Role: Product Designer, primarily User Experience design with prototyping and work with Front-End Devs coming into play. This role was unique in that my background in engineering and information science really came into play across the data-visualization work.
Company: IBM Design
Years: Early 2016 to 2017
This was one of my favorite projects at IBM. It was a redesign of SPSS modeler (with marketing work towards renaming the new product that I wasn't part of). But the general steps were looking at a number of unique data-visualization pieces of SPSS and and working hand in hand with both the engineers creating the new product and the data-scientists at IBM who were using it to create a modern and more intuitive product.
The connected screens show a variety of iterations we went through, going from extremely direct versions, to experimental concepts, and then the final products.
This was another place in which my coding skills were useful to really think through interactions for development. The real focus was keeping track of multiple visualization types at the same time and making sure they felt like they came from the same family, followed the larger Watson Analytics Design Guide, and also didn't tax our engineers too much in their implementation.
The product finished completion enough that my final steps were really thinking through specifics. How do you show the bar charts at both the upper and lower limits of likely numbers, when there's only a few or a huge number of objects? How does this work responsively?