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Meta·Product Manager·Onsite - Product Sense / Strategy·Senior

Senior
May 2026

Summary

Meta PM interview, product strategy round. Just one question but it's the kind that opens up into a rabbit hole fast if you're not careful about scoping.

Questions Asked (1)

Q1

You're a PM at Wikipedia. What product should you build next?

Product Sense & IdeationProduct StrategyAdaptability & Ambiguity
Author's notes

This one tripped me up because Wikipedia feels so static that my brain defaulted to 'improve the editor experience' which is probably the most boring answer you could give.

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AI HintsAI Generated

Suggested Approach

Start by clarifying Wikipedia's mission and core value proposition, then identify a key user need or strategic gap that aligns with that mission. Propose a product concept that leverages Wikipedia's unique strengths (community, knowledge graph, trust) and outline how you would validate and measure its success.

Pro tip: Show that you understand Wikipedia's unique constraints as a non-profit: any product must be sustainable, community-driven, and mission-aligned, not just growth-focused. Emphasize how your idea enhances the editor and reader experience without compromising neutrality.

1. Clarify Mission and Goals

Restate Wikipedia's mission to democratize knowledge and identify current strategic priorities (e.g., reader engagement, editor retention, global reach).

2. Identify User Needs and Gaps

Analyze key user segments (readers, editors, donors) and pain points, such as discoverability, trust, or contribution barriers.

3. Brainstorm Product Ideas

Generate 2-3 ideas that leverage Wikipedia's assets (content, community, data) and align with mission, then select one to detail.

4. Define the Product and Value Proposition

Describe the chosen product's features, target users, and unique value, explaining how it solves the identified need.

5. Outline Validation and Metrics

Propose how to test the concept (e.g., pilot with community) and define success metrics (e.g., engagement, retention, contribution quality).

Key Points to Mention

  • Alignment with Wikipedia's mission and non-profit status
  • Leveraging the community and existing content/knowledge graph
  • Addressing a specific user need (e.g., personalized learning, mobile contribution, trust verification)
  • Consideration of scalability and sustainability
  • Metrics for success that go beyond vanity metrics (e.g., editor retention, content quality)
  • Potential risks and mitigation (e.g., neutrality, moderation, privacy)

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.