Streamlining data for Epidemiology and Policy Making

Duration

4 Months
January - May 2022

Team Members

2 CGHE Leaders
Lead UX Designer (me) 
Lead UX Researcher
2 Developers
Project Manager

Skills Learned

Literature Review
User Interviews
Design Space Critique
Survey
Interview
Affinity Mapping
Brainstorming strategies
Prototyping
Heuristic & Think Aloud Evaluation

Overview

Encouraging users to have a deep understanding of their data through automation, hierarchial exploration and rich data visualizations

As the volume of data increases exponentially everyday, about 50-80% of a data scientists time is spent on making sense out of large datasets. Despite the slowly increasing trend in automating different parts of the DS lifecyle, and increasing usage patterns of autoML tools such as VertexAI and AzureML, data exploration continues to be a painstakingly time consuming and manual process. My user research has shown the various ways in which data scientists handle these tasks when faced with time pressure, some of which can be detrimental towards the quality of models generated.

By integrating automation in the workflow of a data scientist in a controlled manner, Plato aims to assist and accelerate their knowledge discovery process, while making sure the human remains in the drivers seat. Keeping in mind the curiousity and creativity that is necessary for this exploration, the focus of Plato is to steer away from complete automation and look to augment human capabilities through data visualization and pattern discovery.



Bridging the gap

“...auto insight tools informed by user studies in specific domains is scarce. Without significant understanding of users the new applications identified may be divorced from real world needs.”

Stasko & Endert, Characterizing Automated Data Insights, 2020

Primarily focusing on redesigning the data exploration module of an existing autoML tool, the goal of this project is to leverage user-centered design to augment human capability in a controllable and trustable manner. Through findings from 10 semi-structured user interviews and literature, following are the research areas I am exploring through my design:

Overview

A new way to engage with data through dashboards and visualizations.

The Coalition for Global Hepatitis Elimination (CGHE) is a non-profit organization that overlooks progress towards achievement of the goals for viral hepatitis elimination.

The CGHE website attracts 2000 users every month. Among these are epidemiologists and policymakers that are looking to review data from different sources to push for hepatitis elimination in their countries. Launched in 2019,the CGHE's reach has expanded globally over the past few years. What once started as a small scale website about their seminars, now houses country data dashboards with extremely detailed information on Hepatitis. The website's original design is no longer sufficient to visualize the large amounts of new data they have gathered.

As UX Designers, our goal was to work closely with the CGHE leaders, the developement firm and most importantly, their worldwide users, to understand the most intuitive and feasible way to represent their growing database through data dashboards.

Duration

4 Months
August - December 2021

Team Members

We worked in a team of 4:
1. Sejal Sarkar
2. Kshitij Gupta
3. Linda Lee
4. David Lacy

Role

UX Designer (Lead)
UX Researcher
(Phases 1 to 2)

Skills Learned

Literature Review
User Interviews
Design Space Critique
Survey
Interview
Affinity Mapping
Brainstorming strategies
Prototyping
Heuristic & Think Aloud Evaluation

Duration

4 Months
August - December 2021

Team Members

We worked in a team of 4:
1. Sejal Sarkar
2. Kshitij Gupta
3. Linda Lee
4. David Lacy

Role

UX Designer (Lead)
UX Researcher
(Phases 1 to 2)

Skills Learned

Literature Review
User Interviews
Design Space Critique
Survey
Interview
Affinity Mapping
Brainstorming strategies
Prototyping
Heuristic & Think Aloud Evaluation

Duration

1 year
June '23-'24

Team Members

1. Kshitij Gupta (me)
2. Senior data scientist (mentor)
3. Backend Developer

Role

UX Designer
UX Researcher
Frontend Developer

Skills Learned

Literature Review
User Interviews
Data Viz
Exploratory Data Analysis
Boosting user trust in AI 
Designing for humans-in-the-loop