Customer and User Obsession Questions

Demonstrating a deep commitment to understanding and advocating for customers and end users. Candidates should show how they prioritize user needs in decision making, even when it conflicts with other priorities, and provide concrete examples of advocating for users internally. Topics include using qualitative and quantitative research to surface user pain points, validating assumptions with user evidence, designing or improving experiences to solve real problems, maintaining ongoing connection to users through feedback loops, and influencing stakeholders to keep the organization user focused. Examples may range from entry level empathy and direct customer learning to strategic changes driven by user insight.

MediumSystem Design

142 practiced

Design a lightweight 'voice of the customer' dashboard for engineers that surfaces per-feature user satisfaction signals: NPS, crash rate, API error rate, average response time, and top support issues. What datastore, ingestion cadence, visualization types, and alerting strategy would you choose to keep data near real-time while minimizing cost?

EasyTechnical

78 practiced

List and compare at least three low-effort methods engineers can use to gather qualitative user insights without formal interviews (for example: analyzing support tickets, pairing with customer success on calls, watching session replays). For each method, state one key strength and one limitation.

HardSystem Design

87 practiced

Architect an end-to-end experiment and analytics platform to support safe, rapid A/B testing across web and mobile for 100M users/day. Include components for deterministic bucketing, exposure tracking, event ingestion, near-real-time metric computation, experiment integrity (no leakage), rollouts, and how to support differential privacy or data minimization.

MediumTechnical

69 practiced

Write a SQL query to identify the top 5 user segments with the largest relative churn increase over the past 90 days. Schema:

users(user_id, signup_date, country, plan),events(user_id, event_type, event_ts)

Define churn as users with zero 'purchase' or 'session' events in the last 30 days but active in the prior 90-day window. Explain assumptions and how you'd validate segment definitions.

MediumTechnical

97 practiced

You discover that an internal metric used to prioritize features is biased due to an instrumentation bug. Describe how you would detect the bias, quantify its effect on past decisions, correct the metric and the historical view, and communicate remediation to product stakeholders.

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