The app dreams are made of
This project is an app design for a dream journal and analyzer. My responsibility was to design the onboarding experience along with the analysis feature. I also oversaw the general UX design of the app entirely. My colleagues on this project were Leandra Owen (main graphic design), and Koha Pham (usability testing).
How can we provide a do it yourself solution to those who have an interest in understanding what their dreams are telling them about their mental wellness? Current platforms offer impersonal and generic information that does not show the user the big picture - just provides pieces they themselves have to put together. The onboarding experience is a key piece to this puzzle as it provides the user with a lot of insight and personalization as a first impression.
Keep the onboarding screen minimal as to not cause drop off rates
Provide customization options for notifications
Obtain information about the user and provide them with options for using the app
Provide a simplistic analysis feature within the journaling
Onboarding is limited to 6 screens. While this is still on the longer side for onboarding, the UI was designed to keep it light and simplistic. Illustrated icons were also used to guide the user through by offering clear visual guides.
Allowing the user to customize notifications gives them peace of mind that they won’t be bombarded with unwanted notifications.
By inputting these two screens, not only will allow us to gather information about who our central users are and what they are using Muse for but may also inspire them to expand what they initially downloaded the app to do.
The app will go through and pick out key phrases within the inputted dream. The user can then tap into each piece and receive quick information about what this could mean subconsciously. They can then carry through to the full analysis screen to read more thorough information.
While doing initial benchmark research, most apps currently on the market that claim to analyze dreams all gave very unspecific information. Myself, Leandra, and Koha all inputted separate dreams about three different topics. All three of the apps we were researching gave us all the same information, despite all of our dreams being different. This led us to ensure that importance was put on personalized information.
User testing was conducted on both the onboarding section as well as the analyze feature. Some key findings for the onboarding section were adding a non-binary option for the gender selection as well as the option to opt-out of providing the information. Originally I had designed bars showing the progress through the onboarding, however, it tested more efficiently without them.
The motion of words and phrases getting highlighted provided users with the feeling and comfort that it truly was personal to what they inputted as opposed to generic information.