Metrics question

What metrics will you use to calculate the happiness index of customers for the Medium blog?

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What this question tests

Metrics design skill for a qualitative concept, happiness, forcing you to build a proxy metric tree grounded in behavior.

How to approach it

  1. Clarify what happiness means here, likely reader satisfaction and writer satisfaction are both relevant for Medium's two-sided model, so confirm which side is in scope.
  2. Break happiness into observable proxies rather than trying to measure it directly: engagement depth, return behavior, and explicit feedback.
  3. Propose reader-side metrics: time spent reading relative to article length, return visit frequency, and claps or highlights per session.
  4. Propose writer-side metrics if in scope: publishing frequency, follower growth, and earnings via the partner program.
  5. Add a direct signal, a periodic short survey like NPS, to validate that behavioral proxies actually track satisfaction.
  6. Combine into a composite index, but flag that any single proxy can be gamed, so use multiple signals together.

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