Model Feature Adoption Probability for Users
CoinbaseData Scientist · Technical Screen
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This interview question evaluates statistical assumptions, formulas, estimation strategy, uncertainty, edge cases, and interpretation in a realistic interview setting. A strong answer for Model Feature Adoption Probability for Users states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Scenario
Feature adoption probability modeling
Question
Each user adopts the wallet feature with independent probability p. For n users: (a) expected number of adopters, (b) probability that at least one adopts, (c) given that at least one adopts, probability exactly two adopt.
Hints
Use the binomial distribution, complement rule, and conditional probability.
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