What is an A/B Hypothesis?
An A/B hypothesis is an experiment used to track users, and can tell how effective your data is. The hypothesis should use two or more variants to test on a webpage. first off, variant a should be what the original website had. Secondly, variant B should include the modified variant being tested. These hypothesis’ can help determine if the data on website that is being optimized. So, before testing multiple variants at once, you should test smaller variants to make sure it works. If many variants are tested at once, it is hard to identify the problem.
What Will be Tested?
In the hypothesis formed, variant A will be how far users scroll when first landing on the page. This means that users must be on the page for at least 30 seconds and scroll at least 25% of the page. Next, variant B will be when users land on the page they must stay for at least 45 seconds. Then, they must scroll at least 75% of the page. This experiment can help identify if users are landing on the page, and staying. If they stay this can determine if the data on the website is being absorbed by the user.
When data is optimized, this can mean multiple things. One, it can help understand what your users are doing on your website. Secondly, it can help determine what information needs to be placed on the website in a place where users can easily find it. Lastly, the experiment can help understand how well your website is able to be read by your users. It can help your business make decisions on how to place valuable information on your website.