Cohort Panel Re-Design
Population Analytics is one of Genospace’s most powerful tools. Researchers can examine an enormous group of patient’s attributes to make hypotheses. Users build cohorts by selecting values and Population Analytics tells you how many patients match your cohort. The only problem was the cohort panel was extremely unintuitive, so users were unsure if the they had built their cohort correctly, or if the number of patients calculated was even correct.
To start this project, I interviewed several of our key users at a research hospital to understand which feature are most commonly used and which aspects of the UI were most frustrating. I watched them use the current product in their daily work and had them talk through their decision making.
After analyzing the user research, I created lo-fi mockups and presented these to our users to get feedback & initial impressions. We continued to have bi-weekly meetings to test prototypes and to discuss the design progression until we reached a hi-fi mockup that everybody was exited to build. Throughout this process I shared the design progression with members of our engineering team, to be sure what I was designing was feasible.
As a cross-functional team we worked through edge cases and details to account for every possible scenario. Once it was time for the project to move to development, I created designs for every use case in the cohort panel and mapped the features from the old panel to the new design.
The outcome of this re-design dramatically decreased the amount of time it took to build a cohort. Previously confused users were able to navigate the cohort panel with ease and Genospace received less support emails. New users no longer needed an extensive training session, they understood the features upfront with some guidance from their own colleges.
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