UX Myths and Personalization

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Drupal Case Study: National Baseball Hall of Fame and Museum

Many different organizations find that Drupal works best for them, including the National Baseball Hall of Fame (BHoF), as examined in this Drupal case study. The museum was very excited to be able to create stories and tell interesting narratives to all, rather than just the visitors to their New York museum. Because the BHoF had a vast amount of digitized content, Drupal was the best pick, with its varied content types and fields, as well as other Drupal-specific modules that kept content bundled together. These complex workflows were a perfect fit for what Drupal could offer the BHoF which many other CMSs would not have been able to pull off adequately.

 

Marketers Stuck on Basic Data for Personalization

How basic is your company’s use of personalization? According to this recent eMarketer study, it’s probably still pretty elementary. Sure 49% of marketers expect to increase spending on personalization this year, but that doesn’t adequately demonstrate how businesses currently use it. A decently high 57% stated that they use email addresses for personalizing an experience for a user, but beyond that the numbers fall drastically. Name, location and demographics came in above 40%. This basic data fits well with another discovery of eMarketer: 80% of marketers worldwide agreed that they struggled to understand much of their data beyond simple spending history and basic demographics. When asked to look at a single customer’s data and attempt to understand that one user, 96% stated they could not build an adequate individual customer profile with the data they have.

 

Slaying 5 UX Myths for the Good of Mankind

What kind of UX myths have you been using to guide your design strategy? This new Medium post delves into the common misconceptions that surround UX. One common belief is that the way to provide a good user experience is to ask users what they want to see. Interestingly enough, users actually don’t know what they want. When a person is using a website or app, they are making so many quick decisions that they don’t consciously process, so they cannot predict what would make their experience better. An example that the author uses is on a project he worked, all the users asked for better search. In reality, it was a better navigation bar, which he discovered when he asked why they wanted better search.