MuseMatch

MuseMatch is an intent-first native Android and iOS app designed to connect creatives with collaborators, mentors, and sponsors. It's meant to transform networking into meaningful relationships, helping artists turn inspiration into projects and conversations into momentum.

a native Android and iOS social platform

2024

Tools

Figma

Balsamiq

ChatGPT

Pen and Paper

Microsoft Office

My role

Solo UX/UI Designer

The Gap (The Problem)

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

Existing platforms support skilled creatives, but they solve different problems. Patreon focuses on fan monetization, while Skillshare focuses on skill acquisition. MuseMatch addresses the gap between them: helping creatives find collaborators, mentors, or sponsors based on creative intent.

I know this gap firsthand. As a classical violinist, I saw how often creative opportunities depended on informal networks. MuseMatch began as a response to that gap.

Hypothesis

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

MuseMatch is an intent-first creative network where users choose what they need (collaboration, mentorship, or sponsorship) and receive curated matches aligned with their goals. At the core is MuseAI, a chatbot that asks clarifying questions and surfaces relevant matches based on intent and complementary skills. The goal is to make creative networking more purposeful and less dependent on chance.

WHO IT'S FOR

Two patterns came up across the research:

"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."


Visibility and authenticity drove the design decisions that followed

Competitor analysis/ Market gap

COLLABORATION

Strong for learning from creative professionals. But the relationship is one-way by design: users watch, learn, and practice, rather than finding someone to build with.

Mentorship

Strong for creator support and fan membership. But it is built around supporting work that already exists, not helping creatives find collaborators for new projects

SPONSORSHIP

Designed for intent-based creative matching. Users can search directly or use MuseAI to find collaborators based on what they want to make, their discipline, and complementary skills.


COLLABORATION

Strong for learning from creative professionals. But the relationship is one-way by design: users watch, learn, and practice, rather than finding someone to build with.

Mentorship

Strong for creator support and fan membership. But it is built around supporting work that already exists, not helping creatives find collaborators for new projects

SPONSORSHIP

Designed for intent-based creative matching. Users can search directly or use MuseAI to find collaborators based on what they want to make, their discipline, and complementary skills.


COLLABORATION

Mentorship

Sposorship

Strong for learning from creative professionals. But the relationship is one-way by design: users watch, learn, and practice, rather than finding someone to build with.

You can find creators here, but the relationship is built around tipping them not making something with them. There's no path from 'I love your work' to 'let's build something together

Designed for intent-based creative matching. Users can search directly or use MuseAI to find collaborators based on what they want to make, their discipline, and complementary skills.


Conclusion

Organize the experience around user intent, not content consumption.

From user needs to Design decisions

Each design decision responded to one of two user signals: what creatives wanted to accomplish and what they needed to feel confident taking the next step.

Feedback, Social Proof & Growth

Endorsements and peer reviews built into profiles. Every interaction leaves a visible record of creative credibility.

Mentor-Mentee Matching

The three-path onboarding gives the matching algorithm the right context from the start.

Filtering by Skill & Availability

Filters reflect not just what users do, but how and when they work.

Secure Communication

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

THE STRUCTURAL DECISION: THREE PATHS

The Decision

Splitting the platform into three intent-based paths from sign-up: collaboration, mentorship, or sponsorship.

The Principle

Users were not simply looking to browse other creatives. They came with a specific goal, and that intent needed to shape onboarding, matching, search, and messaging.

The Result

Two users with different intents see meaningfully different platforms.

The Decision

Splitting the platform into three intent-based paths from sign-up: collaboration, mentorship, or sponsorship.

The Principle

Users were not simply looking to browse other creatives. They came with a specific goal, and that intent needed to shape onboarding, matching, search, and messaging.

The Result

Two users with different intents see meaningfully different platforms.

User flow

Start with intent → choose AI-guided conversation or manual search → review matched creatives → connect

wireframes

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

Low-Fidelity

Mid FIdelity

Hi Fidelity

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

iOS

Android

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. SSO via Google and Apple validated as 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

  • Category views (Theatre/Film, Writing) not fully scrollable. Home screen also not scrollable below the fold.

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

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

What I changed

  • Fixed scroll behavior across all category views and home screen.

  • Reduced color palette to core teal range plus single coral accent.

  • Rewrote intent-routing copy to match the three-path architecture.

  • Resolved notification routing inconsistency.

  • Differentiated MuseAI chat end states per category path. → See iOS chat screens

Visuals

The Visual Mark

The visual identity grew from Michelangelo's Creation of Adam. Two hands reaching, the platform connecting creatives who would otherwise miss each other. Renaissance engravings carry the metaphor through the navigation cards. The concept was mine; AI executed the imagery

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

Takeaways

Intent-first architecture has compounding effects. The three path split didn't just shape navigation. It shaped what MuseAI asked, which matches surfaced, what trust signals mattered.

Optional AI is more useful than mandatory AI. Search and filters as a parallel route gave users control over how much they wanted the system to interpret for them

Six participants is enough if you act on what you find. The discipline isn't in running the test. It's in tracing every fix back to a finding.

Next steps

Refine AI chat end states across collaboration, mentorship, and sponsorship.

Run a second usability test focused on navigation and messaging.

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

Explore sponsorship filters and MuseAI personalization.

Available for UX/UI and Product Design roles

Available for UX/UI and Product Design roles

arpine.uiux@gmail.com

© Arpine Azatyan, 2026