Music production consists of breaking down individual instrument tracks into many smaller units known as "stems". Organizing and labeling large project files can very quickly become cluttered and difficult to sift through - especially as production teams scale.
AIM
Stemport uses a machine learning algorithm to analyze, organize, and re-label musical stems to aid in streamlining the creative workflow.
Visual Identity
To enhance the ML experience, a visual identity was created to signify the AI processes. Inspired by the way in which sound can create beautiful ripples in water, a virtual avatar guides the user along the journey.
User Flow
Due to the fact that this application is meant to streamline the process of stem organization so that musicians can get to the music making process quicker, It was integral to have the least amount of screens possible to mitigate any risk of adding any friction to the user flow. Therefore, it was necessary early on to clarify the user's journey so that the shortest path to completion could be created while still having all the necessary tools available at hand.
UI Considerations
When rolling out all the screens, careful attention was paid so that the user flow was clear and simple. Negative space and a minimilistic design was used generously to keep the layouts uncluttered.
Light / Dark mode
The client requested light and dark mode options for their designs so it was imperative to keep in mind elements that would work on both a light and dark backdrop
