User Survey

Qualitative surveys ask open-ended questions to find out more, sometimes in preparation for doing quantitative surveys. They are the quick and relatively easy way to get data about your users and potential users. Test surveys to eliminate problems.

To develop products in the right direction, we all need to research our users’ experiences, discover their needs, and unpack the insights. That’s how we build and design solutions, and the user plays a lead role in this fascinating movie.

Sooner or later, most UX professionals will need to conduct a survey. Survey science from the quantitative side can be intimidating because it’s a specialized realm full of statistics, random selection, and scary stories of people going wrong with confidence. Don’t be afraid of doing qualitative surveys, though. It’s important to learn from survey experts, but you don’t have to be a survey specialist to get actionable data. However, you do have to find and fix the bugs in your questions first.

As product managers, designers, and researchers, we have a large toolset to discover what our users want and how it corresponds with business needs. We are like the screenwriters of the next hit blockbuster, creating characters, writing their stories, and developing the parts that users play in our products. But how should we figure out what matters the most? This is where a thoughtful UX survey can come in handy.

Surveys are an effective way of gathering feedback on a live product, exploring a company’s USP, conducting contextual inquiry, refining a new feature, and lowering the risk of a poor solution.

Surveys consist of majorly two types of questions:

Closed Questions: These questions get quantitative data from the users. It doesn’t tell us about the response’s context, motivation, or cause. These questions are accompanied by the checkbox and radio buttons. The data obtained can be easily visualized with the help of graphical representations.

Open Questions: Open Questions are qualitative data about a user’s behavior and actions. They tell us how the user thinks about a problem. These questions require a text box to explain the cause. Qualitative responses tend to take a lot longer to analyze.