Surveys are a great way to capture quantitative data about your users. We like to use surveys as a control mechanism to validate our user research and confirm our findings. However, they’re also nice to gauge an accurate portrayal of where things stand currently and give hints on where to improve.
We craft our questionaries based on three types of survey questions:
- Demographic – Information like age, job title, gender, location, etc. This information helps us segment our users into certain categories, which allows us to put the data we observe in context with our findings.
- Satisfaction – How satisfied are they with the product? How would they rate their experience? How could it be improved? Were you able to find what you were looking for?
- Behavioral – Were you able to successfully complete the scenarios? Would you have been able to do this on your own without assistance?
One of the greatest advantages of conducting a survey is that we can collect quantitative data about your users. Assuming the questions are non-leading, surveys can provide objective and honest feedback that would not have been relayed in a user interview or cognitive walkthrough.
