Bringing predictive analytics to business users
Predixion Software allows users to bring together multiple data sources to explore, shape, and prepare that data in order to build models for different types of advanced analytics. The original product used Excel as a client. I lead a small team to transition to a web UX as part of the move to becoming a cloud-based platform. In addition, we created multiple variations of the client as industry solutions for healthcare, life sciences, fraud detection and others.
Being part of a small team meant wearing a lot of hats including UX strategy and information architecture, interaction design, visual design, and Marketing support. In addition, I owned the CSS/SASS files to maintain control over styling details.
Going deep to understand
Because of the novelty and technical complexity of predictive analytics, I invested deeply in learning the product. I engaged with data scientists and business analysts in whiteboarding sessions which I then converted to diagrams that became part of technical documents. UML diagramming is one approach I use to critically analyze aspects of the system (flows, object relationships, use cases, states, etc.) In the process, it created greater clarity within the team and influenced product changes.
Simplifying technical communication
Building on my technical understanding, I worked with Marketing to create infographics for presentations to investors, customers, and other stakeholders.
High-level explorations help identify product opportunities
I continued to refine and test different options with users (while accounting for inevitable strategy shifts). We identified patterns that could also be leveraged in industry solutions.
Brand-aligned visual refinements bring the final polish
After partnering with the Marketing team on branding guidelines, I created the finished visual design which included illustrations, icons, color palettes, type styles, and style guide.