Nhung Le, Tien Dao, Anu Suresh, Mary Liu,
Ajay Jha, Shubham Somani
October 5 - October 7, 2018
My team designed a mobile app that helps increase high school graduation rates for teenage mothers. Our team included a business analyst, two software developers, and four UX designers, including me.
AI chatbot to provide resources and answers for pregnant teenagers
Provide peer-to-peer support groups with discussion forums, meetups, and member chat
Ability to schedule appointments with a volunteer for help with homework or daily tasks
Startup Weekend EDU (SWEDU) brings together people of all skill-sets and experience levels to collaboratively launch tools, schools, services, and learning spaces that re-imagine the future of school and education more broadly. In just 54 hours, teams experience the highs, lows, fun, and pressure that make up life at a startup. As they learn how to create a real company, they'll will meet the very best mentors, investors, co-founders, and sponsors who are ready to help them get started.
After meeting with the team, I had a clear mission and vision of how our team would tackle this project. My goal for this case study was to discover and identify a way to simplify the distribution process that puts users first. My approach to the challenge is using the design thinking process combined with User Design Canvas methodology.
Design thinking model
User Design Canvas
A non-profit that helps teen mom to go back to school after pregnacy.
In the first stage of our Startup Weekend project, I performed the competitive analysis to identify the strengths and weaknesses of some existing apps and websites of our competitors in the market. These competitor will focused on the problem regarding the teen’s health issues.
The competitive analysis lead me to infer that the following things are missing in the market:
According to the National Conference of State Legislatures, less than half of all teen moms finish high school, and the number plummets to 2% for the number that go on to graduate from college. The topic of sexual education and pregnancy was also almost universally taboo amongst all students we interviewed. The majority wished there were more classes and counselors at school to deal with pregnancy or stress in general.
Let’s consider our research:
My primary method of research for the app was user interviews. I conducted in-person interviews with 5 participants including 3 high school students and 2 high school educators. Each session lasted about 30 minutes. Before the interviews, I created a script to guide the interaction. During the interviews, I would record the participants with their permission. The goal of user interviews is to reveal some important areas such as health resources at school, the student's physcial and mental health, and the student's attitude towards concern for help.
My team and I created the affinity mapping based on user research in order to analyze what challenges the high-schooler students might face in education
I gathered some insights based on the user research:
We found a massive amount of resources about sexual education, but lacking in postpartum resources for teen moms.
My team discussed the user interview results, and we decided to change our direction and craft our problem statement based on user research reports and market research. Instead of focusing on the sexual education resources, we now focus on supporting the teenage mom with a community based app.
Teen moms need a ramp back to school after pregnancy. Our venture solves this with a community based app. As a result, the high school dropout rate will reduce.
In order to show sympathy with our target population, my team discussed creating a fictional character with detailed background, descriptions, and behavior. They included facts and information we observed during research. I used the persona to guide design decisions on important features of my app based on her characteristics.
Anna who is 16 years old and dropped out from high school because she got pregnant. She wants to go back to school but she can’t because of family issues. She needs some support, such as resources or a peer-to-peer group to help her with education and other challenges in daily activities.
In the next stage, I worked on creating low fidelity sketches with other UX designers. The purpose of my low-fidelity prototype is that it allows me to include all the core features of the app.
AI chat bot to answer questions, concerns, and providing resources for teenage moms like Anna.
The app will connect Anna with volunteers who can help her with homework and daily tasks. This can provide emotional support for Anna to release some stress during pregnancy.
We create the peer-to-peer support group for Anna. These groups are hosted in person to provide a physical safe spaces and divided into different prenancy period from first trimester to third trimester. Anna can come and share her struggles and feelings with other teenage girls who are going through the same things as her.
My team won the Education Impact Award at 2018 Startup Weekend, organized by Techstars sponsored by Grow with Google.
1. I will keep designing high fidelity screens to make the app feature-complete.
2. I will do more user research on the issues, and perform usability testing on teenage moms to improve the app.
1. People in technology come from different backgrounds such as business, software, and management, so it’s always a good idea to explain my knowlege about UX in order to advocate for my users.
2. The Startup Weekend is very unique because it was a mini workshop to execute a whole project from scratch. That was extremely useful for the challenge involved: using technology to improve education in teenage pregnancy by providing young girls with ways to connect with one another.
3. I walked away with a great project and formed close relationships with other people.
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