Strategy question
The Facebook Jobs product has been launched and achieved initial product-market fit. How would you set the direction, establish goals, and measure success?
- Meta
- Strategy
- Hard
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What this question tests
Strategy and execution for post-launch growth: setting direction and metrics for a product that has found early product-market fit.
How to approach it
- Clarify the current state: Facebook Jobs has early traction, and confirm what 'product-market fit' looked like, e.g. repeat employer postings.
- Set direction: decide whether to focus on deepening usage (more applications per posting) or expanding reach (more job categories or regions).
- Establish goals: grow qualified applications per posting and employer retention, rather than just raw job postings.
- Define a metric tree: postings created, applications submitted, hires made, and employer repeat-posting rate.
- Propose a roadmap sequence, prioritizing the highest-leverage lever first, such as improving applicant-employer matching quality.
What a strong answer includes
- Chooses hire quality and employer repeat usage as the core goal, not vanity metrics like total postings.
- Builds a clear metric tree connecting postings to actual hires, the real value delivered to employers.
- Proposes a specific sequencing decision, like prioritizing match quality before expanding to new regions.
- Uses an assumed metric, e.g. targeting a 20 percent employer repeat-posting rate within two quarters.
Common mistakes
- Optimizing for raw job posting volume instead of actual hires or applicant quality.
- Giving no clear sequencing or prioritization for what to build next.
- Not defining a metric tree connecting activity to real business value.
Likely follow-up questions
- How would you measure hire quality, not just that a hire happened?
- How would you decide between deepening the product versus expanding to new regions?
- What would make you deprioritize this product if traction stalls?
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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 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 14: Get the job: the AI PM interview loop