Using A/B testing is one of the most effect UX research methods if you are trying to compare two different versions of a web page, app, or digital experience. It allows designers and product team to see results from real users and make decisions that improve engagement, conversion rates, and user satisfaction.

What is A/B Testing?

A/B testing is, in simple terms, is comparing two designs to see which one performs better. In an interview with the Harvard Business Review, Kaiser Fung, founder of the applied analytics program at Colombia University, says that A/B testing is a research method that is over one hundred years old. Users are randomly divided into two groups which each group using a different version. After analyzing the users behaviors, the research team can see which version performed better by key performance metrics.

How to Conduct an A/B Test

To conduct A/B testing for your website or app design, follow these steps:

1. Identify the Goal: What are you looking to improve with your research? Your goal could be to increase click-through rates, reduce bounce rates, or improve form fills.
2. Select the Variable to Test: Based on your goal, choose one element to change such as, button color, headline text, or call-to-action placement.
3. Create Variations: Design two versions with one design being your control and one being your variant.
4. Split Your Users Randomly: Split your participants into two even, randomly sorted groups.
5. Run Your Test: Let your users test the product and monitor how they interact with each version.
6. Analyze the Results: Review the data and see which variant performed better.
7. Implement the Higher Performing Version: Apply the better performing version permanently.

A/B Testing Studies in the World

HubSpot conducted an A/B test using their HubSpot Academy site to test the conversion rate of the site’s hero image. Seeing that they were lacking clicks on the video in their hero section, HubSpot decided conduct an A/B test in order to get more clicks. Using their original design as the control, HubSpot design two other variations using more vibrant colors and imagery. At the end of the study, they found that variation B outperformed the others by 6%. HubSpot was able to predict 375 more signups per month using this variation.

The New York Times has also used A/B testing when it comes to their headlines. About 29% of their articles have different headlines due to A/B testing. They have found that the more emotionally engaging headlines result in high click-through rates than more neutral ones. This shows the editorial team that creating more compelling titles will get the New York Times more clicks on their articles.

Why A/B Testing is Essential for UX Success

A/B testing is a great UX research method that allows teams to make informed decisions based on real user behavior. By always testing and refining their product, businesses can enhance user experience, boost engagement, and drive more conversions ultimately ending in higher rates of user satisfaction.