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Fleek
Your style, on Fleek
Co-founded and designed an AI-powered startup for
personalized fashion discovery
Role
Co-founder and designer
Timeline
2020-2022
Industry
Fashion
Finding the right clothes online that match your style can be a tedious process. Shoppers open up ten tabs and scroll through thousands of items before finding an item that match their style. Not only is this painfully inconvenient but it is also a huge waste of time.
Fleek is the first smart discovery platform to browse fashion curated from your favorite brands, all in one app. Our personalization AI makes it much easier and faster to find clothes that match your style. As you shop, Fleek learns your preferences and recommends items across top brands such as Urban Outfitters and Revolve.
During the time it was up, Fleek had over a million swipes, 10k downloads, and hundreds of sales. Below are glimpses of the the product!
Gestural Interface
Fleek had a Tinder-inspired home page, which let users quickly browse items and easily swipe right to fave them and swipe left to trash them. This fed into our AI model which improved our personalization.
Search
Search across all brands with lightning quick autocomplete and fluid pull-down to search gestures.
Boards
Think playlists but for clothes. A collection of products that you can manually create or that Fleek will suggest for you based on your faves. You can follow your friends’ boards to shop collaboratively.
Full App Demo
Team
I co-founded Fleek with a couple of remarkably talented friends from USC, Naman Kedia and Kian Ghodoussi.
Our team worked very closely together, from designs, to animations, to back-end components needed to make the app smart. Although I primarily worked on the design, I also worked with Naman to make sure interactions are as envisioned and with Kian for overall functionality.
Marketing
We built a team of amazing campus ambassadors that promoted our brand and platform in their respective universities. I worked with them to create content consistent with our Fleek brand. This included writing content, putting together graphics, and animating prototypes. We now also had a tight feedback loop with passionate members of our target demographic.
UX Research
Open Ended User Interviews
To further uncover the needs and pain points of users, I did some empathy mapping. I took notes as I went through the interviews on what users were thinking/feeling, their content needs, and pain points while using each main feature of the app.
Specific UX Research and Data Analysis
To test my designs, I ask the same questions or run A/B tests directly with 10-15 users in our target demographic (Women ages 16-24). I focus on asking specific questions such as:
- "How often do you sort by price vs. brand?"
- "Can you show me how you would add an item to your bag from this screen?"
- "Is there a difference between these two sections?"
Another primary method of research I use is data analysis. Whenever we create a new feature with new designs and launch an MVP, I analyze the data on how users use the new feature. If there is a clear increase in the number of clicks or engagement on the feature, the designs are usually considered successful.
Fleek x Snapchat
Our team won the prize "Best Design" in the Snapchat Snap Kit Developer Challenge. We integrated a share with Snapchat to be able to send your fave clothing items to your friends!
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