CASE STUDY
Unlocking the Potential of AI for Pharmaceutical Research
Timeline: 1 week
Problem Statement:
A leading global pharmaceutical company was interested in exploring the opportunities of AI to cure illnesses faster.
The Results
Cross-Collaborative Workshop
Eco-System Map
Post-Workshop readout
Team Structure:
Senior leaders in Healthcare industry
Leading AI company representative
Senior VP client representative
Myself as the workshop lead and sole designer
The Process
Prep Work
This workshop came to me with about a week to prepare. I knew who the client was and that the goal of the workshop was to have some actionable insights by the end. I began by researching the company’s website - this included going though every webpage to understand their products and services and then cross-referencing that with the team I knew I’d be interacting with plus whatever I could find on Linkedin. Additionally I leveraged Chat GPT to understand the industry space better. Asking questions about existing known technology and ideas for solutions. I wanted to enter this meeting ready to run so I also had a robust workshop template ready to go.
The Workshop
This workshop was about exploration and creating a safe space for everyone to share ideas. I was able to align everyone in the room within the first few moments of the context and outcomes we were looking for by utlizing the eco-system map and workshop framework.
As a group we identified:
Current Pain Points
Internal Users
Patients
Healthcare Providers
Opportunities for improvement
People Processes
System Processes
How AI supports both
Outcomes desired (short and long-term)
North Star
How to incrementally make change
By the conclusion of the workshop we had everything listed above identified and clear next steps for product exploration. With such an impactful outcome I feel honored to have led this workshop with such a great group - this was a moment of truly using design for good.
Tools Used:
Miro
ChatGPT