Facebook Events No-Shows: Diagnosing Why Half of 'Going' RSVPs Never Attend
Company: Meta
Role: Product Manager
Category: Analytics & Experimentation
Difficulty: medium
Interview Round: Other
You are a product manager working on Facebook Events. 50 percent of the users who mark themselves as going to an event end up not attending it. What would you do about this?
```hint Question the metric
Before solving anything, ask how attendance is observed in the first place and whether this rate is new or has always looked like this. Then walk the path from invitation to arrival and find where people drop out.
```
### Clarifying Questions
- Is the 50 percent rate a recent jump, or has it been at roughly this level for a long time?
- How is attendance known: check-ins, ticket scans, location signals, organizer reports or joins for online events, and does the figure cover in-person and online events alike?
- Which events does it cover: private events among friends, large public events, ticketed events, or events run by businesses and groups?
- Whose problem should I solve first: organizers planning around a headcount, attendees, or the reliability of RSVPs as a signal across the product?
### What a Strong Answer Covers
- Validating the metric before acting: how attendance is detected, what the denominator is, and whether the rate changed suddenly or is a long-standing baseline.
- Segmenting the no-show rate to localize the problem, for example by event type, free versus paid, online versus in-person, invitation versus discovery, and lead time.
- Walking the journey from invitation through RSVP to arrival and forming specific hypotheses for each step, including technical causes if the rate changed suddenly.
- Choosing a goal (a more truthful RSVP signal, higher attendance, or both) and proposing prioritized fixes for organizers and attendees.
- A success metric, guardrails and an experiment design that copes with attendance being only partly observable.
### Follow-up Questions
- After your change, more people switch from "Going" to "Can't go" before the event. Is that a win or a loss?
- Organizers report that no-shows hurt them most at small, capacity-limited events. How does that change your plan?
- How would you run an experiment on reminders when you can confirm attendance for only a fraction of events?
Overview: A product manager interview question about Facebook Events, where half of the users who mark themselves as going never attend the event. It tests validating how attendance is measured, segmenting the no-show rate, forming root-cause hypotheses, and proposing prioritized fixes with success metrics and guardrails.