Let's say your team has developed a new feature update and is planning to release it to the public. There can be some uncertainty and risk because it is hard to predict how users will react to the change. Will the new update have a negative impact and drive users away from the app? The best way to know for sure is to adopt an A/B testing approach by releasing it to a subset of users to measure its impact prior to making a full deployment. This gives you enough room to uncover bugs and refine the feature without disrupting the experience for everyone.
It has become very rare to develop software that does not require regular updates and patches. In fact, it's now the norm with the rise of agile software development. As a result, there are so many new updates to manage across our code making feature rollouts tedious and complex. Hence, turning towards a good feature flagging solution always saves the day.