next hour?
- Greetings posted on profiles fell, but birthday messages sent privately rose by about the same amount. Is that a problem?
- How would you set up alerting so a drop like this is noticed the same day rather than the next week?
Overview: A metric-diagnosis question for the product manager of Facebook Birthdays after greetings fall sharply on a single day. It tests validating the data, choosing a fair baseline, decomposing the greeting funnel, segmenting by platform and region, ordering hypotheses and deciding on a response.