Usability and A/B testing create more customer-centric experiences and increase conversion rates. Although there are misconceptions about which option delivers the best results, they both complement each other. When combined, they play a valuable role in measuring your customer experience.
Although there are drawbacks and benefits to using both, they help uncover human insight to enrich your design. We’ll dive deeper into usability and A/B testing. Let's start with usability testing.
What is usability testing?
Usability testing is observing how users interact with—and how they respond to—your product. These days, usability testing can include remote, unmoderated tests that are set up beforehand and taken by your ideal user.
From preference testing to discovering where users get stuck and confused, usability testing quickly highlights areas for improvement both before and after a product launch.
Why is it valuable?
Usability testing ensures your designing a product that matches your users' needs and wants.
Designers can identify hidden issues within designs. For example, your user attempts to complete a task, but a broken link or button interferes with the functionality of your application and prevents them from doing so. When you're aware of the design issues, you can use user feedback to improve upon any pitfalls with the usability of your design.
Your organization will uncover insights about your users, like their behavior, needs, and pain points, which will go far in creating an ideal end product for your users.
What are the limitations?
Usability testing can be expensive and time-consuming. For starters, to obtain the highest quality insights, your team has to find test participants that resemble and match your target customer, and this process may take a while.
There's a chance that test participants may behave differently during usability testing because they're not in their natural environment. Due to this, test results may not paint the whole picture.
What is A/B testing?
A/B testing, sometimes known as split testing, is a randomized process of presenting users with two different versions of a website—an A version or a B version to observe which one performs better.
Key metrics are then measured to see if variation ‘A’ or ‘B’ is statistically better at increasing business KPIs. Determining and implementing the winning variation can lead to uplifts in conversions and help with continuous improvement in customer experience.
Why is it valuable?
A/B testing alleviates speculation about which version of your software aligns with your audience. Depending on the number of conversion rates, you know which changes to your design are helping boost sales and conversions. For example, if you change your CTA, and one CTA has more conversions than the other one, you know that the former CTA is more effective. And, when you go further and enhance your a/b testing with qualitative data, you better understand your target customer and how to resonate with them.
What are the limitations?
Due to the quantitative nature of A/B testing, designers receive few qualitative insights to explain the reasoning behind users' choices. All you know is that one design change resulted in more conversions than the other, but you cannot determine whether further improvements can yield the same or better results unless you conduct more testing, which includes more time.
It takes time for designers to identify what aspects of their website to test, and designers may end up constantly testing. Let's say you tested two CTA options, but you also want to know if changing the colors of the CTA will increase sales. To receive further results, you have to test more which could be time-consuming.
When to use usability testing or A/B testing?
Both methods satisfy different goals, and it's best to use both interchangeably. Usability testing explains users' behaviors and why they decide to do an action, whereas A/B testing explains users' preferences and what feature performs the best on your site.
Usability testing provides qualitative data, and A/B testing explains the quantitative data. For optimal results, use both options. When you seek to better understand your user, use usability testing. When you want to know how to optimize your site for better conversions, use A/B testing.
The intersection of quantitative and qualitative data methodologies is where human insights come to life. Both methods can be helpful but combined, they allow you to see things you may have missed.