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Define goals and success metrics for subscriber-only features

Last updated: Mar 29, 2026

Quick Overview

This question evaluates a data scientist's competency in product analytics and experimentation, specifically goal selection, success metric definition, ROI calculation, cannibalization analysis, and end-to-end experiment and instrumentation design for subscriber-only features.

  • hard
  • Analytics & Experimentation
  • Data Scientist

Define goals and success metrics for subscriber-only features

Role: Data Scientist

Category: Analytics & Experimentation

Difficulty: hard

Interview Round: Technical Screen

You’re the data lead for a subscription-based product. The team plans to add subscriber-only benefits but leadership hasn’t specified a business goal. Using the baselines below, (1) choose and justify a single primary goal (retention vs acquisition vs revenue) and the trade-offs, (2) define precise success and guardrail metrics with formulas and 12‑week targets, (3) design the measurement plan (experiment unit, randomization, segments, horizon, power/MDE, handling trials/upgrades, instrumentation and guardrails for abuse), (4) quantify cannibalization of non‑subscriber ad revenue and spillovers to other SKUs, and show how this affects the goal choice, and (5) give a back‑of‑envelope ROI threshold: the minimum lift in (a) monthly subscriber retention or (b) non‑subscriber→subscriber conversion that pays back within 12 months. Baselines/assumptions: 10M MAU; 1M subscribers; monthly churn=4%; non‑subscriber→subscriber conversion=1%/mo; subscriber ARPU=$12/mo subscription + $3/mo ancillary; non‑subscriber ad ARPU=$1.20/mo; marginal cost per subscriber=$0.50/mo; fixed build cost=$1.5M; maintenance=$50k/mo.

Quick Answer: This question evaluates a data scientist's competency in product analytics and experimentation, specifically goal selection, success metric definition, ROI calculation, cannibalization analysis, and end-to-end experiment and instrumentation design for subscriber-only features.

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Oct 13, 2025, 9:49 PM
Data Scientist
Technical Screen
Analytics & Experimentation
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Case: Picking the Goal and Measuring Subscriber-Only Benefits (12-week plan, ROI, and cannibalization)

You are the data lead for a subscription-based product. The team plans to add subscriber-only benefits, but leadership has not specified the business goal. Use the baselines and assumptions below.

Baselines/assumptions:

  • 10M MAU total; 1M subscribers, 9M non-subscribers.
  • Monthly subscriber churn c = 4% (retention R = 96%).
  • Non‑subscriber → subscriber conversion = 1% per month.
  • Subscriber ARPU = 12/mosubscription+12/mo subscription + 12/mosubscription+ 3/mo ancillary = $15/mo.
  • Non‑subscriber ad ARPU = $1.20/mo.
  • Marginal cost per subscriber = $0.50/mo.
  • Fixed build cost = 1.5M(one−time);maintenance=1.5M (one-time); maintenance = 1.5M(one−time);maintenance= 50k/mo.

Tasks:

  1. Choose and justify one primary goal (retention vs acquisition vs revenue) and the trade-offs.
  2. Define precise success and guardrail metrics with formulas and concrete 12‑week targets.
  3. Design the measurement plan: experiment unit, randomization, segments, horizon, power/MDE, handling trials/upgrades, instrumentation, and abuse guardrails.
  4. Quantify cannibalization of non‑subscriber ad revenue and spillovers to other SKUs, and show how that affects the goal choice.
  5. Provide a back‑of‑envelope ROI threshold: the minimum lift in (a) monthly subscriber retention or (b) non‑subscriber→subscriber conversion that pays back within 12 months.

Solution

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