Problem
Scenario
You are analyzing an online experiment for a streaming product after a new discovery or playback experience was tested. Early results look promising, but you know online experiments can be distorted by issues like short-term excitement, users affecting each other, or instrumentation problems.
Question
What pitfalls would you watch for when analyzing this experiment, such as novelty effects or network interference, and how would each one bias the results or change your interpretation?
Primary Metric and Guardrails
Practicing as: Data Scientist interview at Disney Streaming ServicesHi, I'll play your Disney Streaming Services interviewer for the Data Scientist role. Candidates describe these interviews as mostly positive and moderately difficult, so expect me to be friendly and conversational. Take your time with the question above and answer like we're in the room.
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