User Research

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We conduct unmoderated UX studies, surveys, and various forms of online research every week at MeasuringU. Part of our process for delivering effective research is spending enough time up front on issues that affect the quality of results. Here are our nine recommendations for conducting better online research. Use a Study Script A study script is similar to a blueprint for online research or prototype

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We conduct a lot of quantitative online research, both surveys and unmoderated UX studies. Much of the data we collect in these studies is from closed-ended questions or task-based questions with behavioral data (time, completion, and clicks). But just about any study we conduct also includes some open-ended response questions. Our research team then needs to read and interpret the free-form responses. In some cases,

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Much of market and UX research studies are taken by paid participants, usually obtained from online panels. Our research has shown that using online panels for UX research for the most part provides reliable and valid results. While these huge sources of participants help fill large sample studies quickly, there’s a major drawback: poor quality respondents.  Reliable and valid responses only come when your data

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What makes a UX practice “mature?,” how do we measure UX maturity, and does maturity really matter? In an earlier article, we discussed the history and challenges of assessing the UX maturity of companies and departments within large organizations. Existing models of maturity generally consist of different stages, with maturity progressing from unrecognized or ad hoc to institutionalized (for example, Nielsen's steps). The models also

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User Experience improvements don’t just happen. You need to have the right people in the right positions to help make a better experience. It would be easy of course if you could just hire as many people as you want. Unless you’re Facebook or Google, that’s probably not an option. Instead, UX teams need to justify requests for headcounts. One way to justify and gauge

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In the era of big data, the issue is less about not having enough data, but about deriving enough meaning from the data you have. Techniques and tools that help quickly identify patterns and insights to help improve user experiences are becoming increasingly important. For years we have helped companies benchmark the overall website user experience with the SUPR-Q and granular task experiences using metrics

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Personas are a staple of UX research. Some 70% of practitioners report using them. Persona creation is typically a qualitative process using a small sample size. Researchers conduct in-depth interviews and observations with small samples of participants (usually 5-20 people) in order to derive a rich and comprehensive profile of individuals that use, or could use, a product or service. Personas get names, faces, and

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The range of methods available to the researcher is one of the things that makes UX research such an interesting and effective field. The recently completed UXPA salary survey provides one of the more comprehensive pictures of the methods practitioners use. It contains data from over 1200 respondents from 37 countries collected in 2016. Similar data was collected in 2014 and 2011 with similarly sized

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Online panels are the go-to method for collecting data quickly for market and UX research studies. Despite their wide usage, surprisingly little is known about these panels, such as the characteristics of the panel members or the reliability and accuracy of the data collected from them. While there isn’t much published data on the inner workings of panels, we’ve conducted our own research and compiled

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User and customer research fundamentally rely on collecting data from users and customers. But it can be a constant challenge to find the right number and type of qualified participants . Even when you find the right participants, there’s a limit to how much time they’re willing to spend filling out a survey. A common question we get from clients is how long is too

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