Work with me ↗︎

Multidisciplinary designer

designer

Product Design Lead creating fintech, AI, and emerging tech products—from early ideas through launch and growth.

WORK WITH ME ↗︎
camera
MUST Company

03 / 03

MUST Fintech

Leading 2 Web3 products and a shared token ecosystem

Design Leadership · Web32025–Present
Playground
Matilda

Hi, I'm Matilda Anashie. I design digital products, explore emerging tech, and care deeply about building things that genuinely help people.

Slice of me

Open to product design leadership opportunities and selected collaborations across fintech, AI, and emerging technology.

Selected work

Hiring or building? Let’s talk

Playground

Open to product design leadership opportunities and selected collaborations across fintech, AI, and emerging technology.

DESIGNER
ILLUSTRATOR
ENTREPRENEUR
PRODUCT
UX/UI
ENGINEER
Portrait of Matilda Ipeh Anashie

Hi, I'm Matilda Ipeh Anashie

I'm a Nigerian Product Design Lead with 6+ years of experience designing AI, fintech, creator economy, SaaS, and Web3 products across Africa, Asia, and Europe.

My background in Electrical and Electronics Engineering and Telecommunications Engineering shapes how I work: understanding complex systems, finding the human problem within them, and building clear, trustworthy products. I currently lead product design for MUST Company’s Blockchain and User Experience Innovation Design team, guiding a four-designer team across two Web3 products, their websites, and a shared token ecosystem. I also introduced design-system and AI-assisted workflows that improved design-to-development handoff by 40%.

Beyond product work, I co-founded Canann Impact Foundation, contribute to open-source technology through Outreachy and ODK-X, and support the design community through mentorship, writing, and speaking.

View Resume
Journey
2025
Product Design Lead, MUST Company
AI-native product development · Web3 & Fintech · South Korea
2025
Founding Product Designer (Contract), Tirra
Product transformation & redesign following market pivot
2024
Product Designer, Wowzi
Creator economy platform · $2M in creator payouts · Africa
2023
UX Designer, Cecure Intelligence
Enterprise SaaS & cloud products · United Kingdom
2022
UI/UX Designer, Links and Metrics
Marketing design agency · Nigeria
2021
Creative Director & Founder, Folde Studio
Full-service creative studio · Brand, web & product design
Community
2020
Canann Impact Foundation ↗︎
Co-Founder · 1,800+ students reached · 2 technology clubs established
2023
Outreachy · ODK-X Community
Open-source contributor to ODK-X Survey and Tables
46+
Designers Mentored
Portfolio reviews · workshops · career coaching
5
Speaking Engagements
Panels & talks · 2,500+ tech professionals reached
After work hours
  • read a new chapter
  • fill journal pages
  • disappear into a playlist
  • draw or just doodle
  • notice type everywhere
Tuesday
Dear Zoey,

something happened today and I realised —

"Everything we need to be happy in life is right in front of us and yet we look for it in all the wrong places."

WEEKEND WATCH

I love watching movies, but my latest obsession is K-drama. The stories and the acting keep me absolutely glued to my screen. A perfect weekend unwinding mood.

01Reply 1988
02Mr Queen
03Business Proposal
04Alchemy of Souls
Now playing
Stay With Me
Chanyeol & Punch · Goblin OST
1:37
4:16
SIDE QUEST
New Goal'
run a half marathon

Open to product design leadership opportunities and selected collaborations across fintech, AI, and emerging technology.

At a global conference
Exploring new tech
Tech outreach for young girls
Panel on African startups

Bits of my life

Design Systems · Web3 Fintech · React · TypeScript · November 2025

Rebuilding a design system two Web3 products could share — and teams would actually use.

I led the system from rejected Figma proposal to a coded and hosted source of truth, reducing design-to-development handoff time by 40% and helping earn my promotion to Product Design Lead.

Role
Design Systems Lead →︎ Product Design Lead
Duration
2 months
Stack
React · TypeScript · Tailwind
Markets
English · Korean
tl;dr — if you won’t read the whole thing

Led the rebuild of the shared system behind MSQ and SUT, turning a rejected first proposal into a coded reference that reduced handoff time by 40%.

My role(s)
Led the system strategy, architecture, implementation and rollout
Partnered with Sneha on the Figma library, component construction and token setup
Built and hosted the React and TypeScript component library
Created the live design-system workflow and AI-Native Design playbook the team uses to carry reviewed Figma context into AI-assisted work
Co-contributors
M
Matilda
S
Sneha
Outcome
01
40%reduction in design-to-development handoff time
02
15collaborators aligned: 4 designers, 7 engineers and 4 cross-functional stakeholders
03
The work helped demonstrate the systems leadership that led to my promotion to Product Design Lead
The problem

Two products. Separate patterns. One shared wallet ecosystem.

MSQ and SUT were evolving as separate Web3 products even though users could trade the same KWT token through both. The design infrastructure had not kept pace: buttons used different radii, typography drifted between surfaces, and colour changes required manually updating components.

In financial services, visual inconsistency isn’t just an aesthetic problem. It erodes exactly the kind of trust users need to feel when making decisions about their money.

As the design-systems lead, I had to create a standard four designers could share, seven engineers could implement, and four other stakeholders could understand without slowing ongoing product delivery.

v1.0 — What failed

The first proposal worked in Figma but failed the adoption test.

I presented v1 as a Figma-based system, but other product departments rejected it. That response changed the brief: the next version could not simply document design decisions. It had to fit the way teams already designed, reviewed and built products.

