As Principal Product Designer at GE Digital, I conceived and designed many enterprise software experiences for GE’s Industrial Internet Platform, specializing in solutions for analytics and big data.
After interviewing more than a dozen Data Scientists and Data Engineers, it became apparent that data exploration and data cleansing is a critical part of the data science process. I conceived of a product called Data Explorer that provides data visualization tools that let users evaluate data before and after analytic processing.
With a searchable and sortable catalog of data and analytics, users can sequence together analytic techniques and business logic in a tool called the Orchestration Editor. Developers visually connect and configure analytics, then hook it all up to big data streams and dashboards.
Collaborative Design Sessions
I held many collaborative design sessions with subject matter experts and stakeholders, sketching and visualizing task flows with diagrams and sticky notes. Involving others in the design process is a simple way to give UX ownership to everyone.
The UX flow takes shape with simple sketches, storyboards, and user task flows.
User Task Flows