Market Sizing & Revenue Diagnostics
Overview
This question evaluates competency in assumptions-driven market sizing and revenue diagnostics, including viral video view estimation on a video-sharing platform, strategic regional analysis for a subscription streaming service, and end-to-end product leadership covering user research, metrics, roadmap, and post-launch learnings.
Product / Decision-Making Onsite: Multi‑Part Case and Behavioral
Context: You are interviewing for a Product Manager role. Provide structured, assumptions-driven answers. State any assumptions, show your math, and explain tradeoffs.
1) Estimation: YouTube Cat Video Views
Estimate the cumulative view count for a typical YouTube video about cats uploaded last Friday.
- Assume “last Friday” means roughly one week of traction.
- If information like channel size or promotion isn’t given, define reasonable assumptions (e.g., small vs. mid-sized vs. large channel) and provide a range.
2) Estimation: Netflix Total Revenue (Last Year)
Estimate Netflix’s total revenue for the most recent full fiscal year.
- You may use a build-up model (subscribers × ARPU × 12) and/or triangulate with public ballparks.
- Show sensitivity/ranges and sanity checks.
3) Strategy: U.S. vs. International Revenue Drivers
Compare U.S. and international revenue drivers and discuss how those differences should influence Netflix’s strategy.
- Consider subscriber growth vs. ARPU, pricing power, churn, content preferences, payments, partnerships, and regulation.
- Provide concrete strategic recommendations by region.
4) Behavioral: End‑to‑End Project Walkthrough
Walk me through an end-to-end product initiative you led: the problem, hypothesis, user research, success metrics, roadmap decisions, launch, and post‑launch learnings.
- Be concise but specific (scope, timeline, team, results). Highlight decision points and tradeoffs.
Solution
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