There’s an art to asking a question and then coming up with a way to answer it. I find myself asking, What do you want to find out? The next question is How do we know what the answer is?
Maybe the easiest thing is to take you through an example.
Forming the right question
On a study I’m working on now, we have about 10 research questions, but the heart of the research is about this one:
Do people make more errors on one version of the system than the other?
Note that this is not a hypothesis, which would be worded something more like, “We expect people to make more mistakes and to be more likely to not complete tasks on the B version of the system than on the A version of the system.” (Some would argue that there are multiple hypotheses embedded in that statement.)
But in our study, we’re not out to prove or disprove anything. Rather, we just want to compare two versions to see what works well about each one and what doesn’t.
Choosing data to answer the question
There are dozens of possible measures you can look at in a usability test. Here are just a few examples: