Company Research and Knowledge Questions

Demonstrates that a candidate has researched the specific employer and can discuss its mission, products or services, business model, market position, competitive landscape, recent announcements, and any relevant technical or regulatory considerations. Interviewers look for concrete references such as product features, strategic initiatives, engineering signals, or public communications and expect candidates to tie that research to how they would add value in the target role. Preparation includes building informed questions, understanding target customers and metrics of success, and knowing role specific context such as likely projects, typical deliverables, or relevant parts of the technology stack.

HardTechnical

0 practiced

Describe multiple approaches to estimate Customer Lifetime Value (LTV) for both subscription customers and one-time-purchase customers at this company. Discuss cohort-based aggregation, survival analysis, discounting future cash flows, treatment of refunds and returns, and how to run sensitivity analyses for churn assumptions.

HardSystem Design

0 practiced

Design a company-wide metric taxonomy and naming convention to prevent metric sprawl across multiple product teams. Specify naming rules, canonical metric examples and definitions, ownership assignments, versioning and deprecation policy, and a lightweight review process for approving new metrics.

MediumTechnical

0 practiced

Given simplified example tables in PostgreSQL: users(user_id bigint, created_at timestamp), events(event_id bigint, user_id bigint, event_name text, occurred_at timestamp). Write a SQL query (Postgres dialect) to compute weekly retention cohorts measuring the percentage of users who return in each week for 12 weeks after signup. Describe how you would present this output visually in Tableau and any timezone or partial-week handling assumptions.

MediumTechnical

0 practiced

Explain how you would build a quantitative view of the competitive landscape using public signals such as web traffic (e.g., SimilarWeb), app-store rankings, pricing pages, social engagement, and hiring/activity in job postings. Describe normalization strategies, refresh frequency, and limitations for each data source.

EasyTechnical

0 practiced

Based on your research, identify the company's core business model (for example: subscription, freemium, ad-supported, or transactional). Explain which single north-star metric best represents long-term health for that model, and list three supporting operational metrics you would track to optimize toward that north-star.

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