The interview process was structured and smooth. It began with a recruiter screening, followed by a technical round focusing on SQL, product metrics, and data case studies. Next was a product thinking round with scenario-based questions about user behavior and feature adoption. The final round involved behavioral questions and a discussion with the hiring manager about collaboration with cross-functional teams. Overall, it was engaging and gave me a good sense of the role’s responsibilities.
Interview questions [1]
Question 1
Q: What product metric would you track if you were launching a new feature like “Dark Mode”?
A: I would first define the feature's goal — e.g., improving user engagement or reducing eye strain. Key metrics would include feature adoption rate, engagement time post-adoption, retention rates among users who enabled the feature, and any change in churn. I’d also use A/B testing to assess user satisfaction.
Question 2
Q: How do you calculate 7-day retention using SQL?
A: I use a cohort-based approach. I find the user’s signup date (Day 0), then check if the same user returns exactly 7 days later. I use CTEs to track both events and calculate the retention rate as Day7 users divided by Day0 users.
