In hypothesis testing, we are interested in quantifying evidence against the null so that we can decide when to reject it. Many statistical tools have been invented for this task, including p-values, e-values, and Bayes factors.
As a philosophical aside, note that the word “evidence” is well-defined in hypothesis testing since it is a small-world (see small worlds vs large worlds and evidence is quantifiable in small-worlds.