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

Senior
Jun 2026

Summary

Went through a product sense round at Meta for a PM role. Just the one question but it took up most of the time.

Questions Asked (1)

Q1

How do you prioritize competing features?

Roadmap PrioritizationProduct StrategyStakeholder Management
Author's notes

Classic question but I still fumbled the structure a bit.

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AI HintsAI Generated

Suggested Approach

Start by framing prioritization as a structured, data-informed process tied to company and product strategy. Walk through a specific framework you use, then illustrate with a concrete example where you balanced impact, effort, and stakeholder needs. Emphasize how you communicate trade-offs and align teams on the final decision.

Pro tip: Show that you prioritize not just by what to build, but also by what to say 'no' to—and how you communicate that decision with empathy and clear rationale to maintain stakeholder trust.

1. Anchor to Strategy and Goals

Begin by clarifying how the feature aligns with the company's mission, product vision, and quarterly objectives. This ensures prioritization is not arbitrary but rooted in strategic intent.

2. Assess Impact and Effort

Evaluate each feature's potential impact (e.g., user value, revenue, retention) and required effort (e.g., engineering resources, time). Use a scoring model like RICE or weighted matrix to compare objectively.

3. Incorporate Stakeholder Input

Gather input from key stakeholders (engineering, design, marketing, sales) to understand constraints, dependencies, and diverse perspectives. Balance their needs with data and strategy.

4. Make Trade-offs and Decide

Synthesize insights to prioritize the highest-value features, explicitly documenting what is deferred and why. Use a decision-making framework to ensure transparency and consistency.

5. Communicate and Iterate

Clearly communicate the prioritization rationale to all stakeholders, and establish a process to revisit priorities as new data or market changes emerge.

Key Points to Mention

  • Use of prioritization frameworks like RICE, MoSCoW, or Kano model
  • Alignment with OKRs and company strategy
  • Data-driven decision making (user research, analytics, A/B tests)
  • Stakeholder management and expectation setting
  • Ability to say 'no' and explain trade-offs
  • Iterative prioritization and flexibility to adapt to change

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