Amplitude mobile A.I. Music App
In today's digital music landscape, listeners seek more than just access to songs—they crave personalized, immersive, and interactive experiences that go beyond passive listening. However, existing streaming platforms focus primarily on algorithmic recommendations and playlist curation, leaving gaps in lyric exploration, interactive engagement, and creative user participation.
Project Overview
The Product
A dedicated iOS Mobile Application.
Role
My roles in the project were lead UX designer, UX researcher, Interaction Designer, Visual Designer, Motion Designer.
The Goal
A dedicated mobile app that allows users expressive interactions and experiences with music using A.I.
Duration
January 2025 - June 2025
My Responsibilities
My responsibilities included, user research, wireframing, prototyping, Ideating, Case study planning and Testing, refining.
Key Challenges:
Limited Immersive Features – Traditional music videos and static playlists do not offer interactive or adaptive elements that enhance user engagement.
Lack of Contextual Lyric Understanding – Many listeners struggle to grasp the deeper meanings, translations, and cultural significance of song lyrics, especially in multi-language music discovery.
Rigid Genre Boundaries – Current discovery tools do not allow users to blend multiple genres seamlessly, limiting exposure to fresh, hybrid sounds.
Missed Creative Opportunities for Fans – Music enthusiasts and amateur creators lack legal and accessible ways to remix, customize, or engage with songs beyond passive listening.
Our Solution: Amplitude A.I.
This digital music streaming platform redefines how users interact with music by integrating:
AI-powered lyric exploration for deeper understanding, translations, and contextual insights.
Interactive music videos where users influence visuals and narratives.
Genre-blending tools that allow seamless fusion of different musical styles.
A fan-powered remix platform that enables legal and collaborative remixing with built-in artist permissions.
Adaptive soundscapes that personalize listening experiences based on mood, activity, or environment.
By bridging the gap between passive listening and interactive engagement, this platform empowers users to experience, explore, and create music in new ways, fostering deeper connections between artists, fans, and the music itself.
Understanding The Market
Research Insights Related to the Current Mobile Phone Market
Mobile as a primary creation hub:
AI music tools are increasingly designed for mobile-first use, especially for TikTok, Instagram Reels, and YouTube Shorts creators. This mirrors how mobile devices have become the default recording, editing, and publishing platforms for casual creators.App integration race:
Udio and Boomy already lean into mobile-friendly workflows, while APIs from Mubert and Loudly hint at future integrations with mobile editing apps like CapCut, VN, or Adobe Rush.Hardware implications:
As AI music services shift more processing to the cloud, mobile hardware requirements matter less for rendering, but 5G and Wi-Fi 6/6E speeds become crucial for fast generation and download.Licensing transparency will drive mobile adoption:
Mobile app marketplaces (Apple App Store, Google Play) are increasingly strict on copyright content. AI music apps with clear, platform-friendly licensing will have an easier time getting approved and staying live.Learning Curve:
Current products are designed for advanced users leaving some intermediate, beginner and casual users ignored.Cloud Processing:
Current mobile platform hardware are at a disadvantaged to A.I. products which majorly uses cloud processing.
Understanding The User
User Research:
From user research questionnaires and surveys music and podcast enthusiasts today seek more than just streaming songs/content—they desire a platform that delivers personalized, interactive, and creative experiences. Current services prioritize playlists and algorithmic recommendations but fall short in providing deeper engagement, such as lyric exploration, genre blending, or legal creative outlets for fans.
User Needs
- Lyric Insights: Listeners want to uncover the meaning, translations, and cultural context of lyrics, particularly for songs in different languages.
- Interactive Visuals: They seek music videos where they can shape the visuals or narratives.
- Genre Exploration: Users desire tools to seamlessly mix genres and discover unique, hybrid sounds.
- Creative Opportunities: Fans want legal ways to remix or customize songs and collaborate with others.
- Personalized Experiences: They need music that adapts to their mood, activity, or environment for a tailored listening experience.
