Estimation question
How many trains come in and out of Mumbai?
- Flipkart
- Estimation
- Easy
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What this question tests
Tests structured market sizing skills: breaking an unfamiliar number into segments, applying reasonable rates, and sanity checking the result.
How to approach it
- Clarify whether the question means Mumbai suburban locals, long distance trains, or both, since the two differ by orders of magnitude.
- Split the suburban network into its three corridors: Western, Central, and Harbour lines.
- Estimate a headway (minutes between trains) per corridor during roughly 18 operating hours, such as one train every 3 to 4 minutes on Western line.
- Convert headway to trips per line per day, then sum across the three corridors.
- Add long distance trains from the major termini (CST, Dadar, LTT, Bandra Terminus, Mumbai Central), assuming a smaller daily count per terminus.
- Double the total for in plus out, then sanity check against the fact that Mumbai's suburban system is known to be one of the busiest in the world.
What a strong answer includes
- Separates suburban commuter trains from long distance trains rather than lumping them together, since suburban volume dwarfs long distance.
- Uses headway as the core lever, e.g. a 3 minute headway over 18 hours implies roughly 360 trips on one line, showing the math rather than a guessed final number.
- States every assumption (operating hours, headway, number of termini) explicitly as an assumption, not a fact.
- Lands in the thousands per day for suburban trains alone, which is the right order of magnitude.
Common mistakes
- Treating Mumbai as having one line instead of three separate suburban corridors.
- Giving a single number with no visible decomposition or assumptions.
Likely follow-up questions
- How would your estimate change between peak and off peak hours?
- How would you validate this estimate if you had access to Indian Railways data?
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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