Customer Focus and Impact Questions

Evaluates an outward oriented approach that centers customers and key stakeholders when making decisions, designing products, and prioritizing work. Candidates should demonstrate active empathy for end users, methods for collecting external inputs such as customer feedback, surveys, interviews, testimonials, and market signals, and show how those inputs influenced roadmaps, product or engineering trade offs, or operational changes. Interviewers look for examples of customer advocacy where the candidate influenced stakeholders to choose customer centered solutions, resisted internal pressures that would degrade customer experience, and balanced competing stakeholder needs. This topic includes translating technical and analytical work into measurable customer value, defining and tracking customer and business outcomes, prioritizing features and investments by impact, considering long term customer value, and taking ownership for customer success across contexts including product features, internal tooling, infrastructure, and process improvements.

MediumTechnical

0 practiced

Given a customers table and orders table with schema: customers(customer_id, signup_date) and orders(order_id, customer_id, amount DECIMAL, created_at TIMESTAMP), write SQL to compute a simple 3-month CLTV per cohort (cohort by signup month): average revenue per user over 90 days since signup. List assumptions and edge cases such as refunds and multi-currency.

EasyTechnical

0 practiced

You have two tables in your analytics warehouse: users(user_id PK, signup_date DATE) and events(user_id, event_type VARCHAR, occurred_at TIMESTAMP). Write a SQL query that computes the 30-day retention rate defined as the percentage of users who performed any event on day 30 after their signup date. Explain assumptions you make about timezones, users with no events, and users who signed up multiple times.

HardTechnical

0 practiced

A CEO asks you to change the definition of monthly active users to inflate reported growth. As the data scientist responsible for integrity, how do you respond? Describe how you would evaluate the request, communicate risks, propose alternatives that maintain customer trust, and ensure governance so metric definitions cannot be changed without proper review.

HardTechnical

0 practiced

A loan approval model you built shows disparate approval rates across demographic groups. As a data scientist, detail how you would detect and quantify disparate impact, propose technical mitigation strategies (preprocessing, in-processing, post-processing), evaluate trade-offs with accuracy, and present options to legal/product stakeholders while preserving customer experience.

MediumTechnical

0 practiced

You need to pilot a personalization system for new users who have very sparse behavioral data. Describe model choices and heuristics for cold-start (popularity, context-based, hybrid), how you would A/B test personalization safely, metrics to evaluate both short-term engagement and long-term retention, and how to prevent personalization from degrading user trust.

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