Estimation question
Estimate the weight of of a 747 airplane.
- Estimation
- Easy
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What this question tests
Estimation: can you build a bottom-up structural estimate for a physical object using component weights and material reasoning.
How to approach it
- Break the 747 into major components: fuselage/airframe structure, wings, engines (typically four), landing gear, and interior fittings.
- Estimate the airframe structure weight using aluminum/composite material density and approximate dimensions of a 747 (length roughly 70m, wingspan roughly 65m, state as assumptions).
- Estimate engine weight: four large jet engines, each roughly several tons (state assumption per engine).
- Estimate landing gear and interior fittings as a smaller additional weight component.
- Sum the components to get an estimated empty aircraft weight, then note this excludes fuel and payload, which would roughly double the figure at max takeoff weight.
- Sanity check the final number against known orders of magnitude for large commercial aircraft.
What a strong answer includes
- Breaks the aircraft into structural components (airframe, engines, gear) rather than guessing one number for the whole plane.
- Distinguishes empty weight from max takeoff weight (including fuel and payload), a meaningful and often-missed distinction.
- Uses plausible per-component weight assumptions (e.g. engine weight) rather than assumptions with no grounding.
- States the final answer as a range and clarifies which weight definition it refers to.
Common mistakes
- Giving one number without clarifying whether it's empty weight or max takeoff weight, which differ hugely.
- Not breaking the estimate into components, making the number impossible to sanity check.
Likely follow-up questions
- How would your estimate change if asked for max takeoff weight instead of empty weight?
- Which component's weight are you least confident about, 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