Strategy question
What strategies are Apple, Amazon, and Google taking in healthcare? What is better, breadth or depth in healthcare use cases? Pros/cons?
- Strategy
- Hard
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What this question tests
Tests market and competitive strategy analysis across multiple real companies, weighing a breadth-versus-depth tradeoff with reasoned pros and cons.
How to approach it
- Characterize each company's actual approach: Apple focuses on consumer health/wearables depth (Watch, Health app), Amazon on infrastructure and pharmacy breadth (PillPack, Amazon Clinic), Google on data/AI depth (DeepMind Health, Fitbit).
- Define breadth: covering many healthcare touchpoints (pharmacy, insurance, provider) versus depth: owning one vertical extremely well (e.g. wearable-based monitoring).
- Lay out breadth's pros: more revenue surface and stickiness, cons: regulatory complexity multiplies and execution risk rises across many fronts.
- Lay out depth's pros: easier regulatory and clinical focus, strong differentiation, cons: smaller addressable revenue and vulnerable to a broader competitor.
- Give a reasoned recommendation: depth first to build clinical credibility and trust, then expand breadth once a strong wedge is proven, rather than doing both at once.
What a strong answer includes
- Grounds the analysis in real, verifiable strategic moves (Apple Watch, Amazon Pharmacy/PillPack, Google/Fitbit) instead of generic healthcare speculation.
- Gives explicit pros and cons for both breadth and depth rather than declaring one universally better.
- Recommends a sequenced strategy, depth-first for trust then breadth, showing nuanced reasoning over a flat pick.
- Notes healthcare's unique regulatory and trust burden makes breadth riskier here than in typical tech expansion, a domain-specific insight.
Common mistakes
- Stating a preference (breadth or depth) without concrete pros and cons for each.
- Ignoring the regulatory and trust dimension that makes healthcare strategy fundamentally different from typical product expansion.
Likely follow-up questions
- Which of these three companies do you think is best positioned long-term, and why?
- How would regulatory risk change your recommendation?
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Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 4: Discovery and strategy for AI products
- Chapter 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 14: Get the job: the AI PM interview loop