Metrics question
How would you measure the success of Medium?
- Metrics
- Medium
Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.
Start a mock interview on this question · Mock interview from a job description
What this question tests
Whether you can build a metric tree for a two-sided content platform, balancing readers and writers.
How to approach it
- Clarify the business goal behind success here, subscription revenue growth versus content quality and engagement.
- Recognize Medium's two-sided nature, readers who consume and writers who create, since both sides must succeed.
- Build a metric tree: a North Star like paid subscriber retention, fed by reading time per subscriber and article completion rate.
- Track writer-side health separately: articles published per month, writer retention, and earnings through the Partner Program.
- Add guardrails against gaming, like read ratio and story report rate, so the metric cannot be won with clickbait.
- Segment by content category and subscriber tenure to catch problems hidden inside the aggregate numbers.
What a strong answer includes
- Names a specific North Star, paid subscriber retention, rather than a vague catch-all like engagement.
- Balances both sides of the marketplace instead of measuring only reader behavior.
- Gives an illustrative number, assuming a 60 percent article completion rate as a healthy baseline.
- Adds a guardrail against clickbait, such as read ratio or report rate, showing awareness that metrics can be gamed.
Common mistakes
- Picking only reader-side metrics and ignoring writer supply health entirely.
- Choosing vanity metrics like total signups instead of retention or completion.
Likely follow-up questions
- How would you weigh writer earnings against reader satisfaction if the two conflicted?
- What would make you suspect the completion metric was being gamed?
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- What metrics would you track if you were PM of Facebook Birthdays?Metrics · Medium
More questions from Twitter
Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 2: Data fluency: SQL, logs, and reading the truth yourself
- Chapter 14: Get the job: the AI PM interview loop