Analyze Product Growth Cases

You are interviewing for a Product Growth Analyst role. Answer the following product analytics and experimentation case prompts. For each prompt, explain how you would clarify the goal, define the primary metric and guardrails, break the problem into a measurable funnel, identify what data you would inspect first, generate hypotheses, choose one intervention to prioritize, and describe how you would validate impact. Discuss possible confounding factors such as seasonality, mix shifts, supply-side effects, cannibalization, and selection bias. 1. Instagram Stories viewers: How would you improve the number of Instagram Story viewers? What data would you look at first? What product ideas would you generate? Pick one idea and explain how you would test it. 2. Boosted Post MAU: How would you double monthly active users of Boosted Posts within 6 months? Be explicit about who counts as an active user, what funnel you would analyze, what levers are most realistic in a 6-month window, and how you would separate acquisition, activation, and retention effects. 3. Reels creators: How would you grow the number of Reels creators? Describe the creator funnel, which user segments you would target first, what frictions you would investigate, and how you would balance creator growth against content quality and viewer experience. 4. Mobile Facebook login: Logged-in users on the Facebook mobile app are declining. Focus on the login flow and password reset flow. How would you diagnose the issue, what analyses would you run, what product or operational fixes would you consider, and how would you determine whether the decline is due to product friction, technical issues, or broader user mix changes?