Enhancing Lab Efficiency through Human-Centered Design

Enhancing Lab Efficiency through Human-Centered Design

Enhancing Lab Efficiency through Human-Centered Design

Client:

Vaccine Research Laboratory

Role:

User Research, Service Design

Date:

2022

Overview

Pioneering Vaccine Research in a Crisis

In March 2020, Montefiore Lab scientists found themselves on the frontlines of COVID-19 vaccine development, working to meet the urgent global demand for mRNA research. Over the next two years, they collaborated closely with the National Institute of Health, providing ModernaTX Labs with approximately 700 experiments worth of data for 13 major government and industry protocols that were essential in developing the life-saving vaccine.

As the lab faced growing challenges due to its strained systems, design was brought in to help transform the way staff interacted with technology and workflows.

Pioneering Vaccine Research in a Crisis

The National Institute of Allergy and Infectious Diseases (NIAID) recognized these critical contributions in a letter from Dr. Anthony Fauci in which he states —

'Hard work and dedication in the lab have enabled the research and public health communities to respond to the pandemic with extraordinary speed and efficiency, generating 'key data on SARS-CoV-2 that is being utilized to inform public health decisions in the United States and internationally.'

"Hard work and dedication in the lab have enabled the research and public health communities to respond to the pandemic with extraordinary speed and efficiency, generating 'key data on SARS-CoV-2 that is being utilized to inform public health decisions in the United States and internationally.'

— Dr. Anthony Fauci

— Dr. Anthony Fauci

— Dr. Anthony Fauci

The Problem

A Fragile System in the wake of COVID-19’s Disruption

A Fragile System in the wake of COVID-19’s Disruption

The COVID-19 pandemic disrupted the workplace in unprecedented ways, and the lab was no exception. The intense pace of vaccine development exposed weaknesses in the lab's infrastructure, particularly in terms of workflow inefficiencies and employee satisfaction. The existing systems were not only strained but were also contributing to burnout, human error, and low autonomy for staff members.

My Role

As a UX designer on this project, I facilitated the discovery process by conducting observations, analyzing survey data, and synthesizing insights to guide the development of effective, user-centered solutions.

The Goal

Build a Better Lab

Build a Better Lab

Redesign the lab staff's interactions with technology and systems to create more intuitive, efficient, and sustainable workflows, ultimately improving employee satisfaction and reducing human error.

Align Stakeholders

Align Stakeholders

Encourage analytical data scientists to adopt a growth mindset, introducing design thinking principles in a data-driven, traditionally logical environment. This was essential to overcoming resistance to change and to demonstrating that investing in design could lead to meaningful, measurable improvements.

The Process

We began with a discovery phase to gain a deep understanding of the lab’s challenges. By conducting observations and one-on-one interviews, we identified not only technical issues but also emotional and organizational factors affecting staff. This allowed us to take an empathetic approach in crafting solutions.

Observing real world workflows

We spent significant time observing real-world workflows within the lab to understand how staff interacted with existing systems and technology. This hands-on observation allowed us to capture the nuances of daily tasks, from data collection to collaborative work, and identify the inefficiencies and frustrations that weren’t immediately apparent in interviews.

Surveys

In addition to observations, we conducted surveys to gather quantitative data on staff experiences, satisfaction, and pain points. These surveys provided a broader perspective on the issues facing the lab, allowing us to identify trends and patterns that helped validate our findings.

The Insights

Key Themes that Shaped Our Solutions

Work Environment

Work Environment

Work Environment

The physical workspace was disorganized and stressful, contributing to inefficiency and burnout.

Work Environment
Tools & Workflow

Tools & Workflow

Tools & Workflow

Outdated technology and fragmented systems slowed down work, leaving staff feeling out of control.

Tools & Workflow
Retention & Career Progression

Retention & Career Progression

Retention & Career Progression

A lack of clear career development paths led to lower morale and retention challenges.

Retention & Career Progression
Workload Expectations

Workload Expectations

Workload Expectations

An overwhelming workload, unevenly distributed, contributed to exhaustion and a lack of autonomy.

Workload Expectations
The Outcome

Real Change, Real Impact: Culture and Compliance Transformed

The research report and structural assessment we delivered effectively identified systemic deficiencies contributing to the lab's heightened regulatory risks. By introducing human-centered design principles, we helped the lab recognize the value of divergent thinking, ambiguity, and empathy—concepts that were initially at odds with their traditional, data-driven culture.

Additionally, we proposed several suggestions to facilitate cultural shifts within the lab. These were implemented across both administrative and technical staff, leading to immediate and positive changes. Employees expressed relief and gratitude for the improvements, and there was a newfound eagerness to restructure workflows and improve collaboration.

The Problem

A Fragile System in the wake of COVID-19’s Disruption

The COVID-19 pandemic disrupted the workplace in unprecedented ways, and the lab was no exception. The intense pace of vaccine development exposed weaknesses in the lab's infrastructure, particularly in terms of workflow inefficiencies and employee satisfaction. The existing systems were not only strained but were also contributing to burnout, human error, and low autonomy for staff members.

The Goal

Build a Better Lab

Redesign the lab staff's interactions with technology and systems to create more intuitive, efficient, and sustainable workflows, ultimately improving employee satisfaction and reducing human error.

Build a better lab
Align Stakeholders

Encourage analytical data scientists to adopt a growth mindset, introducing design thinking principles in a data-driven, traditionally logical environment. This was essential to overcoming resistance to change and to demonstrating that investing in design could lead to meaningful, measurable improvements.

Align Stakeholders

My Role

As a UX designer on this project, I facilitated the discovery process by conducting observations, analyzing survey data, and synthesizing insights to guide the development of effective, user-centered solutions.