One Fashion Hub For All
One Fashion Hub For All
As the Product Designer on FINDR, I led UX research, product strategy, interaction design, and engineering handoff from early discovery through to launch. Over a 4-month journey, I collaborated closely with developers, marketing, and stakeholders, supported significantly by Google, who provided cloud credits that enabled us to go beyond MVP to full App Store deployment.
FINDR began as a vision for a smarter fashion discovery tool. It was born from a simple frustration: inspiration was easy, action wasn’t. People screenshot outfits they love but then what? Where do they buy the look? How do they keep track of what they already own or want to own?
The goal was to close this gap between inspiration and acquisition, combining visual intelligence, wardrobe logic, and multi-vendor shopping into a single mobile experience.
Date:
Dec 2024
Timeline:
4 months
Role:
Founding Designer & Brand
Team:
Sebastian Ternes, Tobias Wedel,
Elina Shirinyan
Sebastian Ternes,
Tobias Wedel,
Elina Shirinyan
Vision
"At FashionFINDR, we redefine fashion discovery with one-click empowerment, effortlessly guiding users to their desired fashion pieces. Dive into a colorful fashion community where effortless style curation and self-expression flourish."
Verbal Identity
FINDR speaks with style, but never with superiority. Our tone is confident and forward-thinking, delivering clear and concise messages that resonate with our audience. We communicate with passion and conviction, inspiring users to embrace their personal style with confidence. While we strive for innovation, our tone remains approachable and inclusive, inviting users to join us on our journey towards fashion empowerment.
Visual Identity
The design language uses soft neutrals with bold accent colors. Typography feels editorial yet approachable. Interface elements follow clean, intuitive patterns that are never over-designed. Emojis, toggles, and modular blocks reflect a tactile, responsive design system that visually guides without overwhelming.
Discovery
To ground our direction, I led qualitative research with Gen Z and Millennial users. We created diary studies and journey maps that tracked how users discover fashion, save ideas, shop across platforms, and manage their wardrobes.
Our key insight: users want a cohesive process, not a set of tools. The fragmentation from Instagram to screenshots to ten browser tabs was a UX failure waiting to be solved.
Our persona, built from this research, was clear: a creative, digitally native user who values expression but doesn’t want complexity.
Define
Rather than organizing our development around a traditional feature backlog, we structured the product’s scope around core user actions, reflecting the natural flow of interaction introduced during onboarding:
See it → Users land on a personalized For You page that adapts to their fashion preferences. This acts as their discovery space for trends, inspiration, and tailored recommendations.
Find it → They can upload or snap a photo of any fashion piece they love. Our AI-powered visual recognition engine scans the image to identify similar items across hundreds of retailers, both first-hand and second-hand.
Buy it → Once results are surfaced, users can scroll through a list of shopping options and purchase their perfect match directly in-app.
We centered our experience design around the simplicity of this flow, making one-click, cross-brand checkout a standout feature. The goal: let users create and complete their look in minutes, without hopping across stores, tabs, or carts.
Design
We structured our product development into two sprints: one for foundation, one for refinements.
Sprint 1: We mapped core flows in Figma starting with the FINDR tool, a feature that lets users upload a photo and identifies clothing items using visual AI. We tested basic navigation: image upload → detection → recommendation → wardrobe save or shop.
To ensure our design vision aligned with technical feasibility, we took an iterative prototyping approach, moving directly into Xcode to build and test our flows on-device. Collaborating with developers, we verified every interaction step, from photo permissions to dynamic rendering of results, against performance expectations and usability standards. This hands-on testing enabled us to refine our motion cues, image cropping logic, and loading behavior based on real device performance.
Sprint 2: In our second sprint, we shifted focus toward polish, usability, and performance. This phase was dedicated to stress-testing the entire product flow and enhancing the UI for a more cohesive user journey. Based on insights from our MVP tests, we redesigned core touchpoints, including the product detail view and visual search interface with clearer instructions, feedback cues, and progress indicators to boost task completion and clarity.
I also refined the reverse image search by breaking it into three clear steps upload, crop, and filter, each paired with instructional guidance. As demonstrated in user testing, these improvements resulted in a significant increase in successful task completion rates and overall satisfaction.
Our workflow relied on Miro for interaction mapping, Figma for component and flow prototyping, and Jira to align assumptions, log technical constraints, and track qualitative user feedback collaboratively across design and engineering.
Collaborating with Engineering
To ensure a smooth handoff, I prepared redlined Figma files, annotated with specifications. I also built a slide deck outlining screen-by-screen design changes. These assets were integrated into Jira tasks and discussed in sprint planning. The dev team highlighted this as a model handoff, easy to implement, with minimal clarification required.
Scaling with Google
With the support of Google Cloud credits, we transitioned from a semi-functional prototype to a robust beta. Google Cloud hosted our backend pipelines for image recognition and enabled scalable infrastructure for the shopping cart logic. Their support allowed us to ship to the App Store faster than planned.
Launch & Learnings
FINDR is now live on the App Store. Users can upload a photo, get item matches, and build complete outfits from different vendors, then check out once, across all, in a single unified cart.
Looking back, FINDR wasn’t just a design challenge. It was a systems challenge: how do you align visual inspiration, structured wardrobe logic, and shopping infrastructure without overwhelming users?
The key was always clarity. In UX. In communication. In handoff. In vision.
Reflections
This project reminded me that good design is invisible, but not accidental. It takes systems thinking, obsessive clarity, and thoughtful empathy.
From early research to final deployment, every decision was tied to one belief: that fashion should feel joyful, not fragmented.
