Plainfield App: HealthEquity for LGBT+
UX Design | Self-Initiated
Time Period: 1.5 Months
Role: Full Stack Design
The Problem
Accessing competent healthcare can be challenging for the LGBTQIA+ community. Finding providers who understand their unique needs, along with basic self-help medical resources, should be simple and straightforward. However, this is often not the case. Many LGBTQIA+ individuals face significant barriers when seeking medical care, including fear of being judged, underserved, or stigmatized. These challenges can deter individuals from seeking the necessary care, leading to unmet medical needs and exacerbated health disparities.
The lack of easily accessible, LGBTQIA-competent healthcare providers and self-help medical resources further compounds these issues. Often, the healthcare system is not equipped to address the specific concerns and experiences of LGBTQIA+ individuals, resulting in a lack of trust and reluctance to seek care. This problem extends beyond physical health and affects mental and emotional well-being, creating a cycle of negative health outcomes.


To address our unique needs, we adapted the traditional Google Design Sprint, making it more customized and iterative. Here's how:
Ideate: We began by deeply understanding diverse user problems through research, brainstorming a wide array of solutions without constraints.
Design: Selected the most promising ideas and created detailed wireframes and low-fidelity mockups, ensuring usability and aesthetics were prioritized.
Prototype: Developed interactive prototypes using tools like Figma and InVision, closely mirroring the final product to test key functionalities.
Test: Conducted usability tests with real users, capturing feedback through task completion rates, heatmaps, and interviews.
Learn and Iterate: Analyzed feedback, refined designs, and continuously improved through repeated cycles, each time starting anew with better insights.
This customized approach allowed us to systematically address user issues while fostering innovation and user-centric solutions. The iterative nature ensured constant learning and enhancement, making our process both efficient and effective.