How do you determine the sample size for an A/B test, and what factors do you consider? How do you interpret the results of an A/B test, and what factors do you consider when deciding whether to implement the changes?

Hard Difficulty

Hard questions require advanced understanding and critical thinking. Here, your problem-solving skills are key, as these questions often involve complex scenarios needing in-depth analysis and well-structured responses.

Metrics and Experimentation question

Metrics and Experimentation questions evaluate your data-driven approach to product development. Show how you define success metrics, design experiments, analyze results, and use empirical evidence to guide decision-making.

Here's a Hint

Consider statistical power, minimum detectable effect, and significance level when discussing sample size. For results interpretation, focus on both statistical and practical significance.