More details about A/B tests — did you participate in setup and launch or did analytics help?

A/B testing is a method of comparing two versions of a product or feature to understand which one performs better based on key metrics.

In my practice, I have been involved both in setting up and launching A/B tests and working closely with analysts. The process usually looks like this:

• Formulate a hypothesis and select metrics for evaluation.
• Collaborate with analysts to develop an experiment plan, determine the sample size, and define significance criteria.
• Set up the technical part: dividing users into groups, data collection.
• Launch the test and monitor.
• Analysts assist with processing results, statistical analysis, and interpretation.

This collaborative approach not only ensures a correct experiment but also provides valuable insights for decision-making.