Strategy question
Pick a Google Cloud product you would sunset. Why?
- Strategy
- Hard
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What this question tests
Tests the ability to make a defensible sunset decision: applying clear criteria (usage, strategic fit, cost) rather than picking a product at random.
How to approach it
- State the criteria for sunsetting: low usage relative to maintenance cost, weak strategic fit with Google Cloud's core, and better alternatives already in the portfolio.
- Pick a plausible candidate, such as a narrow, low-adoption tool that overlaps heavily with a more popular Google Cloud service.
- Explain the overlap: why an existing product already serves the same need better, making the sunset low-risk for customers.
- Estimate the impact: a small affected customer base, illustrative, with a migration path to the overlapping product.
- Propose a responsible sunset plan: advance notice, a migration guide, and a grace period before full shutdown.
- Note the trade off: short-term customer friction versus long-term focus and lower support cost.
What a strong answer includes
- Uses explicit criteria (low adoption, cost to maintain, overlap with another product) instead of naming a product with no rationale.
- Chooses a product with a clear migration path to a sibling product, which minimizes customer harm and makes the decision defensible.
- Includes a responsible transition plan (notice period, migration tooling) since sunsetting cloud infrastructure products affects paying customers directly.
- Frames the decision as a trade off between portfolio focus and near-term customer disruption, not a purely cost-driven cut.
Common mistakes
- Naming a product to sunset with no criteria or reasoning behind the choice.
- Ignoring the customer migration and communication plan, which is critical for infrastructure products.
Likely follow-up questions
- How would you communicate this decision to affected enterprise customers?
- What would make you reverse the sunset decision after announcing it?
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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