Q.AI is an AI-powered platform powered by A.I. with the goal of simplifying the investment experience through an exciting and intuitive experience. My role on this project was to improve the portfolio allocation flow.
2019-2020
PRODUCT DESIGN LEAD
IMPROVED INVESTMENT ALLOCATION FLOW
Q.AI is an AI-powered platform powered by A.I. with the goal of simplifying the investment experience through an exciting and intuitive experience. My role on this project was to improve the portfolio allocation flow.
The main challenges gravitated around understanding the API's potential and constraints within the UMG and Spotify partnership, ensuring the design solution provided a seamless, user-centric experience for Spotify playlist creators. This involved creating an exclusive platform that both empowered creators to easily discover and add UMG songs to their playlists and enabled them to track playlist performance effectively.
Offer a similar navigation and listening experience as Spotify
Not just any app, and expression of exclusivity and edginess
Focused on A.I. and data driven insights and decision making
The product required a simple user flow, and a strong branding/UI styiling. The early low-fi prototypes were used to estabilish the user flow as the UI style came along the way. The challenge was to create an interaction that would be forward thinking both on UX and UI but also match the Spotify API requirements. This first prototyping steps were used to explore interactions and specially to create a brand atmosphere for the whole Stream Team product.
Mobile responsiveness was vital to understand how the styling would render overall and how the user interaction would actually dictate the way the UI styling should behave on some specific screens.
The Song Discovery creates A.I. made playlists based on the user’s data. The Playlisters only need to login with spotify and choose which playlist they want to discover songs to. When the Playlister is listening to the songs, they can score songs, write comments and add the songs to a specific position in their playlsit. That action helps the A.I. to generate better reccomendations and the user to track what they liked or not.
The playlist optimization is an A.I.-powered feature that helps Playlisters to improve based on data. Basic song data is shown on the playlist in order to the user to take action about it. The platform also reccomends songs that might add stream growth to the playlist. The challenge was to display in a simple yet meaningful way how the playlist grew and which additions made the most difference for the user's playlists.
Q.AI is an AI-powered platform powered by A.I. with the goal of simplifying the investment experience through an exciting and intuitive experience. My role on this project was to improve the portfolio allocation flow.
2019-2020
PRODUCT DESIGN LEAD
IMPROVED INVESTMENT ALLOCATION FLOW
Q.AI is an AI-powered platform powered by A.I. with the goal of simplifying the investment experience through an exciting and intuitive experience. My role on this project was to improve the portfolio allocation flow.
The main challenges gravitated around understanding the API's potential and constraints within the UMG and Spotify partnership, ensuring the design solution provided a seamless, user-centric experience for Spotify playlist creators. This involved creating an exclusive platform that both empowered creators to easily discover and add UMG songs to their playlists and enabled them to track playlist performance effectively.
Offer a similar navigation and listening experience as Spotify
Not just any app, and expression of exclusivity and edginess
Focused on A.I. and data driven insights and decision making
EARLY PROTOTYPES
The product required a simple user flow, and a strong branding/UI styiling. The early low-fi prototypes were used to estabilish the user flow as the UI style came along the way. The challenge was to create an interaction that would be forward thinking both on UX and UI but also match the Spotify API requirements. This first prototyping steps were used to explore interactions and specially to create a brand atmosphere for the whole Stream Team product.
OPTIMIZING FOR MOBILE INTERACTION
Mobile responsiveness was vital to understand how the styling would render overall and how the user interaction would actually dictate the way the UI styling should behave on some specific screens.
The Song Discovery creates A.I. made playlists based on the user’s data. The Playlisters only need to login with spotify and choose which playlist they want to discover songs to. When the Playlister is listening to the songs, they can score songs, write comments and add the songs to a specific position in their playlsit. That action helps the A.I. to generate better reccomendations and the user to track what they liked or not.
The playlist optimization is an A.I.-powered feature that helps Playlisters to improve based on data. Basic song data is shown on the playlist in order to the user to take action about it. The platform also reccomends songs that might add stream growth to the playlist. The challenge was to display in a simple yet meaningful way how the playlist grew and which additions made the most difference for the user's playlists.
Q.AI is an AI-powered platform powered by A.I. with the goal of simplifying the investment experience through an exciting and intuitive experience. My role on this project was to improve the portfolio allocation flow.
2019-2020
PRODUCT DESIGN LEAD
IMPROVED INVESTMENT ALLOCATION FLOW
Q.AI is an AI-powered platform powered by A.I. with the goal of simplifying the investment experience through an exciting and intuitive experience. My role on this project was to improve the portfolio allocation flow.
The main challenges gravitated around understanding the API's potential and constraints within the UMG and Spotify partnership, ensuring the design solution provided a seamless, user-centric experience for Spotify playlist creators. This involved creating an exclusive platform that both empowered creators to easily discover and add UMG songs to their playlists and enabled them to track playlist performance effectively.
Offer a similar navigation and listening experience as Spotify
Not just any app, and expression of exclusivity and edginess
Focused on A.I. and data driven insights and decision making
The product required a simple user flow, and a strong branding/UI styiling. The early low-fi prototypes were used to estabilish the user flow as the UI style came along the way. The challenge was to create an interaction that would be forward thinking both on UX and UI but also match the Spotify API requirements. This first prototyping steps were used to explore interactions and specially to create a brand atmosphere for the whole Stream Team product.
Mobile responsiveness was vital to understand how the styling would render overall and how the user interaction would actually dictate the way the UI styling should behave on some specific screens.
The Song Discovery creates A.I. made playlists based on the user’s data. The Playlisters only need to login with spotify and choose which playlist they want to discover songs to. When the Playlister is listening to the songs, they can score songs, write comments and add the songs to a specific position in their playlsit. That action helps the A.I. to generate better reccomendations and the user to track what they liked or not.
The playlist optimization is an A.I.-powered feature that helps Playlisters to improve based on data. Basic song data is shown on the playlist in order to the user to take action about it. The platform also reccomends songs that might add stream growth to the playlist. The challenge was to display in a simple yet meaningful way how the playlist grew and which additions made the most difference for the user's playlists.