This is the final outline of our book with Morgan Kaufmann. It will bring together almost a decade of research on finding the best statistical approaches to solving the most common issues in user research. Publication date is April 15 2012. Introduction & How to Use this Book Visual Guide to What Test Skipping the
Marketing and UX both play important roles in making products successful. They often compete for the same limited budget and can be at odds on product direction. I crunch numbers for both Marketing and UX groups and can’t help but notice how much both disciplines have in common. They are an unlikely couple. Here are
Recently Nielsen conducted a study on the reading speeds between the printed book, Kindle and iPad. From 24 users the study concluded that the iPad took about 6.2% longer (p =.06) and Kindle about 10% longer (p <.01) to read than the same story on a printed book. From this data Nielsen concluded “Books Faster
It’s been ten years since the dot-com flame-out began. In those ten years we’ve seen the rise of User Experience. User Experience seems to have a lot of buzz and gets attached to all sorts of activities that have little to do with the user or the experience. It has all but replaced the terms
Does a PhD pay off financially? I recently helped conduct the statistical analysis of the UPA 2009 salary survey[pdf], and used this opportunity to look into the data to see if I could calculate how much a PhD affects salaries in this profession. The dataset contains salary information for a wide range of jobs in
