Recommend Meta's Two-Year Company Strategy Across Apps, Ads, AI and Hardware

Quick Overview

A product strategy prompt asking what Meta should prioritize over the next two years across its apps, advertising business and long-term AI and hardware bets. It tests strategic judgment, balancing near-term and long-horizon investments, and defining metrics and guardrails for the plan.

Recommend Meta's Two-Year Company Strategy Across Apps, Ads, AI and Hardware

Company: Meta

Role: Product Manager

Category: Product Design & Strategy

Difficulty: medium

Interview Round: Other

Recommend a strategy for Meta for the next two years. Explain where the company should focus, what it should invest in, what it should do less of, and how its leaders would know the strategy is working. ```hint Separate the clock speeds Some of Meta's bets can change its results within two years, while others only build options for the decade after. Decide how each kind of bet should be judged and funded before you rank ideas. ``` ### Clarifying Questions - Is the scope Meta as a whole, across its apps, its advertising business and its hardware and AI bets, or one product such as Facebook or Instagram? - Which objective should the strategy serve first: revenue growth, relevance with younger users, or position on the next computing platform? - Are there limits on spending, for example on AI infrastructure or on Reality Labs losses, that the plan has to respect? - Should privacy rules and antitrust scrutiny be treated as fixed constraints, or as something the strategy can try to shape? ### What a Strong Answer Covers - An honest read of Meta's position: which strengths are durable, how much it depends on one revenue engine, and what competitors and regulators threaten - A small set of strategic choices tied to an explicit objective and criteria, rather than a list of features - How the plan balances investments that pay back within two years against longer bets, with milestones that decide whether to keep funding them - Metrics for each choice plus company-level guardrails such as user trust and regulatory exposure - Risks, what Meta should stop or slow, and how the plan changes if a key assumption proves wrong ### Follow-up Questions - If you had to cut one major investment to fund the others, which would it be and why? - How would your strategy change if a new short-video or AI-native social app captured a large share of younger users' time? - After twelve months, what evidence would tell you the strategy is failing?

Overview: A product strategy prompt asking what Meta should prioritize over the next two years across its apps, advertising business and long-term AI and hardware bets. It tests strategic judgment, balancing near-term and long-horizon investments, and defining metrics and guardrails for the plan.

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Meta
Apr 29, 2024
mediumProduct ManagerOtherProduct Design & Strategy
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Recommend a strategy for Meta for the next two years. Explain where the company should focus, what it should invest in, what it should do less of, and how its leaders would know the strategy is working.

Clarifying Questions Guidance

  • Is the scope Meta as a whole, across its apps, its advertising business and its hardware and AI bets, or one product such as Facebook or Instagram?
  • Which objective should the strategy serve first: revenue growth, relevance with younger users, or position on the next computing platform?
  • Are there limits on spending, for example on AI infrastructure or on Reality Labs losses, that the plan has to respect?
  • Should privacy rules and antitrust scrutiny be treated as fixed constraints, or as something the strategy can try to shape?

What a Strong Answer Covers Guidance

  • An honest read of Meta's position: which strengths are durable, how much it depends on one revenue engine, and what competitors and regulators threaten
  • A small set of strategic choices tied to an explicit objective and criteria, rather than a list of features
  • How the plan balances investments that pay back within two years against longer bets, with milestones that decide whether to keep funding them
  • Metrics for each choice plus company-level guardrails such as user trust and regulatory exposure
  • Risks, what Meta should stop or slow, and how the plan changes if a key assumption proves wrong

Follow-up Questions Guidance

  • If you had to cut one major investment to fund the others, which would it be and why?
  • How would your strategy change if a new short-video or AI-native social app captured a large share of younger users' time?
  • After twelve months, what evidence would tell you the strategy is failing?