If your stakeholders have tasked you with moving beyond science and experimentation into creating enterprise data products or analytical decision support tools that will show some business or user/customer value, then whether you’re a designer or not, there are UX research techniques you can apply today to increase your success. While machine learning, AI, and advanced analytics remain in the “hype” cycle, data teams still struggle to design engaging, valuable decision support tools that customers love. Why? Solutions are too often data-first and human-second, leaving customers scratching their head. In this interactive session, Brian will share some UX & design strategies that can help leaders create more engaging, useful, and usable analytics software that is rooted in what users and stakeholders actually need. He will end the ssession with some research interview practice (in pairs) so that participants can hopefully avoid creating one of the “80% of analytics insights that won’t deliver outcomes through 2022” (according to Gartner!)