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.
Card Sorting
The discovery phase is one of my favorite parts of the design process. I collaborated with UX researchers 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.
User Interviews
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.
Design Principles
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.
Design isn’t a linear process so discovering user needs doesn’t always occur during the initial define stage of the design process. In this example, I used direct feedback from customers to uncover a need to discover genes that are relevant to their scientific studies. My resulting mockups specified new user-centric features such as marker frequency comparisons and a heat map.
User-Centered Design
I use insights from user testing to identify incremental product improvements and continuously propose UI and UX solutions in continuous and agile software releases. For example, allowing users to customize a data visualization plot based on their research needs.
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