Sample size computations can seem like an art. Some assumptions are involved when computing sample sizes, but it should be more math than magic. A key ingredient needed to cook up a sample size estimate is the standard deviation. You need yeast to make bread, and you need a measure of variability to make an
UX professionals use many methods to help understand and improve the user experience. Among the most popular are usability testing, expert reviews, surveys, and card sorting. But where did these methods come from? The field of UX research is relatively new, but its methods are not. And while UX methods may have new names, many
UX has no shortage of models, methods, frameworks, or even catchy acronyms. SUS, TAM, ISO 9241, and SUPR-Q to name a few. A relatively new addition is the HEART framework, derived by a team of researchers at Google. And when Google does something, others often follow. HEART (Happiness, Engagement, Adoption, Retention, and Task Success) is
A better user experience can lead to increased satisfaction, more loyal customers, and ultimately more revenue. But what does it take to deliver a better user experience? Will applying one of the many methods, or hiring the right UX designer or researcher suffice? There is a general sense in the UX community that a mature
There are a lot of methods to use to improve the user experience. We detailed many of them in an earlier blog. We know many of you are visual learners so we created an infographic of when to use which UX method. To help evangelize these methods and approaches we created a high resolution two-sided
