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Unit Economics and Scaling Questions

Covers measuring and modelling the economics of acquiring and servicing customers and how those economics change as a business grows. Candidates should be able to calculate Customer Lifetime Value for cohorts using retention, spend per period, and margin assumptions; compute payback period and contribution margin per customer; and compare Customer Lifetime Value across acquisition channels and customer segments. Understand the relationship between Customer Lifetime Value and Customer Acquisition Cost and how that ratio informs sustainable growth. Expand analysis to unit economics beyond customers to units of product or transaction level, identifying fixed and variable cost drivers, per unit gross margin, and break even points. Reason about scale effects including economies and diseconomies of scale, what operational components break or become bottlenecks at higher volume, and how unit costs change with automation, capacity constraints, supplier pricing, fraud and support load. Be prepared to build simple spreadsheet models and run sensitivity and scenario analyses, propose operational and pricing levers to improve unit economics, and design experiments and metrics to track improvements over time.

MediumTechnical
16 practiced
Describe three pragmatic data-quality and reconciliation checks you would implement to ensure reported LTV and CAC numbers are accurate in production dashboards. Include examples of metrics or SQL checks you would schedule daily.
HardTechnical
21 practiced
Explain how to compute and interpret lifetime value elasticity with respect to price: d(LTV)/d(price) * (price/LTV). Describe the data and model you would use to estimate this elasticity and how it would inform a pricing experiment.
HardTechnical
23 practiced
Describe how supplier pricing negotiations and volume discounts should be reflected in unit economics reporting. Propose an approach to model future unit costs under multiple supplier pricing tiers and how to surface the impact to product and finance teams.
MediumTechnical
17 practiced
Given a monthly cohort with the following retention by month: Month0=100%, Month1=70%, Month2=55%, Month3=45%, and average spend per active customer each month is $30, calculate the cohort's LTV over the first 4 months assuming 60% gross margin. Show step-by-step calculations.
HardTechnical
18 practiced
Write an optimized strategy for computing a 12-month rolling LTV that minimizes recomputation for every dashboard refresh. Include specific aggregate tables, partitioning, and incremental update logic you would implement in a data warehouse (e.g., BigQuery/Snowflake/Redshift).

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