During the pandemic lock down I worked pro-bono on this pilot project developed to address the challenges of Covid-19 contact tracing. Below are some videos demonstrating Orion in it’s low to mid-fi state.

Workflows

Orion Overview

Problem statement: Proposed solutions involving GPS/Bluetooth apps may not fulfill requirements due to poor public uptake, security concerns, and low population coverage. Experts have indicated that human investigation is required, but classic methods are slow/inefficient.

Orion is a modern web-app that allows local health administrators higher throughput, easier management and greater oversight of their contact tracing efforts. Orion can radically improve the scalability and efficiency of contact tracing teams at local public health organizations.

Timeframe: 12 week sprint
Role: UX/UI designer - UX audit, interviews, branding, personas, and mockups
Team: 12 members - 2 UX/UI Designers, 5 Developers, 3 Entrepreneurs
Tools: Figma, Photoshop, Illustrator, Google Suite, Trello, Slack

ORION SOLUTION

Rapid remote investigator onboarding to scale teams

Automatically manages investigator workflow to increase case throughput

Graph database allows rapid, flexible analysis and data sharing

Modern web architecture with responsive user-centric design for easy operation and seamless coordination

PAIN POINTS

Rapidly scaling contact tracing teams is slow and difficult

Lack of automated case management leads to poor utilization of human labor

Lack of modern data structures makes analysis slow and difficult
Outdated software interfaces slows team coordination and case throughput

ux audit

As a new product, Orion is going to be introducing itself to every user who encounters it. With that in mind, I reviewed a number of sites to better understand how companies like Uber and Safer.me go through the process of explaining their service to users.

Areas that I focused on are:

Dashboard - Analytical and operational dashboards. Analytical provide an at a glance overview and operational provide data that helps users be quick, proactive and efficient
Onboarding - A learn by using approach or a choose your path approach?
Application Page - Form approach with several fields or a short form of basic info with a resume upload
Homepage - Clear call to action steering the user to the path they need, ie: Tracer or Patient
About - Persuasive content that explains how the site works that might otherwise clutter the homepage

CLICK HERE TO VIEW THE AUDIT

1:1 Interviews

“How is this being carried out? Can you give me a brief overview?

It’s a very messy process, not sophisticated at all. Generally excel spreadsheets to track, and faxing information back and forth between hospitals and other counties.”

“What is the biggest challenge you see for your org with respect to contact tracing?

Overwhelmed by the number of cases, the manual process is very slow. Getting information from neighboring counties is nearly impossible, as we have to just fax the information. There is no formal system of communication, just conversations back and forth.”

“What are the major bottlenecks?

It is absolutely the manpower”

“Have you considered new tools? (If so, which?)

Just this morning, my boss asked me to look at better software tools, but haven’t actually started looking yet. We know something is required, but haven’t planned for anything yet. Desperate need here. We started to look at the Singapore system, but are not confident that will work here. They don’t capture vulnerable members of the population that may not get access to the tech: poor, elderly.”

Master Plan/Roadmap

Orion’s web app provides automated workflow portals for key stakeholders, increasing work visibility, team scalability and reducing admin overhead

sitemap

Orion’s graph database representation then provides deeper analytical capabilities by surfacing key risk indicators that may be spread across multiple cases (eg, location, health condition)

Product and System Overview

Orion provides key stakeholders with features and processes via an automated case management engine. By combining existing HIE infrastructure with data-driven risk assessment and robotic workload balancing, case throughput can be optimized.