Cohorts, by Illumina Connected Analytics, lets customers aggregate and analyze genomic and clinical data using private, public and partner data sets, and then compare groups of subjects to accelerate biomarker and drug discovery.
As Principal Product Designer, I created personas based on interviews with stakeholders and subject matter experts. These evidence-based personas were used to identify user behaviors, tasks, and workflows. The key persona is a bioinformatician which is largely a cross between a genomic scientist and a data scientist.
I collaborated with a UX researcher and conducted a series of card sorting activities with subject matter experts and stakeholders to better understand the terminology and mental model for analyzing genomic data.
Early conceptual designs helped identify interaction models, and user interviews helped validate the concepts. I conducted several user interviews with bioinformaticians currently using digital workflows to evaluate genetic variants.
I established user-centered design principles to help guide decisions that favor data and transparency over everything else.
Storyboards help communicate to product stakeholders the high-level design of the user workflows and interaction models.
Prototypes are invaluable UX tools for communicating the experience design to stakeholders and users.
Software Demo Video
This demonstration shows how Illumina Connected Analytics Cohorts helps researchers build a case and control oncology cohort definition out of complex datasets.
Enhancing the Experience
Product design work is never complete. This end-to-end design journey includes several user research studies and ongoing synthesis of customer feedback from scientific users in the field.
With direct feedback from customers I uncovered user needs that include methods to discover genes of interest to their scientific studies. My resulting user-centered UX design specified new user-centric features such as marker frequency comparisons and a heat map.