Estimation question
Estimate the amount of storage needed to store all the photos and videos taken on Pixel phones.
- Estimation
- Medium
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What this question tests
Whether you can build a structured bottom-up estimate combining an active user base, capture rate, and file size assumptions.
How to approach it
- Clarify scope: total new photo and video storage generated by active Pixel users in a year, not historical cumulative storage.
- Estimate the active Pixel user base, a modest slice of Android's roughly 3 billion devices, say tens of millions of active Pixel users.
- Estimate capture behavior: average photos per user per day and the smaller share of time spent shooting video versus photos.
- State size assumptions: roughly 3 to 5 MB per photo, and a few hundred MB per minute of video at typical phone resolution.
- Multiply users by daily captures by average file size, then scale to a year, keeping photo and video storage as separate line items.
- Sum the two totals into an annual storage estimate, stated as a range, and flag which assumption drives the number most.
What a strong answer includes
- Breaks the estimate into photo and video separately, since their file sizes differ by orders of magnitude.
- States a specific active Pixel user base assumption instead of using Android's total install base as a proxy.
- Uses labeled per-item size assumptions, like 4 MB per photo, rather than guessing an aggregate number directly.
- Flags video as the dominant driver of total storage despite being a smaller share of captures, and explains why.
Common mistakes
- Treating photos and videos as the same size, which badly understates total storage.
- Using Android's entire user base instead of scoping to actual Pixel-specific users.
Likely follow-up questions
- How would cloud backup versus on-device-only storage change this estimate?
- Which single assumption would you want real data on first to sharpen this number?
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Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 2: Data fluency: SQL, logs, and reading the truth yourself
- Chapter 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 14: Get the job: the AI PM interview loop