Algolia has introduced a new feature to automatically remove outliers from A/B test results, which helps customers get more accurate data. The company uses a combination of machine learning and manual configuration to identify users who are likely to be bots or other anomalies that can skew the results. By excluding these outliers, customers can get a more honest view of their test results and make informed decisions about their product improvements. The new feature is designed to improve the accuracy and reliability of A/B testing, which is an essential tool for businesses looking to optimize their search algorithms and features.