“The problem that we are solving is people’s inability to have a say in the music playing around them in a party and other social settings. Currently, everyone in the party is at the mercy of the party host, or the owner of the phone attached to the speakers. Many times, peoples’ unique song tastes cause them to argue about which songs to play, causing people in the party not to have a good time. Our solution is to make it as seamless as possible for everyone in the party to have a say in the music playing. Based on our analysis of the current ecosystem involving music streaming services, businesses and college students, we created UpNext, a live collaborative playlist iOS application. Using UpNext, anyone can add any songs they want and vote on songs; songs with higher vote scores will be played earlier. In attempt to establish product-market fit, we had been constantly gathering data through our user’s use cases through Firebase Analytics, as well as personal interviews and surveys with our users. Our Student Ambassadors had also been spreading UpNext to new users and gaining feedback from these users. In addition, using UpNext in bars in Ann Arbor had also been a good source of data and research into the features needed by bars. The result shows that UpNext solves a problem faced by many college students. UpNext has amassed over 1000 users in Ann Arbor with 150 weekly active users. In addition, 2 bars in Ann Arbor use UpNext as their source of music daily.”
Check out their Capstone poster here!:
Team members:
Raymond Sukanto, Business & Computer Science 2020
Daniel Kaper, Computer Science, 2020
Victor Mahdavi, Business, 2020
Matthew Samaan, Organizational Studies, 2020
