A/B Testing in Data-Driven Decision Making

### Giai đoạn: Nền Tảng & Khái Niệm Cốt Lõi **A/B Testing in Data-Driven Decision Making** The role of a Product Manager often requires making informed decisions to improve product performance and user experience. This is where A/B Testing, a vital aspect of data-driven decision making, comes into play. A/B Testing, also known as split testing, involves comparing two versions of a webpage, ad, or other product experience to see which performs better. It is a methodical approach that enables product managers to determine the impact of changes and make data-driven decisions. It helps reduce the inherent uncertainty in introducing new features or changes and is a key tool in the product manager's arsenal. ### Khái niệm cốt lõi: 1. **This is where A/B Testing, a vital aspect of data-driven decision making, comes into play** ### Tài liệu tham khảo chính thống: - [Product Management Skills: A/B Testing - Product School](https://productschool.com/blog/skills/product-management-skills-a-b-testing) (article) - [When to Use A/B Testing in Product Management - Hustle Badger](https://www.hustlebadger.com/metrics/intro-a-b-testing-in-product-management/) (article) - [What Is A/B Testing in Product Management and When to Apply It - Savio](https://www.savio.io/blog/what-is-ab-testing-in-product-management-and-when-to-apply-it/) (article)