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.