A/B testing is a straightforward approach to reduce uncertainty in decision making by providing an information driven approach to determine which version of a product is simpler. The concept of A/B testing is straightforward.
- Imagine you might be at a friend’s celebration. You’ve been painstakingly working on perfecting your cookie recipe. You’re thinking that you’ve perfected it, but you don’t know if people will prefer the cookie with or without oats. In your opinion, oats give the cookie a pleasant chewy texture. Nonetheless, you’re undecided if it is a mass opinion or simply your individual preference.
- You find yourself showing as much as the party with two different versions of the cookie, cookie A has oats and cookie B doesn’t. You randomly give half of your pals cookie A, and the opposite have get cookie B.
- You choose that the cookie that gets more “yums” is the higher cookie.
- Once everyone has tasted the cookie, you discover that cookie B got more “yums” and conclude that’s the higher cookie.
