
Grad CAP
GradCAP, short for Graduate Career Action Path, is a UX driven job search platform designed specifically for recent graduates. The system focuses on entry level roles and early career support, helping new graduates navigate job searching, resume building, networking, and confidence gaps through a structured, beginner friendly experience.
Project Description, My Role, and Outcome
GradCAP was a collaborative UX design project focused on addressing a common post graduation challenge: many new graduates struggle to find jobs due to limited experience, low confidence, unclear career direction, and lack of professional networks. Research showed that traditional job boards often overwhelm early career users and surface roles that require more experience than graduates realistically have.
The team designed GradCAP as a dedicated job search platform for recent graduates, featuring only entry level roles and supportive tools that guide users through the job search process step by step. The experience emphasizes clarity, approachability, and confidence building rather than volume or competition. Key features include tailored job listings, resume and application tracking, skill development resources, networking support, and curated guidance for users who feel unsure where to begin.
My role focused on visual and interaction design contributions across the system. I was responsible for designing the logo, defining the visual style guide, and creating wireframes that translated research insights into a clear and usable interface. I worked closely with the team to ensure the product felt supportive and accessible, using calm color choices, consistent typography, and intuitive layouts to reduce anxiety around job searching.
The outcome was a functional interactive prototype that demonstrated a complete user flow from onboarding to job discovery. Through research, ideation, wireframing, prototyping, and user testing, the team validated that a graduate focused platform could reduce overwhelm and better align with early career needs. While time constraints limited the fidelity of some features and an AI driven tool did not perform as expected during testing, the project succeeded in delivering a cohesive, research informed solution with a clear future roadmap.
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