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DoubleVerify·Data Analyst·Technical Phone Screen·Intermediate

Intermediate
Apr 2026

Summary

Got a classic estimation question at DoubleVerify. Short interview, not much else to it.

Questions Asked (1)

Q1

How many windows are there in New York City?

Product Analytics & MetricsAdaptability & Ambiguity
Author's notes

Fermi estimation.

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AI HintsAI Generated

Suggested Approach

Break the problem into manageable components: estimate the number of buildings in NYC, then estimate the average number of windows per building, and multiply. Clearly state your assumptions and use round numbers to simplify calculations, focusing on demonstrating logical reasoning rather than getting an exact answer.

Pro tip: Acknowledge that this is a Fermi problem and that the process matters more than the precise number; mention that you would validate your estimate with real data if available, showing you understand the limitations of pure estimation.

1. Clarify the scope

Define what counts as a window (e.g., building windows only, excluding vehicles) and what area of NYC to include (all five boroughs). This shows you think critically about the question.

2. Estimate the number of buildings

Use known statistics or reasonable assumptions: NYC has about 1 million buildings (or estimate from population and average household size). Break down by building types (residential, commercial, industrial).

3. Estimate windows per building type

For each building type, estimate the average number of windows. For residential, consider average number of units per building and windows per unit; for commercial, consider floor area and window density.

4. Calculate and sum

Multiply the number of buildings by the average windows per building for each category, then sum to get a total estimate. Use round numbers for simplicity.

5. Sanity check and refine

Assess whether the result seems plausible (e.g., compare to population or known building counts). If time permits, refine assumptions or mention alternative approaches.

Key Points to Mention

  • State assumptions explicitly and keep them reasonable.
  • Use a top-down or bottom-up approach to structure the estimation.
  • Break down by building types (residential, commercial) for accuracy.
  • Use known NYC statistics (e.g., population, number of buildings) if possible.
  • Perform a sanity check on the final number.
  • Acknowledge that the answer is an estimate and could be improved with data.

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.