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.