Product design question
How can you increase the monthly active advertisers for boosted posts on Facebook and Instagram?
- Meta
- Product design
- Medium
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What this question tests
Whether the candidate can identify specific friction points for small advertisers and propose fixes that lower the barrier to a paid boost.
How to approach it
- Define the user: small businesses and creators posting organically who haven't yet tried paid boosting, since they're the largest untapped segment.
- Name pain points: uncertainty about budget setting, confusing targeting options, and no clear expected outcome before committing spend.
- Prioritize simplifying the first boost experience: a guided, low-stakes entry point with a small suggested budget and plain-language targeting.
- Propose a feature, such as a one-tap 'boost this post' with an AI-suggested budget and audience based on the post's organic performance.
- Define success as percent of eligible organic posters who try boosting for the first time, and repeat boosting rate within 30 days.
What a strong answer includes
- Targets first-time advertisers specifically, since converting habitual boosters further has diminishing returns compared to activating new ones.
- Proposes AI-suggested budget and audience as a concrete way to remove the biggest barrier, not knowing how to set up an ad.
- Measures repeat boosting, not just first try, since a one-time trial with no return isn't real advertiser activation.
Common mistakes
- Focusing on power advertisers who already boost frequently instead of the larger untapped segment.
- Measuring only first-time trial without checking whether advertisers come back.
Likely follow-up questions
- How would you make the suggested budget accurate enough to build trust?
- What would you do if first-time boosters try it once but rarely return?
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Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 4: Discovery and strategy for AI products
- Chapter 7: AI UX and human oversight: design for a system that is wrong sometimes
- Chapter 14: Get the job: the AI PM interview loop