Statistics

How would you design an A/B test to compare the effectiveness of two product campaigns, given data on their performance and a goal of detecting a 3% increase in effectiveness?

Data Scientist

Google

Spotify

Twitter

Bloomberg

Capital One

Hopper

Did you come across this question in an interview?

  • How would you design an A/B test to compare the effectiveness of two product campaigns, given data on their performance and a goal of detecting a 3% increase in effectiveness?
  • What steps would you take to design an A/B test that can measure a 3% increase in effectiveness while comparing two product campaigns?
  • What would be your methodology for conducting an A/B test that can highlight a 3% enhancement in effectiveness when comparing two product campaigns?
  • Can you walk me through the process of conducting an A/B test to compare the effectiveness of two product campaigns, with a goal of detecting a 3% improvement in performance?
  • How would you create an A/B test that can measure the relative effectiveness of two product campaigns, with a desired 3% increase in effectiveness?
  • What steps would you take to ensure that your A/B test is robust enough to detect a 3% improvement in effectiveness when comparing two product campaigns?
  • How would you design an A/B test that can accurately measure a 3% increase in effectiveness while comparing two product campaigns, while minimizing the impact of confounding variables?
  • What would be your plan for conducting an A/B test that can determine whether two product campaigns differ significantly in effectiveness by a minimum of 3%?
  • Can you give me an example of how you would structure an A/B test to evaluate the effectiveness of two product campaigns and detect a 3% increase in performance?
  • How would you set up an A/B test to gauge the effectiveness of two product campaigns, and ensure a 3% improvement in their performance?

Interview question asked to Data Scientists interviewing at Elastic, Spotify, Citrix and others: How would you design an A/B test to compare the effectiveness of two product campaigns, given data on their performance and a goal of detecting a 3% increase in effectiveness?.