Creating a Falsifiable Statement

Create a testable hypothesis so that you can figure out if your assumptions are true.
What is/Outcomes
Turning your assumptions into falsifiable statements means that you have something to test. You now know what valid and invalid assumptions might look like. The statement has specific, quantifiable metrics that you can use to determine whether to keep going with your product or feature or whether you need to seriously rethink things.


You’re going to need to find ways to figure out if you were right.

The first step is to understand what “right” means. You also need to know what “wrong” means.

For this exercise, you’re going to take your riskiest assumption and turn it into a falsifiable statement. This is your hypothesis statement. A good hypothesis statement includes:

1. What you believe to be true.

2. A quantifiable way of knowing whether you were right.


  1. We believe most of the people in our target persona group own at least two different devices on which they want to access the same files.
  2. We will know this is true if 80 out of 100 people within that persona group have a specific story about wanting to access the same files from more than one device within the past month.