User Journey Map
User Personas
The Late-Night Storyteller 🌙
Name: Sofia Romero
Age: 30
Occupation: Podcast Host & Content Creator
Pain Points:
Wants more immersive storytelling elements in music experiences.
Finds traditional music videos predictable and repetitive.
Needs & Goals:Loves music videos with cinematic, interactive, and dynamic story elements.
Enjoys alternate endings and a "choose-your-own-adventure" format.
Feature Fit: Interactive Music Videos
The Indie Artist Who Loves Community Engagement 🎤
Name: Maya Singh
Age: 26
Occupation: Indie Singer-Songwriter
Pain Points:
Finds it hard to engage fans beyond social media.
Wants a way for fans to interact with her music creatively.
Needs & Goals:Wants a fan-powered remix platform where people can legally remix her songs.
Needs built-in revenue-sharing and exposure for fan-made versions of her tracks.
Feature Fit: Fan-Powered Remix Platform
The Aspiring Music Creator 🎼
Name: Marcus Bennet
Age: 19
Occupation: College Student & Bedroom Producer
Pain Points:
Loves remixing songs but has trouble finding high-quality, legal stems to use.
Wants to get exposure for her work without dealing with copyright issues.
Needs & Goals:Needs a legal, artist-approved remix platform.
Wants revenue-sharing opportunities and artist recognition.
Feature Fit: Fan-Powered Remix Platform
Ideation
Early wireframe Sketches
Sketches that represent early feature and service wireframe designs for the product,
1St Sketch Iteration
The initial screens for the original design were many features and services have their own space.
2nd Sketch Iteration
Including additional research, it was revealed that there were many features that were better off consolidated into less screens (3), decreasing user cognitive interaction load.
Prototypes
Low - Fidelity Prototype
A.I. Radio
This mode allows users to create personalized mixes with A.I. generated DJ effects, sounds manipulations filters and A.I. generated visuals.
Low - Fidelity Prototype
A.I. Podcast
This mode allows users to enter various topics as plain text, source content from links as well as include documents to create a 45min - 1hr podcasts.
Low - Fidelity Prototype
A.I. Remix
This mode allows users to record, edit and use A.I. to add FX, enhance sounds and songs.
Usability Studies
Insights
Post-Test Overall Ratings
Category
Avg. Score (1-10)
Overall Satisfaction ⭐⭐⭐⭐⭐⭐⭐☆☆ (7.5/10)
Ease of Use ⭐⭐⭐⭐⭐⭐☆☆☆ (6.5/10)
Feature Innovation ⭐⭐⭐⭐⭐⭐⭐⭐☆ (8/10)
Would Recommend ✅ 5/6 would recommend
✅ What users loved:
✔ AI-powered lyric breakdowns & cultural insights
✔ Interactive music videos with control options
✔ Genre blender for music discovery
❌ Top frustrations:
Some features felt hidden or unintuitive (remix tools, genre blending labels).
Users wanted more automation & AI assistance for remixing and playlist curation.
Refining The Design
After most of the main features and services were consolidated to the optimal amount of screens needed (3). These 3 screens holds most of the features and services that serve as the MVP for this project. The prototype was then refined to high - fidelity level.
A.I. Remix
A.I. Radio
A.I. Podcast
High Fidelity Prototype
This prototype demonstrates…..
The users ability to record and adjust sounds and use A.I. to build custom loops/tracks.
Create custom podcasts using links, videos and documents using A.I.
Create custom radio stations featuring A.I. powered hosts and personalities all add free.
With additional planned features that are nascent within these main functions including the “Now Playing” mode.
🎯 Key Takeaways & Next Steps
✅ Top Strengths:
✔ Unique interactive features (videos, lyrics, remixing).
✔ AI-driven insights provide added value.
✔ Highly engaging for music discovery (genre blending, translations).
⚠️ Areas for Improvement:
Improve feature discoverability-Accessibility (UI tweaks, tooltips, onboarding).
Simplify complex tools (beginner mode for remixing).
Enhance automation & AI support (remix suggestions, playlist explanations).