In this talk I explain why I believe that experimentation is much more than A/B-testing.
I show that there are numerous other methods of experimentation and A/B testing is only one of them. It's also an expensive method and only helps understand the "what", but not the "why"-questions.
In order to find the best matching experiment method I show how to work backwards from the assumption.
Then I show some #NoCode tools that allow you to start as simple as possible. No need to write a line of code to get started with experimentation - and learning!