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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.

EasyTechnical
88 practiced
A large customer asks for a bespoke non-standard feature that benefits them but not most users. Explain how you'd evaluate the request as an engineer: what technical, maintenance, security and product factors you'd consider, and how you'd propose an approach that balances customer satisfaction with platform integrity.
HardTechnical
70 practiced
Implement an offline algorithm (in Python or Java) to compute bias-corrected uplift for an A/B test where exposure sampling probabilities varied over time. Input: CSV of events with columns: user_id, timestamp, assigned_variant, exposure_probability, outcome (0/1). Output: estimated uplift and standard error. Describe your method (e.g., inverse-probability weighting), provide code sketch, and state computational complexity.
HardSystem Design
68 practiced
Propose an architecture for a multi-tenant customer feedback anonymization pipeline that extracts topics and severity while ensuring tenant isolation and privacy. Describe data flow, encryption at rest/in transit, per-tenant access controls, cost trade-offs, and how to provide per-tenant exports without leaking other tenants' data.
EasyTechnical
77 practiced
A customer reports a crash in your web service but the support team cannot reproduce it. Describe the step-by-step investigation as an engineer: what telemetry and logs you would check, how you'd reproduce or narrow down causes, and how you would communicate status back to the customer while protecting user privacy.
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.

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