Skan.ai Interview Questions
The questions to prepare for Skan.ai interviews, across all roles. Questions from real interview reports rank first. Updated daily.
Determine the sample size needed to detect a meaningful A/B test effect at a chosen significance level and power.
Identify major online experimentation pitfalls and explain practical mitigations for SRM, network effects, peeking, and novelty.
Explain how to select, execute, and interpret statistical significance tests for A/B test results.
Tests career direction, self-awareness, and whether the candidate has a concrete, ownership-driven plan for growth.
Calculate monthly IRS return processing averages and three-month rolling averages with a window function.
Define a success metric for a new feature that captures real user value, not just raw usage.
Design an expand-contract migration workflow that preserves availability, compatibility, consistency, and rollback safety for a high-traffic database.
Diagnose a sudden decline in EarnIn engagement by separating data issues, product changes, user behavior, and external causes.
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Join two tables and derive palindrome, reversed-substring, and character-frequency results with PostgreSQL.
HsbcApproach a mixed interview round while summarizing completed activity with a CTE, aggregation, and left join.
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