Netflix-Specific Data Analysis Scenarios Questions
Netflix-specific data analysis scenarios covering streaming metrics, user engagement and retention analysis, content consumption patterns, evaluation of recommendation systems, A/B test design and analysis, cohort analysis, data visualization, and storytelling with data in the streaming domain.
HardTechnical
0 practiced
You are asked to evaluate whether recommendation outcomes differ across demographic groups (age, gender, region). Propose a set of fairness metrics suitable for a streaming recommender, describe how to compute them, how to control for confounding variables (e.g., content availability), and how to operationalize monitoring and alerts for fairness regressions.
EasyTechnical
0 practiced
You have signup and play event data:users(user_id, signup_date)events(user_id, occurred_at TIMESTAMP, event_type)Write an SQL query (ANSI SQL) to produce a cohort retention matrix for weekly cohorts: columns cohort_week, day_0, day_1, day_7, day_30 where day_N is percentage of cohort users active on that day since signup. Explain how you handle right-censoring and small cohort sizes.
EasyTechnical
0 practiced
Explain the conceptual and measurement differences between churn and retention for a subscription streaming business like Netflix. Provide formal definitions, recommended formulas (monthly churn rate vs retention rate), and practical caveats when computing these metrics from event and billing data.
EasyTechnical
0 practiced
When aggregating play events across global users, how do you handle timezones correctly? Discuss event-time vs ingestion-time, best practices for storing timestamps, converting to local user time for daily metrics, and pitfalls when users travel frequently.
HardTechnical
0 practiced
You run an online experiment but worry about interference because multiple users in the same household may receive different variants. Propose an experiment design to avoid contamination: randomization unit, logging changes, sample size implications, and methods to analyze if some contamination remains.
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