In Georgia Tech, bike is one of the most frequent transportations. Every year, new students look for used bikes, newly graduates have to sell them. Our project is to help buyers to choose a high quality-price-ratio used bike quickly and help sellers to avoid spending lots of time looking for buyers.
I participated throughout the research process of contextual inquiry, interviews and survey. I took charge of affinity diagram by collecting findings. I came up with two main design ideas which ended up as final solution. In design, I helped with sketching and interative prototype.
SecondBuy was done between September to December of 2017 with my awesome teammates
We distributed a survey and conducted semi-structured interviews, contextual inquiries to identify problems that used-bike buyers and sellers meet. Based on the data gathered, we did affinity diagram to categorize collected data, whose findings are used to develop user personas.
These processes helped us understand our users better, and we identified 6 problems in their buying and selling experience of second-hand bikes. Considering their user scale and influence, we converged to 2 problems. Then we organized divergent brainstorming design sessions with 19 divergent design ideas. After doing a thorough analysis of their feasibility, creativity and to the biggest extent they can solve 2 main problems, we then converged to 2 design ideas.
The 2 ideas were presented to our class peers for feedback and evaluation by storyboards, wireframes. After multiple iterations, we finally came up with a system called SecondBuy with a mobile app and a physical bike station.