The “Do you believe me?” test is an interesting way to help you check if you’ve picked the right indicator to measure an outcome. It helps you make sure that your outcome and indicator are really on the same level. It goes like this:
“Do you believe that [insert result] because [insert indicator].”
Example 1: Do you believe that self-management skills were improved because 25 youth participated in a workshop? NO. Counting the number of youth that participated in a workshop tells us just that, and really nothing more. We have no idea if skills were improved. Let’s try again.
Example 2: Do you believe that self-management skills were improved because the number of student altercations dropped by 31% from last semester? YES!
Check out the full article The “Do You Believe Me?” Test for Choosing Indicators by Kasia Kedzia and Chris Gegenheimer. The article has lots of other great tips, too.