Metrics question
You’re the PM for Google Workspace (Docs, Spreadsheet, Slides) and you see a MoM spike of 15% in storage usage. What do you do?
- Metrics
- Hard
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What this question tests
Diagnostic and operational thinking for a sudden metric spike in an infrastructure-heavy product.
How to approach it
- Confirm the number is accurate, rule out a tracking or billing calculation bug before investigating a real cause.
- Segment the spike by user type, free versus paid tiers, and by file type, Docs versus video-heavy Slides presentations.
- Check for an external event, a large enterprise customer onboarding, a product change like higher upload limits, or a feature like version history retaining more data.
- Distinguish organic growth, more real usage, from unintended growth, e.g. a bug causing duplicate file versions to be stored.
- Decide next steps, if organic, plan capacity and possibly revisit storage pricing tiers, if a bug, ship a fix and clean up excess storage.
- Define a monitoring metric going forward, weekly storage growth rate by segment, to catch future anomalies early.
What a strong answer includes
- Starts by validating the data before reacting, since a 15 percent MoM spike could easily be a bug or bulk import, not real demand.
- Segments the cause precisely, e.g. isolating it to one large customer or one file type, instead of treating it as platform-wide.
- Distinguishes between a genuine growth signal, worth planning capacity around, and a bug, worth fixing and rolling back.
- Proposes an ongoing guardrail, a storage growth anomaly alert, to catch this earlier next time.
Common mistakes
- Assuming the spike is either purely good or purely bad without segmenting the cause.
- Not checking for a tracking or billing bug before investigating usage.
- Stopping at diagnosis without proposing a monitoring safeguard for the future.
Likely follow-up questions
- How would you segment this to find the exact cause.
- What would you do if this turned out to be a storage calculation bug.
- How would you prevent being surprised by this again.
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More questions from Google
Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 2: Data fluency: SQL, logs, and reading the truth yourself
- Chapter 14: Get the job: the AI PM interview loop