Analyze Rider Behavior in Dynamic-Pricing Trial
LyftData Scientist · Technical Screen
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Analyze Rider Behavior in Dynamic-Pricing Trial evaluates statistical assumptions, formulas, estimation strategy, uncertainty, edge cases, and interpretation in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Scenario
Rider behavior under dynamic-pricing trial: Two rides on day-1; reasonable price probability per ride = P.
Question
A) What is the probability the rider will take exactly one ride the next day? B) What is the probability the rider becomes a permanent rider (rides every day after day- 1)?
Hints
Enumerate three day-1 outcomes: RR, RH/HR, HH. Translate to next-day and steady-state probabilities using basic probability rules or Markov chain.
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