Estimation question
How many computers does LinkedIn have?
- Estimation
- Easy
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What this question tests
Tests estimation skill: breaking a company scale question into a defensible headcount based calculation with clearly stated assumptions.
How to approach it
- Start from LinkedIn's approximate employee count, stating this as an assumption since exact figures are not something you would know precisely.
- Estimate computers per employee, likely more than one per person accounting for laptops plus desk monitors or secondary devices.
- Add server and infrastructure computers separately, since a tech company runs many machines beyond employee devices.
- Combine employee devices and infrastructure into a rough total, showing the arithmetic clearly.
- Sanity check the number against a comparable company's known scale if possible.
- State clearly that this is a rough order of magnitude estimate, not a precise figure.
What a strong answer includes
- States a clear starting assumption, for example an employee count in the tens of thousands, since LinkedIn is a large but not the largest tech employer.
- Assumes roughly 1.2 to 1.5 computers per employee, accounting for laptops plus some employees having an additional desktop or testing device.
- Adds a separate estimate for servers and data center infrastructure, noting this could be a comparable or larger number than employee devices.
- Shows the full arithmetic clearly and states plainly that the final figure is a rough estimate, not a claimed precise fact.
Common mistakes
- Giving a single guessed number with no shown reasoning or stated assumptions behind it.
- Forgetting to separately account for server and infrastructure computers beyond employee laptops.
Likely follow-up questions
- How would your estimate change if you included contractor and vendor devices?
- Which part of your estimate has the most uncertainty, and why?
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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