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Requirement Gathering

Requirement Gathering

Free concept previewThe full case walkthrough and interview practice continue below.

Here’s an example of a dialogue between the candidate and interviewer. The main focus is to clarify and frame the problem by asking clarifying questions to the interviewer. Some aspects you could clarify are the key objective of the ML system, user experience, data sources and scalability.

Sample Dialogue

[Interviewer] How would you build a machine learning system that predicts the estimated time-of-arrival (ETA) on Uber?

[Candidate] Thank you for the question. I know that Uber provides ETA based on the start and end destination of a trip. Should the ETA also account for the waiting time for rider pickup?

[Interviewer]

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Continue Requirement Gathering with the applied case study, diagnostic checks, and the recommendation you would give a PM.

Work through the complete product case
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Interpret diagnostics and results
Practice a senior-level interview response

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