01
Designed as a library, not a workflow

The proposal defined what teams should use, but not how those decisions would travel from design through review and engineering implementation.

02
No token infrastructure

Colours were hardcoded values. A brand update meant manually locating and changing components across the product codebases.

03
Overbuilt for where we were

v1.0 covered every edge case I could imagine. Too complex to onboard quickly. Complexity without adoption is just overhead.

04
No shared adoption path

Other departments were being asked to accept a finished answer instead of participating in a system they would need to use and extend.

“A system nobody uses isn’t a system. It’s a Figma file with good intentions.”

v2.0 — The rebuild

Smaller. Sharper. Token-first from day one.

I rebuilt v1.0 from the foundation: tokens before components, followed by shared patterns, documentation and a coded reference engineers could use directly.

The principle behind v2.0: build for adoption, not comprehensiveness. A smaller system used consistently creates more value than a large library teams work around.

Token architecture

Three-layer token system. Brand →︎ Mapped →︎ Alias.

Tokens are named for their role, not their value. primary-color not #2563EB. One token update propagates everywhere simultaneously.

The Mapped collection defines the full primitive scale (blue-50 through blue-950, gray, red). The Brand collection references mapped primitives with semantic names. Alias tokens bind component-level decisions to brand tokens.

The live workflow records the exact Figma variables, aliases and intended use before translating them into documentation and implementation guidance. Missing evidence is flagged instead of replaced with a generic assumption.

Blue scale — brand primary
blue-50
blue-200
blue-400
blue-600
blue-700
blue-900
Gray scale — neutrals
gray-50
gray-200
gray-500
gray-700
gray-900
gray-950
Semantic — red, base & brand aliases
red-100
red-600
white
black
primary-color
secondary-color
MSQ colour variables and token structure in Figma
Typography

Three font systems. One for each context.

MSQ serves English and Korean markets across mobile and admin surfaces. Each context needed its own optimised type system.

ENGLISH MOBILE
Poppins

H1 40px · Body 16px
Weights: 400 500 600 700

Optimised for Latin script on mobile. Tight negative letter-spacing at display sizes.

KOREAN MOBILE
Pretendard

Display 56px · Body 16px
Weights: 400 500 600 700

CJK-optimised. Separate token scale for Korean line heights and letter spacing.

ADMIN
Inter

H1 32px · Body 16px
Weights: 400 500 600 700

Data-dense admin interface. Positive letter-spacing at body size for screen legibility.

Design principle

The See-Do Process: every screen shows what you can do next.

The guiding principle behind every MSQ component: a user should never look at a screen and wonder what they can do. Available actions need to be visible, not discoverable. This shaped button hierarchy, empty states, and notification patterns throughout the system.

WHAT IT MEANS
See the action. Do the action.

Primary CTAs are unambiguous. Secondary actions are subordinate. The hierarchy communicates priority before copy is read.

THE BUTTON VARIANTS
12 variants. One hierarchy.

primary secondary outline ghost — each role distinct, each level subordinate to the one above it.

Foundations — 8 tokens
Colors
Typography
Spacing
Radius
Grid
Icons
Logos
Cryptocurrency
UI Components — 16 components
Alert
Badge
Banner
Button
Calendar
Calendar Search
Checkbox
Checkbox Group
Dropdown
Input
Nav Bar
Pagination
Progress
Tabs
Toggle
Tooltip
Brand Assets — 10 components
Bank Logo
Bottom Nav
Crypto Logo
Language Selector
MSQ Logo
Nav Menu
Social Button
Theme Toggle
Top Navbar
Wallet Logo
MSQ Design System — components in context
AI-Native Workflow

A repeatable way to carry design-system intent into AI-assisted work.

I created the AI-Native Design playbook so the team could connect an existing Figma system to AI-assisted product work without asking the model to guess. The workflow moves through evidence gathering, translation, building and validation.

View AI-Native Design playbook ↗︎
01
Inspect the existing system

Capture exact foundations, typography, components, states and constraints from Figma before generating anything.

02
Translate reviewed evidence

Turn approved system evidence into the smallest useful artifact: project rules, token guidance, component documentation or a reusable prompt.

03
Adapt and validate legacy products

Use that reviewed context when generating web or mobile designs for legacy products, then compare the result with the source system before it moves forward.

Governance

A system teams could extend without breaking.

Designers now share the relevant components, tokens and documentation alongside each design. Engineers receive the implementation reference with the interface, while new additions are reviewed against an explicit use case and “When Not To Use” guidance before they enter the shared library.

DOCUMENTATION RULE
“When Not To Use This”

Each component includes anti-pattern guidance so designers and engineers can understand its intended role before applying it.

FIGMA ↔ CODE
Shared evidence, not guesswork

Designers share the relevant variables, components and documentation with each design so engineers can trace implementation decisions back to the system.

0+
Production components documented and shipped across foundations, UI and brand assets
0%
Handoff time reduction after shared tokens, components and documentation launched
0
Collaborators aligned across design, engineering and cross-functional review
Reflection

The rejection of v1 was the most useful signal in the project. It taught me that adoption is the product: a design system is not successful because the library is complete, but because designers, engineers and stakeholders can use it to make decisions together.

Leading that shift — from Figma proposal to shared design-and-code infrastructure — helped earn my promotion to Product Design Lead.

The next phase is now documented in the open-source AI-Native Design playbook: a repeatable workflow the team can set up and adapt when generating AI-assisted web and mobile designs for legacy products, while preserving the evidence and governance of the original system.

Next Case Study
Wowzi Brand System —
One Brand, Three Products
Brand System & Website · 2025View Case Study →︎