BEATDROP

An application where users can find people with similar music interests

Problem Statement
Design an application that helps connect people through music

Solution Statement
Our solution aims to augment the uNav interface by creating an accessibility mode which changes the layout to make it more accessible using uNav control panel. The uNav Compatibility Mode targets user’s pain points on a community level for users who are using the uNav interface.

Role
User Experience Research
Prototype Development

Team
Pranshu Bansal, Varnit Jain, Sarthak Marwaha, Shikhar Sehdev, Abhinav Thukral

Timeline
18:00, 24 March 2017 - 10:00, 25 March 2017


RESEARCH


Survey

We had an hour to conduct a survey, that would help us validate our ideas and know more about our audience. We spread across a google form and managed to received 62 responses from students in the age group of 15-21.

1. Feasibility
We observed that 32% of the people spend 10 hours a week and the average person spends about an hour a day listening to music. On a scale from 1 to 5, the average person rated 3.34 as the likelihood of them using a social search app for music. Based on this, since there are no apps in the market that currently meet this unique demand of music browsing and social search simultaneously, we decide that this is a feasible venture to work on.

2. Sign In
97% of the people surveyed prefer to use Facebook or Google over creating accounts to sign into mobile apps. Easier access to signing in through Facebook or Google would provide a better experience.

3. Listening Habits
71% of the people surveyed like to analyze their own and other people's musical interests. 75% said "No" to listening to any one fixed genre of music. Clearly, a person's musical interests comprise of different levels of affinity for multiple genres. The challenge was to represent these interests in a way that would be like a fingerprint, helping users to compare their interests with others. The solution we thought of was our feature — Pulse graphs, radial graphs split into different genres of music.

4. Sharing Mood
84% people would be open to listening to lesser known artists. And 63% said that they would like to share their mood with their friends with a song. In the music player section, we added a button to share a 10 second clip of the song they're listening to as "Mood". The browse tab allowed users to listen to new, trending artists, works of music, that would not generally show up in their feed.



Hooked Behaviour

The elements of design for a platform that people come back to use. The Hooked model of behavior design by Nir Eyal consists of 4 key points:

Action: Accomplishing something with the app is a limited number of taps away
  • Fresh In-App Content by way of New and Trending songs
  • Quality UI/UX
  • Monitoring dominant actions and simplification thereon
Variable Reward: Satisfy their need and leave them wanting more
  • Never ending Feed
  • Addictive one-touch scrolling through Mood statuses of friends
  • Rewarding personalized Pulse graph
  • The rush of matching people with the same interests
Investment: Create an environment where users can take specific actions to invest in a better and more personalized experience
  • Playlists
  • Moods
  • Uploads
  • Search people by specific musical interests
  • Search people by scannable Waveform ID


FEATURES

After completing our research and evaluating the pros and cons, we developed a prototype based on the following features. Each feature is aimed to help a certain pain point of the initial user research.

Social Media Login

Informative Profile

Song Story




Music Player

Graph Search

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