MuseMatch

a native Android and iOS social platform

2024

MuseMatch is a native Android and iOS app designed to connect creatives with collaborators, mentors, and sponsors. It transforms networking into meaningful relationships, helping artists turn inspiration into projects and conversations into momentum.

Figma

Chat GPT

Pen and Paper

Microsoft office

Balsamiq

Solo Project

My role

I led end-to-end product design for MuseMatch from:

Concept to User Research

Concept to User Research

Flow Mapping to Wireframes

Flow Mapping
to Wireframes

Visual Design

Visual
Design

Interactive Prototyping

Interactive
Prototyping

Problem Statement

The Problem

Finding the right people has always depended on who you know, where you studied, or whether you were in the right room.

As a classically trained violinist who built a career across international stages and conservatories, I lived this problem firsthand. The classical music world runs on connections. Platforms built for mass audiences leave artists without a meaningful way to reach the people who could actually move their careers forward.

The Solution

I designed MuseMatch for someone with real skill, real ambition, and no clear path to the right people.

MuseMatch uses AI-assisted matching and intentional user flows to replace the randomness of traditional networking with something more purposeful. Users define what they need - collaboration, mentorship, or sponsorship, and the platform curates connections aligned with their creative goals.

AI-Assisted Matching

Mentorship

Sponsorship

Collaboration

Target Users

Creatives 16+ to aspiring to seasoned professionals

Core Need

Purposeful connection over the algorithmic noise

Design Approach

Intent-first flows · AI matching · Human tone

objective

01

Empower

Creatives to connect, collaborate, and grow

02

Help

Creatives find who and what they need through intent-driven matching

03

Enable

Creative intent to meet real connections through a user-centered experience.

Design thinking

Research

Competitive Analysis

Defining Process

Define

Problem Statement

Hypothesis

Feature Prioritization

Ideate

Sketches & Wireframes

User Flows

Information Architecture

Design

High-Fidelity UI

Design System

Prototyping

Test

Competitive Analysis

Iteration

Research

Competitive Analysis

Defining Process

Define

Problem Statement

Hypothesis

Feature Prioritization

Ideate

Sketches & Wireframes

User Flows

Information Architecture

Design

High-Fidelity UI

Design System

Prototyping

Test

Competitive Analysis

Iteration

Research

Competitive Analysis

Defining Process

Define

Problem Statement

Hypothesis

Feature Prioritization

Ideate

Sketches & Wireframes

User Flows

Information Architecture

Design

High-Fidelity UI

Design System

Prototyping

Test

Competitive Analysis

Iteration

Competitor anlysyis

User Persona

MuseMatch serves individuals 16 and up from the teenager writing songs in her bedroom with no one to collaborate with, to the seasoned professional ready to pass their knowledge forward. In the artistic world the need for real creative connection never goes away, it only changes shape.

"I know what I want to create. I just don't know how to find the people who get it."
"Networking feels fake. I want to find people who are serious about their craft, not just building a following."

These frustrations drove every major design decision.

From user needs to Design decisions

Every feature in MuseMatch traces back to something a real user asked for.

Feedback & Growth

Appeared across both mentees and experienced creatives alike.

Design Decision

Built endorsement and review functionality directly into user profiles, giving every interaction a visible record of creative credibility.

Social Proof

Users needed trust signals before reaching out. Sharing unfinished work and pitching ideas requires vulnerability.

Design Decision

Profile endorsements and peer reviews were designed to answer the legitimacy question before it was even asked.

Mentor-Mentee Matching

Users didn't want to browse blindly, they wanted the platform to find the right fit by field, experience, and intent.

Design Decision

Reinforced the three-path onboarding as a core structural decision, giving the matching algorithm the right context from the start.

Filtering by Skill & Availability

Users had specific criteria - a generic match felt as frustrating as no match at all.

Design Decision

Filters were designed to be expressive, reflecting not just what a user does but how and when they work.

Secure Communication

Creatives sharing ideas and work-in-progress needed to feel safe doing so.

Design Decision

Trust, clarity, and simplicity were non-negotiable in every touchpoint of the messaging flow.

User flow

Step 01

Start with Intent

Step 02

Let the AI do the work

Step 03

Meet the right people

Step 04

Prefer to explore?Skip the AI

Visuals

The Visual Mark

The MuseMatch mark is rooted in one of the most iconic images in art history Michelangelo's Creation of Adam. Two hands reaching toward each other felt like the perfect metaphor for what the platform does: bringing the right creatives close enough to connect.

The concept was mine. AI was used as a production tool to execute and refine it keeping the process efficient without compromising the creative intent.

Main Navigation Card

Eye-catching, symbolic visuals are layered behind each navigation card - adding mood, texture, and a sense of atmosphere without competing with the content. Each image is carefully chosen to evoke one of the artistic “muses,” subtly guiding users as they explore different creative paths. The result is a balance of clarity and emotional tone that elevates the overall experience.

Color and typography

low fidelity wireframes

Mapped three core user paths: collaboration, mentorship, and sponsorship. Focused on AI onboarding flow structure and information architecture. No visual decisions at this stage.

Mid-fidelity wireframes

Introduced layout patterns and UI structure for testing. Goal: validate information architecture and identify friction in matching and messaging flows before visual design began.

Testing and iterations

6 Participants

Usability Testing

iOS & Android

Peer Design Review

Testing Scenario

Participants were asked to complete three core tasks: find a collaborator, connect with a mentor, and navigate the messaging flow — simulating a realistic first-time user session across both platforms.

What worked

  • Sign-up and sign-in flow completed without friction across all sessions

  • Single sign-on via Google and Apple validated as clear and intuitive

  • Persistent header and footer reduced navigation confusion

  • Visual design and dark background received consistent positive responses

  • Onboarding tone and personal info section described as comfortable and welcoming

  • Artist profile layout and visual hierarchy rated positively

  • All participants completed the full user journey: opening through profile, notifications, and settings

What needed to improve

  • Muse AI chat paths resolved to the same generic screen - flagged by 4 of 6 participants

  • Back button and notification routing inconsistent, tapping notifications redirected to artist profile instead of notification center

  • Theatre/Film and Writing categories only partially visible , scroll not functional on category views

  • Collaboration, Music, and Design buttons unresponsive

  • Home screen not scrollable , content below fold inaccessible

  • Color palette flagged as too varied, reduction for visual cohesion recommended

  • "Let's find your muse" copy unclear when intent was mentorship or sponsorship

Hi fidelity screens

Applied usability testing findings. Tightened navigation consistency, differentiated AI chat paths, and aligned visual language across iOS and Android.

Takeaways

What I Learned

The AI flow worked as it felt like a conversation which led to the right connection.

Designing MuseMatch confirmed that structure and emotion are not opposites.

The three-path onboarding worked because it gave users clarity without removing creative freedom.

Strengths of This Project

End-to-end product design delivered across two platforms: iOS and Android

Design system built from scratch including tokens, components, branding, and responsive UI kit

Usability testing with 6 participants with findings documented and iterated on

AI-assisted flow designed with clear user intent at its core

Accessibility and emotional tone maintained as non-negotiable throughout

next steps

Differentiate AI chat end states per category path

Usability testing round focused on navigation and messaging

Build out messaging center with threading, project boards, file sharing

Explore sponsorship filters and AI personalization

Build out messaging center with threading, project boards, file sharing