This project is part of the coursework I've completed in pursuit of Google's UX Design Professional Certificate.
In this case study, I document my ideation and Figma prototyping work for AfterSpace, a mobile app and responsive website designed to help families find, enroll in, and pay for after-school care. After researching the challenges families come across trying to secure consistent, trustworthy care for school-aged children, I designed a streamlined user flow that could make the process less stressful and time-consuming, especially for busy or underserved parents.
With my user research and competitive analysis in mind, I approached sketching layouts for AfterSpace with a "no wasted clicks" mindset. The organization of information and actionable elements needed to be clear and faciliate the initial user flow of searching, enrolling, and paying for care. While my screenshots below show the main path to the user's solution, the app contains purposeful CTA's on the home page and the care dashboard which encourage new users who are clicking around the app to search for care (see the foundations for conditional logic in the prototype below). My goal was to create a hassle-free experience in which the user knows what to expect as they navigate the app, whether they know what solution they're looking for or not.
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Through this project, I developed a design solution that reflects both the practical and emotional needs of modern families navigating after-school care. AfterSpace successfully guides users through the key steps of searching, enrolling, and paying for programs—all within a clear, low-friction interface that is friendly to all levels of digital comfort. The final prototype demonstrates how intentional layout decisions can reduce stress and instill confidence in busy parents trying to make the best choices for their children.
I tried to prioritize what matters most to users and build a tool that feels approachable, trustworthy, and efficient. The result is a streamlined core user flow and a solid design foundation for future testing, iteration, and expansion.
