Fils Sustainable fashion traceability ecosystem

Bridging the gap between ethical consumption and cognitive overload. Fils is a mobile platform that empowers consumers to make sustainable fashion choices through sub-second barcode scanning and behavioral gamification.

Role

Lead Product & Visual Designer

Timeline

Nov 2024 – Mar 2025

Core Deliverables

Design Tokens, OCR UX, Usability Testing, IA

Onboarding Welcome

Overview

Fils is an ethical commerce mobile ecosystem engineered to dismantle the opacity of fast fashion by turning complex supply-chain audits into actionable consumer decisions.

Acting as the Lead Product & Visual Designer for this Master's Final Project at SHIFTA by ELISAVA, I directed the product lifecycle end-to-end: conducting mixed-methods quantitative and qualitative user research, defining the information architecture, establishing an accessible design token system in Figma, and designing both the mobile application and responsive marketing web touchpoints.

The project directly confronts the reality that while consumers demand sustainability, cognitive fatigue and price sensitivity often stifle ethical purchases. Fils bridges this divide by delivering a sub-second label-scanning experience paired with habit-forming community loops.


The Challenge

The global fashion industry accounts for 10% of carbon emissions, consumes 2,700 liters of water per cotton shirt, and generates 92 million tons of annual textile waste. Despite growing environmental awareness, our primary field research across 100+ surveyed participants uncovered significant behavioral friction:

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Cost-Convenience

Prioritize price and consume fast fashion, yet desire a friction-free rating tool.

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Cognitive Overload

Prioritized ease of use well above raw data depth when standing in-aisle.

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Discovery Deficit

Admitted they could not identify ethical clothing alternatives on their own.

User Research

Primary Field Research

Synthesizing qualitative & quantitative insights from 100+ surveyed participants.

Environmental Impact

Environmental Context

Addressing the massive footprint of the fashion industry on carbon and water resources.


UX Research & Benchmarking

Before designing the solution, we analyzed existing sustainability and product-scanning apps. We identified a clear gap: while tools like Good On You and Clear Fashion excel at deep data, they lack the speed needed for in-store decisions. Conversely, food-scanning apps like Yuka are incredibly fast but don't translate well to the complex supply chains of fashion.

Our goal became clear: Combine Yuka's sub-second scanning UX with Good On You's rigorous multi-dimensional grading system.

Good On You

Good On You

Excellent directory depth, but critically lacks the instant barcode scanning UX required for fast in-store decision making.

Clear Fashion

Clear Fashion

Provides comprehensive supply chain transparency, but the evaluation process is too slow and cognitive-heavy for casual shoppers.

Yuka

Yuka

Perfected the sub-second scanning UX, but their single "Nutri-Score" model oversimplifies fashion's complex multi-layered impact.

Renoon

Renoon

Strong curation of sustainable brands, but operates strictly as an e-commerce aggregator rather than an on-the-spot physical product scanner.

Vinted

Vinted

Massive user base for circular second-hand clothing exchange, but completely lacks objective scoring or environmental impact metrics.

BuyOrNot

BuyOrNot

Highlights brand ethics and controversies well, but the UX is heavily dated and the database is skewed toward groceries, not fast-fashion.


User Personas

From our qualitative interviews, we distilled our target audience into three distinct personas, each with different motivations and barriers regarding sustainable fashion.

I want to pass on the importance of a just and sustainable world to my students.

Motivations

Already shops second-hand and sustainable brands. Wants a centralized tool to verify impact and discover new ethical brands.

Requirements

  • Detailed environmental impact breakdowns.
  • Interactive maps for local ethical stores.
  • History of scanned items to track progress.

I'm finding my own style, but my budget is tight.

Motivations

Wants to make better choices but is highly sensitive to greenwashing. Needs quick, transparent data to trust a brand.

Requirements

  • Fast barcode scanning in-store.
  • Clear, unfiltered brand data.
  • Cheaper, ethical alternatives.

My priority is providing for my family with the budget I have.

Motivations

Sustainability is an afterthought compared to price and durability. She needs to be incentivized to care without feeling guilty.

Requirements

  • Gamification and rewards for scanning.
  • Clear indicators of a garment's durability.
  • Non-intrusive, positive reinforcement.

