Role
Duration
Team
Skills
January - June 2025
(6 Months)
Product Designer
1 Project Manager
5 Designers
User Research
Prototyping
Brand Identity
Figma

Empowering users to style their existing wardrobe for their evolving fashion needs.
Identifit
How might we...
streamline the process of organizing users’ existing clothing items to help them explore and identify their styles?
Introducing Identifit!
The Explore Page
Existing solutions but they aren’t sticking
After synthesizing our research insights, we conducted a comparative analysis of existing closet apps to understand where current solutions fall short—and where meaningful opportunities remain.
Comparative Analysis

The Explore Page
We found that while many offered similar features—such as virtual wardrobes and outfit creation—they still weren’t resonating with users.
Users already had access to closet organization tools, but these fell short because the real challenge wasn’t tracking what they owned—it was identifying and expressing their evolving style.
Closet organization feels emotionally and mentally taxing
especially when users are attached to clothing they no longer wear.
1.
Users struggle to visualize and remember what they already own
making outfit planning feel overwhelming rather than intuitive.
3.
Most users rely on a small subset of their wardrobe
highlighting a gap between ownership and meaningful use.
4.
A lack of defined personal style leads to low confidence
making it difficult for users to know what looks good together or what to buy next.
2.
Research
For the first four weeks, we conducted extensive rounds of user research with a variety of users ranging from 15 to 26 years old to gain a better understanding of how users currently manage their wardrobes and express their personal styles.
People own more clothing than they actively wear, yet struggle to visualize, organize, and confidently style what they already have. Existing tools focus on tracking or inspiration, but fail to support low-effort experimentation—leaving users overwhelmed, underconfident, and reliant on a small subset of their wardrobe.
Identifit helps users organize their existing wardrobe and build confidence in their personal style. This case study focuses on the Explore experience, where I led design efforts to support outfit experimentation and style discovery through filters and outfit recreation.
Though 100+ survey responses and 17 interiews we learned...
Ideation
Ideations & Explorations
With a clear understanding of user pain points and the gaps in existing solutions, we revisited our core insights and realized these challenges unfold across three distinct stages.
I led the design of the Exploration page, which focused on helping users discover, define, and gain confidence in their personal style.
By focusing on exploration, I aimed to create an experience that encourages experimentation, surfaces forgotten items, and helps users build confidence in their evolving style.
To move efficiently while staying aligned to user needs, we divided the product into three focused workstreams.
Turning insights into features
Leading the exploration experience
Helping users organize their existing clothing items to create clarity.
Organization
Using that organization to identify their current style.
Recognition
Building on this recognition to guide users toward their ideal style and support them as their preferences continue to evolve
Exploration
In addition to these three stages, our iterations emphasized personalization, ensuring features could adapt to each user’s unique and evolving style, and simplicity, creating a clean, efficient flow that avoided overwhelming users.

Guided by our design direction, I focused on user priorities while maintaining our goal of streamlining wardrobe organization to support style discovery.
Users would be able to explore different outfits based on their closet. Users would also be able to see their friends uploaded outfits and discover new styles
Hypothesis
To maximize impact I focused on tags/filters, and outfit recreation because...
Supports quick experimentation
Outfit recreation paired with filters enables fast, low-effort outfit planning—especially when time is limited.
Guides style exploration
Tags and filters create boundaries that help users explore new styles without feeling overwhelmed by too many options.
Surfaces existing wardrobe items
Filtering by owned attributes helps resurface forgotten clothing and encourages reuse over new purchases.
Build confidence in styling
Personalized filters (body type, season, comfort level) surface outfits that feel relevant and wearable, increasing confidence in recreating looks.


As the largest consumers of fast fashion, Gen Z often make impulse purchases driven by social media trends, leading to overstuffed closets and repeated buys.
“Something that holds me back is I am still learning what exactly I like, so it’s hard to pick what I like...”
Let’s start from the beginning!
...
Context
The real opportunity: tackling Gen Z’s overconsumption and waste
As the largest consumers of fast fashion, Gen Z often make impulse purchases driven by social media trends, leading to overstuffed closets and repeated buys.
This presented the greatest opportunity to make an impact—by addressing overconsumption and reducing waste.



Explore Page
Users can either narrow down the outfit options step by step on their own to narrow outfit options reducing choice fatigue and overwhelming



Explore Page- Filters
Through the explore page. Users will be able to recreate and save outfits using their closet



Explore Page- Recreate
Reflection

Dipping my toes into the water of the design world!!!
Throughout these six months, I was able to gain much insight into how the design process looks like. I worked amongst a design team and was able to develop my skills in not only design itself, but also communication and team synergy!
This ultimately allowed us to win best design out of 5 other teams :D
Post project, I’ve been able to implement all of these design and team skills within all my projects and continue to search for amazing experiences like this one!



