Blog

In collaboration with Mina Rohani.       

     User experience research aims to be able to provide information that seeks to provide insight to the user, provide context for usability, and asses potential problems while creating solutions. In short, the aim of user experience research is to gather information. This information can be used to identify facts or patterns, highlight problem areas, and reach conclusions about users and the usability of a product. Research teams then are tasked with deciding which types of research methods, tools, and techniques they are going to utilize to try to obtain their information. Typically, research methods are split into two categories: qualitative and quantitative. In this article, we elaborate on the differences between the two methods, their individual uses, and benefits in user experience research.

      Online diaries are a unique way to learn about respondent experiences in natural settings and allow researchers to gather and collect situational and qualitative feedback. In an online diary, users are given missions or tasks and just like a diary asked to log in entries. If you are interested to learn how customers go about considering and researching a product for purchase, or the usability of a piece of hardware over a longer period of time, then an online diary allows respondents to keep track of what they are doing, sites they are visiting, how they are using the products, as well as their overall impressions and satisfaction. Also, it incorporates time into research and helps get a more comprehensive perspective (e.g., what resources or sites are considered as part of the decision making journey or how is the usability of a product integrate within a user's’ lifestyle).

     Let me ask you a question. Have you ever asked yourself, "where should I connect with my users to get the feedback I need?" After deciding how to proceed, did you get the answers you were seeking? If not, perhaps where you met the user wasn’t the ideal place.

     At KLI, we help our clients identify the most ideal venue based on a number of factors: the type of questions they have, the type of data/observations they seek, the amount of time they have, and their budget.

Did you know Key Lime Interactive has major, big-time, all-star Quantitative Researchers on our team? Maybe you've met them, or maybe you haven't, but here is your chance to know them better.

Choosing the proper tool for the task is important in any profession, whether you’re a carpenter, a surgeon, or a UX Researcher. But on a tight budget or a tight schedule, it can be difficult to put aside time to research different offerings, compare pricing and capabilities, and select the right online survey tool. Luckily, at Key Lime Interactive, we’ve spent years working with some of the most popular survey tools on the market, and can help point you in the right direction. To help with this, we’ve created a flow chart that helps point businesses of all sizes in choosing the right survey tool for quantitative ux research. Before we get to the chart itself, let’s talk about a few major considerations to make prior to selecting the right tool.

 It’s important to start by building a strong foundation for your benchmarking study. This is not a one-off project. You’re designing it once, to run multiple times. So, before you jump in, first make sure you take the time for proper planning by asking and answering some essential questions, like how to plan for a quantitative UX competitive benchmark study.

Are you a User Experience professional who uses online survey tools to deliver insights? If so, you’re in luck! For the last four years, I’ve been working extensively with various online survey tools to deliver everything from simple one-off consumer surveys, to large scale multinational Competitive Benchmarking tests. Throughout that time, I’ve had endless opportunities to experiment with different design methods and survey tools - and to make mistakes, and learn from them - so that you don’t have to. In this article, I would like to share with you some of the potential pitfalls to designing and programming these studies that you can avoid in your next survey. Proper survey design can save you countless hours of frustration when it comes time to analyze the data and deliver your report.