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Customer Needs and Problem Analysis Questions

Focuses on a structured process for discovering and diagnosing customer technical and business challenges prior to recommending solutions. Core elements include identifying the customer business objectives and success metrics, mapping stakeholder roles and decision criteria, assessing the current technical environment and constraints, uncovering pain points and inefficiencies through targeted questioning and observation, determining scope and nonfunctional requirements such as performance and security, verifying assumptions about infrastructure team capabilities timeline and budget, performing root cause analysis to separate symptoms from underlying issues, and producing a prioritized set of customer requirements and recommended next steps or solution approaches.

EasyTechnical
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Easy: Describe three concise techniques to elicit tacit knowledge from domain experts who are too busy to provide long interviews, ensuring you still capture critical system constraints and hidden workarounds.
EasyTechnical
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What are the top five nonfunctional requirements you always confirm during discovery (for example performance, security, compliance), and what concise questions would you ask to validate each requirement with the customer?
EasyTechnical
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Explain the difference between a symptom and a root cause in a customer technical issue. Provide a concise example where repeated API timeouts were a symptom and explain how you would uncover the underlying root cause.
MediumTechnical
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Medium: A prospect asks for a prioritized list of monitoring alerts to create immediately after a migration. Which five alerts would you prioritize, why, and what precise alert thresholds or conditions would you recommend for a production ecommerce platform?
HardSystem Design
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Hard: A customer with strict compliance must support data residency across three countries, but their current architecture centralizes logs and analytics in one region. Propose an architecture that supports regional residency while enabling cross-region analytics, and discuss trade-offs in cost, latency, and complexity.

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