Estimation question
Estimate how much data YouTube delivers every day.
- Estimation
- Easy
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What this question tests
Estimation skill through clean decomposition of a large-scale infrastructure number, not the precise data figure.
How to approach it
- Restate the question: total daily data delivered globally through video streaming, combining views and average file size.
- Estimate daily video views or watch hours, stating an assumption for total daily watch time across the user base.
- Estimate average bitrate or data consumption per hour of video, distinguishing standard versus high-definition streaming as a weighted assumption.
- Multiply watch hours by average data per hour to reach a daily total, showing the arithmetic clearly.
- Sanity check the result against general awareness of internet traffic being dominated by video, adjusting if the number seems implausible.
- State a final illustrative range and flag that the split between mobile and desktop or resolution mix is the biggest source of uncertainty.
What a strong answer includes
- Breaks the calculation into watch hours and per-hour data consumption explicitly, rather than guessing one combined number.
- States a clear resolution mix assumption, for example a blended average between standard and high-definition streaming, since this drives most of the variance.
- Shows the full multiplication chain so the reasoning can be audited step by step.
- Sanity checks against a general awareness that video dominates global internet traffic, adjusting the estimate if it seems too low or high relative to that scale.
Common mistakes
- Guessing a single large number with no decomposition into watch hours and per-hour data usage.
- Ignoring the resolution mix, which is the single biggest driver of the final estimate.
- Not sanity checking the result against any real-world reference point.
Likely follow-up questions
- How would your estimate change if mobile viewing, which uses more data-efficient compression, dominated the mix?
- What's the biggest lever that could change this number by an order of magnitude?
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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