Approach & Execution

Translating research into tangible user interfaces, focusing on progressive disclosure and gamification to drive sustainable habits.

Phase 01

Progressive Disclosure

To prevent cognitive overload standing in a store aisle, I designed a 3-tiered data consumption model.

  • 1
    Instant Diagnostic OCR scanning surfaces an aggregate 0–100 Score.
  • 2
    Relatable Equivalencies Metrics translated into human anchors (e.g., "Saved 55 kg of CO₂").
  • 3
    Certified Provenance Direct access to third-party certifications (GOTS, OEKO-TEX).
Scan Screen Product Home Impact Details
Gamification Screen Quiz Screen
Phase 02

Actionable Gamification

Knowledge isn't enough to drive behavior change. I integrated a robust gamification loop.

  • Micro-Learning Quizzes Users earn points by answering questions about sustainable practices.
  • Impact Milestones Unlocking new levels and avatar customization options based on scan history.
Phase 03

Scalable Token System

A robust design system is essential for a product spanning B2C apps, B2B dashboards, and marketing sites. I built a highly scalable token architecture in Figma that abstracts absolute values into semantic variables.

  • 1
    Semantic Naming Colors and typography are defined by function (e.g., action-primary) rather than hex codes, enabling seamless dark mode toggling and multi-brand white-labeling.
  • 2
    Component Architecture Every UI element is built using nested Auto Layout and Master Components, ensuring a single padding update propagates flawlessly across hundreds of screens.
  • 3
    Developer Handoff The design tokens are structured to perfectly mirror Tailwind CSS variables, eliminating the translation gap between Figma and frontend engineering.
Fils Logo
Core Palette
#5778F0
#5CDCB6
#FFB09B
#0C092A
Typography System
Display / Medium Rubik
Aa
Body / Regular, Semibold Inter
Aa

App Ecosystem

Beyond the core scanning experience, Fils is a comprehensive platform featuring social leaderboards, deep educational content, and robust user profiles.

Social
Community Feed

See what brands your friends are scanning and discovering.

Community UI
Discovery
Brand Discovery

Explore sustainable fashion brands categorized by impact.

Brands UI
Learn
Educational Hub

Learn about circular economy and sustainable fabrics.

Education UI
Account
User Profile

Track your personal footprint and history of scanned items.

Profile UI
Details
Brand Details

Deep dive into a brand's third-party certifications.

Brand Detail UI
Social
Friends Network

Compare your sustainable footprint with your social network.

Community Detail UI
Content
In-depth Articles

Read detailed guides on ethical consumption and recycling.

Education Article UI
Gamification
Global Ranking

Gamified ranking system to incentivize better buying habits.

Leaderboard UI

Product Strategy

A beautiful app is meaningless if the business model isn't viable. To ensure Fils could scale without charging the end-user (which would introduce friction), we developed a robust B2B and Freemium monetization strategy.

B2C: Free Core

The core scanning and educational loops remain 100% free for consumers to drive rapid adoption and habit formation. We completely remove the paywall barrier to ethical consumption.

B2B: Data Services

We monetize by selling aggregated, anonymized trend reports to fashion brands and providing consultancy services to help them improve supply chain transparency based on user patterns.

The Growth Flywheel

Consumer scale drives B2B value.

By keeping the consumer app entirely free, we rapidly acquire a massive user base. Their daily scanning behavior generates the exact high-fidelity market data that fast-fashion brands desperately need to adapt, effectively subsidizing the entire ecosystem.


Results & Impact

The high-fidelity prototype was subjected to rigorous usability testing with diverse participants across multiple retail environments. The outcomes overwhelmingly validated our core hypothesis: combining frictionless scanning with transparent data architecture dramatically shifts consumer purchasing intent.

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Seamless Usability Validation.

Moderated usability tests across diverse participant profiles (ages 20 to 72) achieved a 100% task completion rate for primary scan-to-evaluation user journeys.

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Market Viability.

Designed with a sustainable dual B2C & B2B freemium model, ensuring long-term revenue growth without compromising the core ethical mission.

Rapid
Iteration.

Resolved cognitive navigation issues identified during testing by clarifying the "Els meus fils" community iconography and elevating secondary categorical filters on the main product view.

Wireframe to Final UI.

Continuous evolution of the core product view through rigorous testing and qualitative user feedback.