A Few weeks ago at Google I/O extended event, during the talk of my colleague someone asked a question “How can we design fail-proof UX Survey for our product and services?”
You can’t, I can’t and no one can (I guess).
There is no such thing as fail proof. We can just use our learnings to design a better survey experience. So that it gets us the desired learning about our users by making the surveys stink less.
So first thing first
User research is undoubtedly an important part of a product cycle whether we are launching a new product, adding a feature or Improving one.
User research is the systematic study of the goals, needs, and capabilities of users so as to specify the design, construction, or improvement of tools to benefit how users work and live.
User research is the systematic study of the goals, needs, and capabilities of users so as to specify the design, construction, or improvement of tools to benefit how users work and live.
User research is an umbrella of tools and methods of knowing who our users are, what do they want to achieve, what do they think of your product and more.
There are various ways of User Research such as User Interview, Ethnography Research, Personas, A/B testing, UX Surveys and more. For this article, we are going to focus on User Survey. How to Design them, Advantages, Disadvantages and How to Increase participation in your UX Surveys.
A form, which people answer on paper or online. These can genuinely feel anonymous, which is useful.
A form, which people answer on paper or online. These can genuinely feel anonymous, which is useful.
UX Surveys are the Quick and relatively easy way to get data about your users and potential users. But it’s equally risky as with a wrong line of questioning you will create a survey that will lie to you or of no use.
Surveys are an effective way of gathering feedback on a live product, exploring a company’s USP, Contextual inquiry, refine a new feature, lowering the risk on a poor solution.
Surveys consist of majorly two types of questions:
Closed Questions: These questions get the quantitative data from the users. It doesn’t tell us about the context, the motivation, the cause for the response. These questions are accompanied with the checkbox, radio buttons. The data obtained can be easily visualized with the help of graphical representations.
Open Questions: Open Questions are the qualitative data about a user’s behavior, action. It tells us how the user thinks about a problem. These questions required a text box to explain the cause. The Qualitative responses tend to take a lot longer to analyze.