C19 Explorer

Description

Enabling informed decisions through predictive health data and real-time insights during the COVID-19 pandemic.

As COVID-19 began to accelerate its spread in Spring 2020, Anthem tapped TM to act as lead on an urgent project: figure out how to make the best use of health and economic data to serve timely community needs.

Service

Product Strategy, UI Design, UX Design, Web Application

Role & Team

Ryan Hulseberg → Lead Product Designer, TM
John Ashenden → Design Director, TM

C19 Explorer masthead focused on platform benefits and serves as a geo-specific launchpad into the tool.

Objective

In conversations Anthem was having with large employer groups and government officials, executives were increasingly aware of the need to help those groups understand how to make informed decisions around risk and readiness—and the tools they were painfully lacking in order to do so. At the same time, Anthem had existing partnerships with leading data science providers, CloudMedX and XY.ai that supplied a trove of useful data.

TM stepped in as the organizing product strategy force, leading the charge in figuring out how to organize, prioritize, and design this partner data into a platform that could support government officials, local leaders, employers, business leaders, and individuals in understanding health risks posed to certain communities—and how medical systems could be impacted by changes in the health profile of their population as well as human behavior.

C19 Explorer combined geographical data alongside series data mapped to a timeline.

Visualizing inconsistent data with consistency

At its core, C19 Explorer is meant to provide visibility to risks across the economy, hospitals, and to public health imposed by COVID-19 at nationwide and community levels based on a range of variables. Someone can use C19 Explorer to easily understand how a community’s confirmed number of cases might impact anything from its food stability to the percentage of doctors without symptoms.

While dropdown menus allow for seemingly limitless numbers of options in customizing the data, the hard work was under the hood -- normalizing all the data from multiple sources and creating a standard taxonomy that makes logical sense and allows for correlations and predictions. While the data is robust, the information is conveyed with clarity.