Metrics question
How would you decide if Facebook should invest in the space of Volunteering? Set the success metrics.
- Meta
- Metrics
- Hard
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What this question tests
Strategic evaluation of a new investment area combined with setting the right success metrics.
How to approach it
- Clarify what volunteering means here, e.g. an event discovery and sign-up tool inside Facebook Groups and Events.
- Assess strategic fit, Facebook already has Groups and Events, so volunteering could extend engagement in those surfaces.
- Estimate market size and user intent, how many users already search for volunteer opportunities via Groups or external sites.
- Weigh build cost against expected engagement lift versus competing priorities like Marketplace or Reels.
- Recommend a decision, e.g. invest as a feature within Events rather than a standalone app.
- Define success metrics, volunteer event sign-ups per month and repeat volunteering rate over a quarter.
What a strong answer includes
- Frames the decision as build-versus-extend, leveraging existing Events and Groups infrastructure instead of a new product.
- Distinguishes activation, discovering an opportunity, from real impact, actually showing up, and proposes measuring both.
- Sets a specific metric, e.g. percent of sign-ups that convert to confirmed attendance, as the core success measure.
- Notes a guardrail, event organizer satisfaction or no-show rate, to catch a broken experience.
Common mistakes
- Treating this as a purely social-good initiative with no business rationale.
- Proposing a totally new app instead of leveraging existing Facebook surfaces.
- Measuring only sign-ups without checking whether people actually volunteer.
Likely follow-up questions
- How would you verify volunteering actually happened.
- What would make you decide not to invest in this.
- How would you partner with existing volunteer organizations.
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Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 2: Data fluency: SQL, logs, and reading the truth yourself
- Chapter 14: Get the job: the AI PM interview loop