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.

MediumTechnical

0 practiced

Explain how you would instrument client-side (browser or mobile) code to measure user-perceived latency and correlate those measurements to backend service errors. Include what headers/IDs you would propagate, what events to record, and how to avoid privacy pitfalls.

HardBehavioral

0 practiced

Behavioral: Tell me about a post-incident review you led that resulted in a change to the product roadmap to improve customer experience. Explain how you built the case, handled resistance from leadership, tracked the implementation, and measured the customer impact.

MediumTechnical

0 practiced

Technical task (Python): given CSV with columns [ticket_id, created_at, subject, body, severity_label], write a script that classifies tickets as 'user-impacting' vs 'non-user-impacting' using keyword matching and outputs weekly trends. Provide sample CSV header and describe how to improve classification quality over time.

HardSystem Design

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Design a deployment strategy for a stateful microservice used by consumers in multiple regions that minimizes user-visible disruption. Compare blue-green, canary, and rolling updates in this context, explain how you would split traffic, monitor user-facing health during rollout, and define automatic rollback conditions.

HardTechnical

0 practiced

Design an automated methodology to convert incoming support tickets into prioritized reliability work items. Your approach should include ticket classification, grouping, severity scoring tied to business impact, and a feedback loop to validate fixes with customers. Describe the tooling and ML or rules-based techniques you'd use.

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