{"id":177706,"date":"2025-07-10T10:39:08","date_gmt":"2025-07-10T03:39:08","guid":{"rendered":"https:\/\/it.telkomuniversity.ac.id\/a-b-testing-adalah\/"},"modified":"2025-07-10T10:50:01","modified_gmt":"2025-07-10T03:50:01","slug":"what-is-a-b-testing","status":"publish","type":"post","link":"https:\/\/it.telkomuniversity.ac.id\/en\/what-is-a-b-testing\/","title":{"rendered":"A\/B Testing: A Method to Identify the Best-Performing Software"},"content":{"rendered":"

A\/B testing<\/strong> is a testing method used to compare two or more software variants directly in a live environment to determine which one performs best from the user’s perspective.<\/p>\n

Before launching a product, companies often conduct A\/B testing as an evaluative process. This is a method to ensure that the product offered to consumers meets the desired quality standards. If you’re not yet familiar with how this testing method works, read the full explanation below.<\/p>\n

What is A\/B Testing?<\/strong><\/h2>\n

A\/B testing, also known as online controlled experimentation<\/strong> or continuous experimentation<\/strong>, is a testing method used to compare two or more versions of a software product in a real-time environment to determine which performs better from the end-user\u2019s perspective.<\/p>\n

Common examples include websites and mobile apps. The two alternatives being compared are referred to as Variant A<\/strong> and Variant B<\/strong>. These usually share the same fundamental structure, but have certain differences\u2014such as color, size, placement, or other UI elements\u2014which may result in different user responses. This method is vital for data-driven decision-making<\/strong>.<\/p>\n

A\/B Testing Process<\/strong><\/h2>\n

The A\/B testing process typically consists of three main stages<\/strong>: design<\/strong>, execution<\/strong>, and evaluation<\/strong>.<\/p>\n

1. Design Phase<\/strong><\/h3>\n

This phase involves defining the parameters to be tested, such as the target population, the duration of the experiment, and the A\/B metrics. Teams involved at this stage include UI\/UX designers.<\/p>\n

Key parameters to define include:<\/p>\n