When the designers have a proposed solution, it can be A/B tested.
A/B testing is a method where you have two versions of a page/site to present to the user.
Version A, usually the current version, and version B with a proposed solution.
The A/B testing tool presents 50% of users with the new B version while keeping the other 50% on the A version.
The test is deployed to the site for a period of usually 2 weeks.
During this time, you compare which version converts better.
This kind of testing at scale is very useful if you believe you have a solution.
And your site already has users.
Making it easy to A/B test increases the likelihood that new solutions are tested.
Instead of deploying changes that you think help the customer, you may as well test if it actually does.
– Samy
Component Analytics daily
Every weekday, I publish about Component Analytics and analytics collection strategies.
