Metrics question
How would you measure the success of Instagram’s close friends stories feature?
- Metrics
- Medium
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What this question tests
Metrics thinking for a niche, intimacy focused feature where engagement volume alone would be a misleading success signal.
How to approach it
- Clarify the feature's purpose: close friends stories let users share more casual, personal content with a smaller, trusted audience, which is about depth, not reach.
- Define the north star: percentage of active users who maintain an active close friends list and post to it regularly, not total posts platform wide.
- Add a quality metric: reply or reaction rate on close friends stories compared to regular stories, since a more intimate audience should drive higher engagement per view.
- Add a retention link: whether close friends list users show higher overall app retention than users who don't use the feature, since it may deepen platform stickiness.
- Add a guardrail: list churn, meaning users removing people from or abandoning their close friends list, which signals the feature isn't delivering the intended trust.
- Set an illustrative target, for example assuming close friends story users show a 10 percent higher 90 day retention than non users.
What a strong answer includes
- Correctly identifies that this feature should be measured by depth and intimacy, not raw volume, matching its actual purpose.
- Compares engagement rate on close friends stories against regular stories as a meaningful quality benchmark.
- Gives an illustrative retention lift number, connecting the feature to a broader business outcome, not just its own usage.
- Names list churn as a guardrail, a subtle but real signal that the feature isn't building the intended trust.
Common mistakes
- Measuring only total posts or total users who tried the feature once, missing whether it's actually valued.
- Ignoring the retention connection, missing the chance to show this feature's broader business value.
Likely follow-up questions
- How would you distinguish users who tried the feature once from those who use it as a habit?
- How would you know if the feature is cannibalizing engagement on regular stories rather than adding incremental value?
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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