Press Ganey Online


The Challenge


As UX and Product Director for Press Ganey, I joined with a mission to  needed to combine 14 legacy products that had some overlap in terms of target audience, features, and data. Press Ganey had years of healthcare data that had been accumulated in separate sections of an organization, e.g. Nursing, NICU, ER, OBGYN, Neuro, etc. A primary ask from clients was to be able to view cross-domain data, or the ability to view those separate sections in one view. However, there had been no persona work or defining investigations as to the comprehensive list of different roles that wanted to access the data.

The Solution


We conducted a national research initiative, utilizing the Google Design Sprint with each persona identified. C-Level, Management, Practitioner, Support Staff, and Analyst. We ran user-based workshops with the groups to iron out their missions, motivations, and the methods that Press Ganey could build solutions that would meet their needs. At the end of the initial discovery phase, we had rapidly prototyped an analytics platform that could be scaled per user role, depending on the data and analysis the user wanted to complete. Using Axure and Javascript, we were able to present the new Press Ganey Online at the next year’s 2015 National Client & Executive Leadership Conference, which gained incredible appreciation and allowed 3 early adopters to volunteer for the beta program the next spring.

Increased engagement by 68%

Responsive Design

Using evidence-based design, the app allowed users to decide the level of news curation they desired. We also understood the notifications and wearable app that targeted both the iWatch and Samsung Gear.

Role Specific Data Drilldown

Taking advantage of native app development, we built with a modified Google Material Design aspect and included constant user testing to ensure the experience was scalable for future iterations. This effort spread through mobile to wearable.

Custom Report Builder and Cross-Domain Analytics

A primary activity most users needed was to build and share reports from their analysis. Allowing the user to save, drag ‘n’ drop panels, and share to other PG Online users made a more seamless process for getting reports to other team members.

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