**case study:**
this was a product created through the **measure of music** conference, and
my first time being the **lead ui/ux designer** 

**note:**
this case study is divided into **2 parts:** the initial concept design i made for 
the conference, and a redesign project that i created!

introduction

moodify, an app designed to transform the way you experience music by creating custom playlists that match your mood, activity, and personal tastes. leveraging data from streaming platforms, moodify tailors playlists to seamlessly fit any situation - whether you’re working out, relaxing, or exploring new genres.

our team

• ashley sanon
• dayoung lee
• van nguyen
• rayn adams

tools used

• figma
• chartmetric
• python

[01] the initial concept and design process

our mission was to create a prototype highlighting a way for users to create their own playlists by leveraging data to understand the algorithm behind how certain songs could connect with specific moods and activities. however, there were a couple of challenges we ran into…

mood subjectivity

• moods are interpreted differently whereas one song can evoke different moods/feelings in multiple subjects

data quality

• more users are in need to have a better end result

limited catalog

• if the app’s library is limited, users may receive repetitive or irrelevant recommendations

process

with such little time to prepare this product, i went straight into the process of designing and prototyping the product. i decided to go with a simple, to-the-point decision where users would be able to understand the flow of the product.

https://embed.figma.com/proto/YRCikbIi8TVRjmhSX7SpOk/MOODIFY--Copy-?node-id=0-1&t=rQ6FhiZra3EvuagU-1&embed-host=notion&footer=false&theme=system