Warm up
Q1. What is the difference between the data analysis work of a PM and the analysis work of a data analyst?
Ⅰ. A/B test design
Q2. What are the criteria and methods for selecting A/B test cases among many cases?
Q3. What target indicators do you set when designing A/B tests?
Q4. How should I determine the sample size?
Q5. How should I conduct A/B testing when there are few users?
Q6. How do I set the A/B test period?
Ⅱ. Interpreting A/B test results
Q7. When analyzing A/B test results, to what extent do you consider it a success/failure?
Q8. Please give me some tips for analyzing results and common mistakes!
Ⅲ. Other questions
Q9. Many companies ask or require experience with A/B testing. However, in an environment where it is practically impossible to gain experience with A/B testing, what kind of experience can replace this?
Q10. I am a planner. I need to convince designers and developers to do A/B testing. What would be an effective method?