4 posts tagged with "experiment"

Suppose you come up with an idea to improve the conversion rates on your website. You could implement the idea and roll out the changes to all users. But what happens if the idea is only good on paper and fails in reality? In cases like this, conducting an A/B test is an excellent way to validate your idea.

In the upcoming sections, we'll learn how to set up an A/B test using ConfigCat feature flags and visualize the test's data in Google Analytics.

Experimentation, at its core, is about navigating through the unknown, testing new ideas, and iterating based on feedback and results. It's a practice that could be applied to the business world, where hypotheses are formed, tested, validated, or refuted. This approach is crucial in an environment where customer preferences and market dynamics constantly shift rapidly.

Feature flags are becoming a prominent part of DevOps practices and for good reason. They allow you to turn features in your live application on or off without redeploying code. You might think that something so powerful would require some rocket science-level programming to implement, but you'd be surprised to know that, at their core, feature flags are booleans and if-then-else statements.

Okay, that's an oversimplification of things, but it's true. And while there are different ways of implementing feature flags, they all share this common core. That said, let's take a broader look at feature flags and their uses in modern software development.

Most companies believe they understand the customer, only to be shocked when their customers behave differently than what they expected, either intentionally or unintentionally. That's where A/B testing comes in to kick all these doubts and prevent the shock.

We’ll play around to see how A/B testing works with ConfigCat’s feature flag management service to take your experiments to the next level by giving you the ability to remotely control and configure your features without going back to the code.