Will showing the number of book copies sold on my website encourage more people to buy it? To answer this question confidently, I can rely upon A/B testing for guidance. This method of testing allows us to evaluate two versions of a website or app by releasing them to different user segments to see which one performs better.
Software development is a really challenging endeavor. A lot of time and energy has to go into making sure that customers like what you're building for them.
Many people make the mistake of thinking that product development mainly consists of coding. Developing a product (ideally) needs specialists, managers, tactics, and various tools. A good idea can indeed go a long way, but if you want to give your product the highest possible chance to penetrate the market, then you need to allocate all possible resources that you have available to throw at it.
Knowing up front whether a new feature will improve or worsen user experience can be a challenging decision. If we don't adopt the proper mechanisms and processes to test new features, we stand a high risk of introducing new bugs. By incorporating A/B testing into our feature release workflow, we can minimize these situations by testing the new feature with a small sample of users before deploying it.
In this post, we'll put this into practice by A/B testing a pricing feature on a demo Angular website. We'll track the performance of two variations to see which one attracts more clicks.
Feature flags have greatly simplified the process of continuously testing and integrating new features into our applications. They ensure confidence even in production environments, eliminating deployment risks such as downtimes or bugs that could adversely affect the entire user base.
