Q1
Walk me through how you would design and set up a cohort analysis to measure the impact of a new onboarding feature on user retention. What metrics would you track, and which tools would you use?
Why they ask this:* Assesses understanding of analytical frameworks, metric selection, and practical tool proficiency (SQL, analytics platforms) essential for data-driven growth decisions.
Q2
Explain your approach to A/B testing a homepage redesign. How would you determine sample size, statistical significance, and decide whether to roll out the winning variant?
Why they ask this:* Tests knowledge of experimental methodology, statistical rigor, and ability to design tests that drive reliable growth insights rather than vanity metrics.
Q3
Describe how you would build and prioritize a growth roadmap using frameworks like RICE or ICE. Walk through a real example of how you'd apply this to rank three potential initiatives.
Why they ask this:* Evaluates framework fluency, prioritization logic, and ability to communicate growth strategy clearly to stakeholders—core skills for a mid-level growth manager.
Q4
What marketing attribution model would you recommend for a company with a multi-touch customer journey (social ads, email, organic search, direct)? What are the limitations of your recommendation?