role

Product Manager
UX/UI Designer
UX Researcher

tools

Figma
Illustrator
Photoshop

team

3 UX Researchers
2 UX/UI Designers

problem

Independent designers struggle to gain visibility in a saturated market because they often lack the marketing resource and brand recognition that well-established designers have.

90%

of new brands fail in the first five years from lack of visibility

85%

of fashion shoppers rely on visual platforms for inspiration

70%

of online shoppers are more likely to purchase from curated recommendations

so...

How can we help independent designers get noticed to increase their visibility?

Research

To first understand the current fashion ecosystem, we analyzed competitors using a SWOT analysis and organized our findings into Affinity Maps, HMWs, and POV statements to define our problem statement.

Pain Points: Lack of Visibility & Competition
our working problem statement

"Independent designers struggle to gain visibility in a saturated market because they often lack the marketing resources and brand recognition that well-established designers have."

interviews

But, we still wanted to see if this matched the needs of real-world designers, so we interviewed five independent designers to confirm their challenges.

Persona

After confirming their challenges, we then consolidated them into a persona so we could pinpoint how our solution could fit in.

"As an independent designer, I want to gain recognition from potential customers."
Mariko
BIO

A self-taught designer that struggles with marketing her brand.

goal

Expand reach organically without heavy marketing investment.

challenge

Struggles with visibility in a crowded market without paid ads.

need

Cost-effective ways to increase brand exposure and attract customers.

motivation

Seeing their designs resonate with a loyal audience.

behavior

Relies on social media and word-of-mouth for organic growth.

our key findings

It's hard to get noticed.

Current platforms lack personalization.

The market is over saturated.

It’s difficult to trust smaller brands.

Here's what we offered

Enhanced visibility through a featured page.

Ability to customize lookbooks through mood boards.

Recommendations that introduces designers.

Recognition building through a follower base.

Feature Scoping

In order to ensure a delivery that solves our problem, we deduced our offerings into two core solutions to maintain focus on the root issue rather than introducing scattered functionality that only addresses symptoms.

problem

Lack of visibility

solution 001

Personalized recommendations

solution 002

Customizable moodboards

user flow

By building off our two core solutions, we developed a user flow to explore their functionality in real-world scenarios, with our persona in mind.

Design

For better visualization, we translated our user journey map into low fidelity wireframes. After a team critique using heuristic analysis, we then moved onto hi-fidelity wireframes.

001─Onboarding

Introduces users to the app’s purpose.

002─moodboarding

Helps users create look books and shop for clothing based on their style and interests.

003─personalized Recommendations

Uses AI to find and recommend visually similar clothing for easy browsing and shopping.

004─Buying & Selling

Allows users to buy and sell clothing through independent seller profiles.

CSS Configurations

To ensure readability, we chose Satoshi to maintain a clean and modern feel. For the entire design, we utilized a 4-column, 20-margin, 10-gutter grid system.

Components library

For consistency and scalability, we built a reusable component library.

Using self-reported scores, we conducted 3 user tests to validate the functionality of these features of their ease of use. Here were the key questions we asked:

001

"On a scale of 1-5, how interested would you be in using an AI tool that finds similar products based on an image you click?"

002

"On a scale of 1-5, how useful would creating a moodboard be in organizing and discovering products?"

003

"On a scale of 1-5, how appealing would personalized product recommendations be based on your preferences or moodboards?"

user testing
004

"On a scale of 1-5, how likely are you to return and use this tool again?"

5/5

all users would be interested in using AI tool to find similar products.

3/5

two out of three users found moodboarding useful.

5/5

all users would be appealed to personalized recommendations.

4/5

two out of three users rated highly on using all tools on the app.

001

Clear user needs lead to better solutions – Identifying pain points early helped me design features that truly support independent designers.

002

Focus prevents unnecessary complexity – We narrowed our offerings to two core solutions to solve the root problem rather than just its symptoms to remain grounded in our goals.

003

Testing improves usability – User feedback was key to refining recommendations and moodboards in giving me new perspectives that I haven't predicted before.

takeaways