A/B Testing

### Giai đoạn: Nền Tảng & Khái Niệm Cốt Lõi **A/B Testing** A/B testing compares two versions of a design, showing each version to a separate group of users, to measure which one performs better against a specific metric. Because only one variable typically changes between versions, teams can attribute any difference in outcome to that specific change with reasonable confidence. It is one of the most common ways product teams validate design decisions with real user data before rolling them out fully. ### Khái niệm cốt lõi: 1. **Nắm vững khái niệm cơ bản** 2. **Áp dụng vào kiến trúc thực tế** 3. **Tối ưu hóa và kiểm thử** ### Tài liệu tham khảo chính thống: - [A/B Testing — What it is, examples, and best practices.](https://business.adobe.com/blog/basics/learn-about-a-b-testing) (article) - [The complete guide to A/B testing in 2026](https://www.kameleoon.com/ab-testing) (article) - [What is A/B Testing in Design & User Experience Research?](https://www.youtube.com/watch?v=R1jAoOvWRN0) (video)