How would you grow key product metrics?

You are interviewing for a **Product Growth Analyst** role. Answer the following **product growth / analytics case prompts**. For each prompt, clearly state: - **Clarifying questions** (what you must know about the product, user, surface, and metric definition). - **What data you’d look at** (events/tables, segments, funnels, cohorts). - **How you’d generate ideas** (levers, hypotheses) and **prioritize** them. - Pick **one idea** and describe how you’d **test/validate** it end-to-end (experiment or quasi-experiment), including: - Primary metric + diagnostic metrics + guardrails - Unit of randomization, duration, power/MDE considerations - Risks: confounding, novelty, seasonality, network effects, logging gaps ### Prompt A — Improve Instagram Story Viewers “How would you improve *Instagram story viewer*?” - Define the target metric (e.g., viewers per story, total story views, story viewer DAU/WAU). - Consider both **viewer-side** and **creator-side** levers. ### Prompt B — Double Boosted Post MAU in 6 Months “Double *Boosted Post MAU* in 6 months.” - Explicitly define what “Boosted Post MAU” means (e.g., unique creators who boost a post monthly, or unique users who engage with boosted posts). - Provide a 6-month plan and how you’d measure progress. ### Prompt C — Grow Reels Creators “Grow Reels creator.” - Define creator funnel stages (e.g., eligible → creates first reel → publishes → gets distribution → returns to create again). - Propose interventions and measurement. ### Prompt D — Increase Logged-in Users on Mobile FB App “Increase logged-in users on the mobile Facebook app (focus on login flow, password reset, etc.).” - Identify where the login funnel breaks and propose fixes.