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Timeline —

6 Months

Role —

Designer
User Researcher

For —

Cornell Tech - Product Studio
Weill Cornell Medicine

With —

Darby Marx
Dillanie Sumanthiran
Johnny Lu
Kevin Warinata

Overview

A comprehensive UX research project focused on understanding the challenges seniors face when selecting Medicare plans. This research aims to identify pain points and design solutions that simplify the Medicare selection process for elderly users.

Through extensive user interviews and behavioral observations, this project develops insights into senior-friendly design principles and creates an AI-powered platform to assist elderly users in making informed healthcare decisions.

My Role

UX Researcher & Designer

Led comprehensive user research including 11 in-depth interviews (6 seniors + 3 caregivers + 4 experts) to understand Medicare selection challenges. Conducted user testing at Roosevelt Island Senior Center and performed behavioral observations.

Designed and prototyped an AI-powered platform solution that provides personalized Medicare recommendations, focusing on senior-friendly interface design and accessibility principles.

What are some difficulties when seniors choosing Medicare?

Personalization

Lack of Personalization

Generic recommendations without considering individual health needs and financial situations

Bias

Information Bias

Limited options presented, often favoring certain insurance providers or plans

Complexity

Complexity Confusion

Overwhelming amount of information and complex terminology that confuses seniors

Accessibility

Not Senior-Friendly

Interfaces designed for younger users, ignoring accessibility needs of elderly population

What is our solution?

"After brainstorming session, we come out with our designed Product Workflow"

Upload

Data Upload

Upload Medical & Financial History to our platform

Users upload their medical and financial history data to the platform

Analysis

AI Analysis Processing

Received Personalized Healthcare & Insurance Plans (Deep Learning Model)

Generate personalized medical and insurance plans through deep learning model

Service

Smart Customer Service

Chat with our LLM AI-Chatbot about the personalized plans for questions/changes

Q&A and modifications with LLM AI chatbot about personalized plans

How do we validate our solution with real users?

User Testing Execution

"My responsibility is to design and execute the prototype test and do the analysis"

Project Plan

Project planning and execution strategy

Roosevelt Island Senior Center

Testing location at Roosevelt Island Senior Center

Behavior Observation

Behavior observation analysis

"The experiment was conducted at the Roosevelt Island Senior Center"

"a central hub for the senior community on Roosevelt Island"

Behavior Observation

• Are they willing to provided personal information

• Will they click enroll now, or just using our site to generate and go to official site to buy the plan

"For User side, we also want to test out which kind of information displays they preferred"

User Feedback Insights

Interview and User Feedback

Surprisingly, most of senior prefer single layout instead of "multiple options" layout. and they mentioned they would like to have a detail comparison chart if it is possible.

The Outcome

Through in-depth user research and prototype testing, we successfully identified key pain points seniors face in the Medicare selection process and designed targeted solutions.