The nexus between your mood and your music.
What is Moodrinse?
MOODrinse is an app that believes users’ know their own moods better than anyone else. Considering this, the app lets you create a nexus between your mood and your music preference that you would want to listen to when you are in that mood.
Understanding the context of the problem
Melophiles listen to wide variety of songs depending on their emotional states. Often times only the individual can know what song he/she needs to listen to when he/she is in a specific mood. When I interviewed over 20 music enthusiasts, I found something interesting. Nobody had any common music preferences for the moods happy, sad, neutral, angry and aggressive. Everyone had their own choices of songs for those moods. For e.g.- one user said he listens to “rock music” when is happy and another said he prefers “rock music” when he is sad because it helps him uplift himself. I found that there are radically different views about the choice of music that people listen to and there was no common ground. After analyzing the large amount of raw qualitative data collected, I was able to summarize why people listen to music:
- Combat boredom
- Achieve optimal levels of attention while reading or working
- Manipulate their own emotional states to achieve a desired one
The solution can be indefinite but from the context there was a need for three main questions to be answered:
- Who can describe users' moods best?
- Are there specific songs users' listen to when they are in a particular mood?
- Would they choose to listen to their own collection of songs or a playlist crafted by an app?
I did not choose to get an answer for “Why people chose the particular type of music” because the answers to that question are radically different from every user so, I decided to give the users freedom to choose the type of music themselves.
Coming up with a suitable solution by finding answers to the questions
It was clear from the data collected that only a very few users prefer listening to the music suggestions given by music apps such as Spotify and google play music based on generic moods. Most of them have their own playlists that they prefer over the music suggestions by the music apps. People have specific preferences of music that relate to their own moods and none of these preferences coincide with other users and their moods.
- The problem context and the solution has signaled the primary motivation behind this app to be – “No one understands user’s moods better than themselves”.
- Provide a nexus between the users’ moods and their favorite songs.
- Provide an experience that can help them get to the songs with minimum steps when they feel like it.
The Settlement Solution
By now we know that there is a need to help users build a nexus between their moods and their songs. The best possible solution that I came up with would be giving users the freedom to create their own moods and link their songs to it. I decided to draw inspiration by designing a simple music player that could provide a solution to this. The user flow for the solution will be like as given below –
Each playlist will be represented as a “mood” and all of this playlists will accessible from the home screen. With just one tap of any mood, a shuffled song that is in that playlist will start playing immediately. Now, each of these moods and the songs associated with it will be stored in the cloud. In that way phone memory could be saved. For when internet connection will not be available, moods could also be downloaded to the phone and listened to offline.
One of the main features of this app is that it lets you figure out your own mood and lets you choose your own songs that you think is appropriate to be played when you are in that mood. There are tons of apps that performs machine learning algorithms to find and group songs that are appropriate for certain moods depending on the genre of the music but these are only productive to a certain extent. From my research I have found that people love listening to songs and they create their own playlists for different moods using music apps such Spotify, Google Play Music etc. One of the biggest considerations that I am making with this app is the users’ “freedom”. No one can understand the user better than himself so, why not give them the freedom to choose and listen to their own selection of songs rather than a machine suggesting what would be best for him.
Consider a scenario – you are in a very depressed mood, you would know pretty well what songs work for you when you are in that mood. The app would have you create a “mood” called “Depressed” and link a playlist (the mood itself is the playlist) to it. It then would have you select the songs that you wish to listen to when you are in the “depressed” mood.
he other music apps that people use are radio apps that streams music from radio. Even these apps can suggest songs for you and different radio stations for your moods but it doesn’t give you the freedom to create a customized playlist of your own targeting the users’ specific moods.
What makes Moodrinse different from the competition
It is true that you can create your own personal playlists using the above mentioned apps, but the current apps don’t consider to tackle these scenarios. My app does specifically that. Moodrinse has the following workflows –
- In the home screen – you can select the mood you are in and it plays songs from that playlist.
- Another workflow would be creating a playlist – This one is also simple. You just tap on “Create a mood” or the “+” button, give it a name, add the songs that you want to add and viola! This makes the app more usable and accessible.