Netflix·Product Manager·Onsite - Product Sense / Strategy·Senior

SeniorPrefer not to say

Jun 2026Remote

Summary

Netflix PM interview, one question about diagnosing a metric drop on a live video feature. Pretty standard product analytics case but the IG Live framing threw me off a bit since this was for Netflix.

Questions Asked (1)

You're a PM on the live video team and viewership has been declining steadily by 10%. What's causing it and what do you do about it?

Product Analytics & MetricsRoot Cause AnalysisProduct Strategy

Author's notes

I started with segmentation, which was the right call, but I spent too long on the diagnosis side and barely got to the 'what do you do' part before time ran out.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the metric definition and segmenting the decline to isolate the root cause. Then prioritize hypotheses based on impact and test them with data. Finally, propose a strategic response that addresses the root cause and aligns with Netflix's goals.

Pro tip: Demonstrate a hypothesis-driven approach by prioritizing potential causes based on data and business impact, rather than listing all possibilities. Show that you can balance quick wins with long-term strategic bets.

1. Clarify and Segment

Define what 'viewership' means (e.g., total hours, unique viewers, sessions) and segment the decline by dimensions like geography, device, content type, and user cohort to identify patterns.

2. Generate Hypotheses

Brainstorm potential causes across internal factors (product changes, content quality, bugs) and external factors (competition, seasonality, market trends).

3. Prioritize and Validate

Rank hypotheses by likelihood and impact, then validate with data analysis, user research, or A/B tests to confirm the root cause.

4. Develop Solutions

Propose targeted solutions that address the root cause, considering both immediate fixes and long-term strategic initiatives.

5. Measure and Iterate

Define success metrics and a plan to monitor the impact of your solutions, iterating as needed.

Key Points to Mention

Segment the decline by dimensions such as geography, device, content genre, and user tenure to pinpoint where the drop is occurring.
Consider both internal factors (e.g., recent product changes, content slate, technical issues) and external factors (e.g., competitor launches, seasonality, macroeconomic trends).
Use data to validate hypotheses, such as cohort analysis, funnel analysis, or correlation with external events.
Prioritize causes based on potential impact and ease of validation, focusing on the most likely drivers first.
Propose solutions that are specific to the root cause, such as improving content recommendations, fixing bugs, or launching targeted marketing campaigns.
Define clear success metrics and a timeline for measuring the impact of your solutions, and plan for iteration.

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.