How would you choose between shows?

Q: How would you choose between shows?

This question evaluates a data scientist's competency in quantifying incremental business impact, causal reasoning about bias and confounders, risk-adjusted profit modeling, and designing experimentation-informed metrics within the Analytics & Experimentation domain for a data science role.

Q: How do I approach Analytics & Experimentation interview questions?

Analytics & Experimentation questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master analytics & experimentation interviews.

Q: What difficulty level is this interview question?

This is a medium difficulty Analytics & Experimentation question, commonly asked during Technical Screen rounds at Capital One.

Q: What role is this question designed for?

This question is commonly asked for Data Scientist candidates at Capital One during technical interviews.

Question

You are a data scientist at a streaming company similar to Netflix or Hulu. Leadership wants a recommendation on whether to renew an existing series or invest in a new one.

Part A: Renewal framework For an existing show called The Analyst, how would you decide whether it should be renewed or canceled? Build a structured framework that goes beyond simple profit calculation. Your answer should consider:

Financial performance
User impact such as acquisition, retention, engagement, and churn reduction
Strategic value such as franchise/IP potential, genre coverage, and brand differentiation
Risks and uncertainty

Also explain how you would estimate the show's incremental business impact rather than relying only on raw view counts, and what biases or confounding factors could mislead the analysis.

Part B: Two-year profit calculation Now compare two shows that each require a 2-year commitment. Assume:

One season is released per year
2-year profit = (viewers per season × revenue per viewer × 2) - (annual cost × 2) - one-time startup cost
All money is in USD millions unless stated otherwise
Ignore discounting, taxes, and cannibalization unless you choose to discuss them as caveats

Show 1: The Analyst (existing show)

Viewers per season: 5 million
Revenue per viewer per season: $15
Annual cost: $50 million
Startup cost: $0

Show 2: Sharkbank (new show) If the show is successful:

Viewers per season: 7 million
Revenue per viewer per season: $15
Annual cost: $60 million
One-time startup cost: $20 million

If the show is unsuccessful:

Viewers per season: 4 million
Revenue per viewer per season: $15
Annual cost: $60 million
One-time startup cost: $20 million

Compute Sharkbank's 2-year profit in the success scenario and in the failure scenario.
If success and failure are each 50% likely, what is Sharkbank's expected 2-year profit?
Which show would you choose: The Analyst or Sharkbank? Do not rely only on expected value; discuss risk appetite, downside protection, portfolio strategy, and any strategic upside not captured in the simple model.
If leadership asks you to improve The Analyst's profit, what levers would you recommend? Include both revenue-side and cost-side ideas, and explain how you would measure whether those levers actually caused improvement.

How would you choose between shows?

Quick Overview

Solution

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