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User 1: The user found it easy to search for playlists and upload music but did not understand how the playlists were being created because we did not provide a mechanism for it yet. We later added this interface directly on the home page that allows a user (who must be logged in) to create a playlist.
User 2: The user wanted an interface where he could search for parties after making the initial search, but didn't see the search bar that he expected when he was viewing the list of parties. We added a search bar to the search results page.
Iteration 2:
User 1: The user had an initial lack of intuition behind the time frame in which to utilize the interface. He was confused as to whether he was accessing the interface during the party, or just viewing music prior to it. He expressed later on that he would have preferred to provide feedback during the party instead of before. His task was to upload a song, and he thought he could drag and drop from the desktop into the interface.
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User 3: The user recommended an auto-complete functionality for searches, as well as more advanced search capabilities: one that would allow the user to pinpoint a party by time, date, and location. In addition, user 3 recommended to consider enabling the user to search for other people’s music, pull the file, and add a song to the user’s personal play list.Through user testing, we have obtained valuable input that will be considered in our next iteration.
Prototype iteration
- Instead of using the number of likes and dislikes to rate the songs, we have decided to adhere to a 5 star rating system instead. This will enable the user to provide more information on his or her interest in a particular song, and provides a more accurate picture of how popular a song by rating songs through a highest average rating.
- Another change that is to move from a playlist/song centric user interface to a party centric user interface. While the interface still adheres to the core concept of allowing users to rate, upload, and download songs, the user interface will also aggregate information on the user's previous party-going history, and pinpoint a specific party through time, date , and location.