CARGO
Tools
R, Figma, Google Forms
TIMELINE
October - December 2024
Role
UX Design & Research Fellow
Objective
Create an app that address real world problems.

INTRODUCTION
Cargo was developed during a one-week sprint where the challenge was to create an app idea that could make a broad positive impact.
Cargo was developed during a one-week sprint where the challenge was to create an app idea that could make a broad positive impact.
PROBLEM STATEMENT
PROBLEM STATEMENT
Users don’t have a simple way to compare prices, and current solutions rarely account for diverse preferences.
Users don’t have a simple way to compare prices, and current solutions rarely account for diverse preferences.
RESEARCH APPROACH
RESEARCH APPROACH
We began with brainstorming and secondary research, including market data showing food prices rose 31% in six years. From this, we mapped user pain points around affordability and choice. I cleaned and filtered survey data in R, then built a Tableau dashboard to visualize patterns in spending behavior. After I led an ideation workshop based off analyzed survey data to help the team generate ideas for the app.
We began with brainstorming and secondary research, including market data showing food prices rose 31% in six years. From this, we mapped user pain points around affordability and choice. I cleaned and filtered survey data in R, then built a Tableau dashboard to visualize patterns in spending behavior. After I led an ideation workshop based off analyzed survey data to help the team generate ideas for the app.






Competitor Analysis












Solution






RESULTS
RESULTS
Presented findings to an audience of 30+ members received positive feedback.
Presented findings to an audience of 30+ members received positive feedback.
REFLECTION
REFLECTION
Cargo was a concept project, but it was my first time using my data wrangling skills to help lead product decision. By working across R, Tableau, and Figma, I learned how to translate survey data to help find gaps in the market. This project also taught me how to effectively work under pressure with tight deadlines while also giving me valuable experience in team leadership and coordination.
Cargo was a concept project, but it was my first time using my data wrangling skills to help lead product decision. By working across R, Tableau, and Figma, I learned how to translate survey data to help find gaps in the market. This project also taught me how to effectively work under pressure with tight deadlines while also giving me valuable experience in team leadership and coordination.