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Company Product and Design Knowledge Questions

Demonstrate a well researched understanding of the company, its major products, target users, market position, and core business model, combined with familiarity with the company design philosophy and visible product design patterns. Prepare to speak about flagship products and features, typical user demographics and needs, the engineering or product challenges the company faces, and how those constraints shape product and design decisions. For design roles, be ready to articulate what you admire about the company design aesthetic, specific patterns or interactions you observe, accessibility and usability trade offs, and how your own design sensibilities or past work align with and could contribute to that aesthetic. For non design roles, emphasize product priorities, technical or operational challenges, and how your skills would help advance those products. Cite concrete examples such as a recent feature, a product workflow, a known engineering challenge, or public design documentation to show you have done focused research.

MediumTechnical
63 practiced
Given two tables: events(event_id PK, user_id int, event_name varchar, occurred_at timestamp) and users(user_id PK, signup_date date), write an ANSI SQL query to compute conversion funnel counts and conversion percentages for these stages: first page_view -> first signup -> first purchase, where each stage must occur within 14 days of the user's first page_view. Return counts and percent conversion for each stage and the drop-off between stages.
HardSystem Design
101 practiced
Define a robust process and metric suite to measure the impact of migrating multiple product teams to a new shared design system. Include quantitative metrics (development velocity, bug rates, UI regressions, accessibility score), instrumentation needs, sampling strategy for user-facing experiments, and a plan to roll out, monitor, and, if necessary, roll back changes.
MediumSystem Design
49 practiced
Design a data schema and ETL strategy to capture UI performance metrics (page load time, time-to-interactive, first-input delay) across web and mobile products so product teams can make decisions. Describe the raw event schema, aggregation strategy, sampling policy, retention windows, and how dashboards should compute percentiles and trends efficiently.
HardTechnical
69 practiced
As a senior data analyst, you need to influence the product roadmap to prioritize three analytics-driven improvements. Describe how you would synthesize evidence from multiple analyses, build a concise business case with projected impact and required effort, engage stakeholders across design, engineering, and marketing, and secure buy-in for a phased implementation plan.
HardTechnical
48 practiced
Design a privacy-preserving analytics approach for measuring user behavior in a health-related product where user data is highly sensitive. Discuss anonymization and pseudonymization strategies, potential use of differential privacy for small cohorts, consent flows, minimal data collection principles, retention policies, and implications for experimentation and attribution.

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