Articles by Jan Overgoor
- Experiments at Airbnb
This article uses case studies to explain common pitfalls in A/B tests: hitting "significance" early (solution: calculate sample size for a treatment effect ahead of time), tracking the impact of changes in different contexts (example: different browsers), and making sure your A/B testing system works (using A/A dummy tests).