One Fashion Hub For All
One Fashion Hub For All
As the Product Designer on FINDR, I led UX research, product strategy, interaction design, and engineering handoff from early discovery through to launch. Over a 4-month journey, I collaborated closely with developers, marketing, and stakeholders, supported significantly by Google, who provided cloud credits that enabled us to go beyond MVP to full App Store deployment.
FINDR began as a vision for a smarter fashion discovery tool. It was born from a simple frustration: inspiration was easy, action wasn’t. People screenshot outfits they love but then what? Where do they buy the look? How do they keep track of what they already own or want to own?
The goal was to close this gap between inspiration and acquisition, combining visual intelligence, wardrobe logic, and multi-vendor shopping into a single mobile experience.
Vision
"At FashionFINDR, we redefine fashion discovery with one-click empowerment, effortlessly guiding users to their desired fashion pieces. Dive into a colorful fashion community where effortless style curation and self-expression flourish."
Verbal Identity
FINDR speaks with style, but never with superiority. Our tone is confident and forward-thinking, delivering clear and concise messages that resonate with our audience. We communicate with passion and conviction, inspiring users to embrace their personal style with confidence. While we strive for innovation, our tone remains approachable and inclusive, inviting users to join us on our journey towards fashion empowerment.
Visual Identity
The design language uses soft neutrals with bold accent colors. Typography feels editorial yet approachable. Interface elements follow clean, intuitive patterns that are never over-designed. Emojis, toggles, and modular blocks reflect a tactile, responsive design system that visually guides without overwhelming.
Discovery
To ground our direction, I led qualitative research with Gen Z and Millennial users. We created diary studies and journey maps that tracked how users discover fashion, save ideas, shop across platforms, and manage their wardrobes.
Our key insight: users want a cohesive process, not a set of tools. The fragmentation from Instagram to screenshots to ten browser tabs was a UX failure waiting to be solved.
Our persona, built from this research, was clear: a creative, digitally native user who values expression but doesn’t want complexity.
Define
Rather than organizing our development around a traditional feature backlog, we structured the product’s scope around core user actions, reflecting the natural flow of interaction introduced during onboarding:
See it → Users land on a personalized For You page that adapts to their fashion preferences. This acts as their discovery space for trends, inspiration, and tailored recommendations.
Find it → They can upload or snap a photo of any fashion piece they love. Our AI-powered visual recognition engine scans the image to identify similar items across hundreds of retailers, both first-hand and second-hand.
Buy it → Once results are surfaced, users can scroll through a list of shopping options and purchase their perfect match directly in-app.
We centered our experience design around the simplicity of this flow, making one-click, cross-brand checkout a standout feature. The goal: let users create and complete their look in minutes, without hopping across stores, tabs, or carts.
Design
We structured our product development into two sprints: one for foundation, one for refinements.
Sprint 1: We mapped core flows in Figma starting with the FINDR tool, a feature that lets users upload a photo and identifies clothing items using visual AI. We tested basic navigation: image upload → detection → recommendation → wardrobe save or shop.
To ensure our design vision aligned with technical feasibility, we took an iterative prototyping approach, moving directly into Xcode to build and test our flows on-device. Collaborating with developers, we verified every interaction step, from photo permissions to dynamic rendering of results, against performance expectations and usability standards. This hands-on testing enabled us to refine our motion cues, image cropping logic, and loading behavior based on real device performance.
Sprint 2: In our second sprint, we shifted focus toward polish, usability, and performance. This phase was dedicated to stress-testing the entire product flow and enhancing the UI for a more cohesive user journey. Based on insights from our MVP tests, we redesigned core touchpoints, including the product detail view and visual search interface with clearer instructions, feedback cues, and progress indicators to boost task completion and clarity.
I also refined the reverse image search by breaking it into three clear steps upload, crop, and filter, each paired with instructional guidance. As demonstrated in user testing, these improvements resulted in a significant increase in successful task completion rates and overall satisfaction.
Our workflow relied on Miro for interaction mapping, Figma for component and flow prototyping, and Jira to align assumptions, log technical constraints, and track qualitative user feedback collaboratively across design and engineering.
Collaborating with Engineering
To ensure a smooth handoff, I prepared redlined Figma files, annotated with specifications. I also built a slide deck outlining screen-by-screen design changes. These assets were integrated into Jira tasks and discussed in sprint planning. The dev team highlighted this as a model handoff, easy to implement, with minimal clarification required.
Scaling with Google
With the support of Google Cloud credits, we transitioned from a semi-functional prototype to a robust beta. Google Cloud hosted our backend pipelines for image recognition and enabled scalable infrastructure for the shopping cart logic. Their support allowed us to ship to the App Store faster than planned.
Launch & Learnings
FINDR is now live on the App Store. Users can upload a photo, get item matches, and build complete outfits from different vendors, then check out once, across all, in a single unified cart.
Looking back, FINDR wasn’t just a design challenge. It was a systems challenge: how do you align visual inspiration, structured wardrobe logic, and shopping infrastructure without overwhelming users?
The key was always clarity. In UX. In communication. In handoff. In vision.
Reflections
This project reminded me that good design is invisible, but not accidental. It takes systems thinking, obsessive clarity, and thoughtful empathy.
From early research to final deployment, every decision was tied to one belief: that fashion should feel joyful, not fragmented.
© Selected Works / Fynn Langnau
Your brand deserves the best. Let me help you achieve it with a human-centered mindset.
Available for work
Let's Work Together.
© Selected Works / Fynn Langnau
Your brand deserves the best. Let me help you achieve it with a human-centered mindset.
Available for work
Let's Work Together.
© Selected Works / Fynn Langnau
Your brand deserves the best. Let me help you achieve it with a human-centered mindset.
Available for work
Let's Work Together.