Every month in this column, our Ask UXmatters experts answer our readers’ questions about user experience matters. To get answers to your questions about UX strategy, design, or user research in an upcoming edition of Ask UXmatters, please send your questions to us at [email protected].
In this month’s edition of Ask UXmatters, our panel of UX experts discusses how UX design for artificial intelligence (AI) applications differs from designing a traditional application. A panelist warns the questioner about the dangers of over-relying on artificial intelligence instead of defining a product that truly meets users’ needs.
Our experts then consider the role of User Experience in the creation of AI applications—especially those that rely on machine learning (ML). Their discussion ranges from the importance of user advocacy, the value of doing user research, how to avoid bias, defining high-quality training data, transparency to users, and gaining user trust by ensuring that the user feels in control of an AI application. This column concludes with a brief discussion of the need for UX design best practices for AI applications. Read More
This month in Ask UXmatters, our panel of UX experts discusses how development teams’ prioritizing the use of agile or Lean methodologies affects the practice of User Experience. Our panelists lament how the goal of speeding up development devalues UX research and design, leads to design inconsistencies, and encourages product-team members to take shortcuts. Agile and Lean’s focus on speed can also make it more difficult for product teams to keep the big picture in mind.
Some companies have even decided that their use of agile or Lean methodologies means they can reduce the number of UX designers and researchers working within their organization—or that they can even bypass UX research and design altogether. This is a big problem! Read More