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Company Business Model and Product Market Understanding Questions

Demonstrate understanding of how the company creates and captures value through its business model and product offering. This includes knowledge of the product portfolio, value proposition, target customer segments, use cases, pricing model, and how products map to market needs. Candidates should be able to explain how the company makes money, the primary revenue streams, product positioning, and how product decisions affect customer value and strategic direction.

HardTechnical
0 practiced
Write an optimized ANSI SQL query to compute 30-day rolling retention for cohorts by signup date. Use the schema below and return rows: (cohort_date, day_n INTEGER 0..30, retained_count, cohort_size). Also describe indexing, partitioning strategies, and an approach if the dataset is too large for single-node SQL (e.g., move to Spark, BigQuery). Schema:
users(user_id INT, signup_date DATE)
events(user_id INT, occurred_at TIMESTAMP)
MediumSystem Design
0 practiced
Design an analytics pipeline that attributes revenue to specific product features (e.g., Feature A generated $X in ARR). Describe event collection and schema (feature-use events), how to join feature events with billing/invoice data, processing approach (stream vs batch), data model for outputs, latency considerations, and how you would expose results to dashboards and product teams.
EasyTechnical
0 practiced
Design an A/B test to evaluate whether adding a "recommendations" sidebar increases conversion to paid plans. As the engineer on this experiment, specify the primary metric, one or two guardrail metrics, sample size considerations, experiment duration, feature rollout strategy, and a high-level plan for implementing data collection.
HardTechnical
0 practiced
Your company plans to launch Product B that overlaps functionally with existing Product A. Design a framework and set of experiments to estimate cannibalization risk and net revenue impact before launch. Explain required data (cohorts, purchase history), experiment mechanics (feature toggles, holdout groups), key statistical tests to run, and rollback criteria if cannibalization exceeds thresholds.
HardTechnical
0 practiced
You must decide whether to provision a high-performance, low-latency paid tier that costs 3x more per request than the default infra. As an engineer, outline how you would quantify the business case (metrics to compute expected ROI), propose an implementation pattern (routing, isolation, autoscaling), describe SLA differences customers should expect, and specify monitoring and alerting to ensure paid customers get the promised quality.

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