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

0 practiced

What is a 'North Star' metric? As an engineer, describe three concrete ways your technical work can be aligned to and measurably improve the company's North Star metric, with examples.

MediumTechnical

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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.

HardTechnical

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You are building a new enterprise product vertical where the sales organization owns most customer interactions. How would you set up processes to keep engineering teams customer-obsessed: propose feedback loops, SLAs for evaluating feature requests, mechanisms for prioritizing customer asks vs product roadmap, and measurable outcomes to monitor alignment.

MediumTechnical

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You conducted usability tests and found significant confusion on a core flow. Product stakeholders want to ship anyway for a revenue opportunity. How would you persuade them to delay or change the launch? Provide the structure of your argument, what data you would collect rapidly, and what mitigation you would propose if a full delay isn't possible.

MediumSystem Design

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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?

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