Question bank / Data, Role Knowledge, Foundation

How to answer: Explain the difference between correlation and causation to a non-technical stakeholder.

Whether you can make a subtle idea clear to someone who makes decisions with it.

What the interviewer is testing.

Clarity and decision risk. Whether you can make a subtle idea clear to someone who makes decisions with it.

An outline for this question.

  1. Start with a plain example: ice cream sales and drownings both rise in summer.
  2. Say what the mistake costs: acting on a link that is not a cause wastes money or backfires.
  3. Explain how you would test a cause: an experiment, or a design that controls for the other factor.
  4. End with what to do tomorrow: treat it as a lead to test, not a conclusion.

The mistake to avoid.

Using the words confounder and regression. The point of the question is to avoid them.

The general method: frame, evidence, recommendation.

The same shape works for most role knowledge questions, whatever the topic.

  • Frame the problem: what is being decided and who is affected.
  • Say what evidence you would gather first, and why that order.
  • Give a clear recommendation and the risk you would watch.

Practice it, out loud.

Reading an outline is not the same as saying it. Answer this question in a mock interview, in your own words, then compare it with the outline above.

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This is a Replysis practice question. It is not a leaked or official question from any company, and the outline is a guide to structure, not a script. Use your own experience and facts.