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.

EasyTechnical

0 practiced

List the top five product metrics (KPIs) you would present to product managers within 24 hours after launching a new flagship feature. For each metric, explain why it matters for product/UX and how you would implement the metric in the data platform (event sources required, deduplication, timeframe assumptions).

HardSystem Design

0 practiced

The company's UI uses many micro-interactions (hover previews, tiny animations) that generate high event volume but low business signal. Propose a data architecture and processing strategy to compute reliable business metrics without incurring excessive storage/compute costs, while preserving the ability to investigate micro-interaction issues when needed.

EasyTechnical

0 practiced

Identify three consistent product design patterns you observe across the company's web and mobile experiences (for example: card-based discovery, persistent search bar, progressive disclosure). For each pattern, explain the direct implications for instrumentation and data modeling (event types, sessionization, properties to capture) and one potential pitfall for analytics teams.

EasyTechnical

0 practiced

When preparing event data for product usability analysis on the company's mobile app, list at least five data quality checks (for example: duplicate events, timezone anomalies, missing user_id, out-of-bounds timestamps, property-type mismatches) you would run before the product team consumes the report. For each check, briefly explain how you'd implement it in the pipeline.

MediumTechnical

0 practiced

Given two tables:

users(user_id STRING, created_at TIMESTAMP)
events(event_id STRING, user_id STRING, event_name STRING, occurred_at TIMESTAMP)

Write a standard SQL query to compute the conversion rate from signup to first purchase within 30 days of signup. Assume 'purchase' is event_name = 'purchase'. State assumptions about timezones, deduplication, and users with no purchases.

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