Figma Fashion

Fashion • Data • Design

Feb 09

I have a confession to make.
I’m a bit obsessed with style.

To the extent that I have a detailed Figma file with all my clothes, organized by season and color palette.

There’s a frame dedicated to my favorite dresses—most of them Farm Rio (may the gods grant me my wish that one day they sponsor me). There are individual frames for trips where I plan my outfits in advance. I know what I will wear each day and when I will have to do laundry.

This file makes me feel like a model. Or a dragon sitting on top of it’s pile of gold. I love looking at this file—I even keep it open at work sometimes, like a little reminder of where my paychecks go.

I’ve approached my wardrobe like a design project—because good style, like good design, is intentional.
Let me give you a little tour. 👠

"Fashions fade, style is eternal." —Yves Saint Laurent

Turning a work dress into a Halloween costume 💃🏼.

So, how did we get to the Figma file?

While I like organizing things, the idea really took shape when Pinterest first showed me capsule wardrobes. Specifically, this blog post from Laurie Loo, which suggests only having a 52-piece year-round wardrobe. I’ve always had a minimalist side—I don’t like owning too many things, and clutter makes my skin crawl—so the idea of having a small number of high-quality pieces I could mix and match seemed like a dream.

So, I started a little design project. Complete with all it’s phases: researching, testing, iterating, prototyping, and implementing.

My goals were clear: look good, love my clothes, and keep the total number of items low. I started with research. I read plenty of articles and watched YouTube videos to learn as much as I could. What colors suit my complexion with seasonal color analysis, how to take measurements to determine my shape type, and even a deep dive into Kibbe body types to align my wardrobe with my personality (I’m somewhere between a romantic and a gamine, if you want to know).

Over time, I started noticing trends—what colors looked best on me, what patterns I was naturally drawn to. I also made mental notes whenever friends complimented my outfit or when a stranger asked where I got something. These helped me define the iterations and curation process for my wardrobe. The current version hasn’t changed much in the last two years, so we’ve finally arrived at a mature product.

At the same time, I was trying to keep track of what I owned in some sort of system. I tested several software solutions—Notion, Illustrator, Miro—before finally settling on Figma. As a designer, it was the easiest tool for me to manipulate, gave me the most freedom, and I could access it on almost any device. I even experimented with some visualizations on an older version of my closet, back when I lived in Boston and wore way more blues and greens. Most days now, you’ll find me in red or purple. People change.

A glimpse into a previous era of my closet

For my first closet visualization, I illustrated each piece in vectors. It was fun, but painfully time-consuming. This time around, I went for a more efficient approach: photos. I used official product photos when I bought something new, searched for similar pieces online to screen grab, or just took pictures at home against a white background.

Once I had everything in Figma, I mapped out the colors I was wearing the most to develop a personal color palette. Then, I labeled everything and divided it into sections—clothing categories like outerwear, shoes, tops, and bottoms, and color groups like neutrals, complementary tones, and accents.

With this setup, I could also group clothes by season and create micro-capsules. These turned out to be incredibly useful for travel planning, packing outfits based on weather conditions, and for storing off-season clothes.
I even added a bit of data visualization. Pieces got an outline based on their status: green if I’m making it, orange if it needs tailoring, etc.

My year-round capsule wardrobe

As the file’s main user, I’m basically its most loyal customer—I use it daily.
So, here’s my own user feedback:

✅ Advantages

  • Quick overview of what I own and what I can wear.

  • A record of outfits that work, making it easy to put together new combinations.

  • Packing history for trips—if a location has a similar climate, I can reuse past outfit plans.

  • A checklist for traveling, so I don’t leave anything behind.

⚠️ Disadvantages

  • None. (JK.)

  • I can’t really count items automatically beyond Figma’s limitations.

  • I can’t really make edits on mobile devices.

I can’t stress enough how much I love this file. I love showing it to friends, and some of them also have their own frameworks to organize their closets. Fashion is everyone’s personal design project. 💡

Outfit planning for the Paris-Dublin trip

This design project is a total success. I am in love with my wardrobe. 💘

While I can be a bit obsessive, as you have seen, I’m not a fashion snob.
I try keep myself in check by sticking to a “replace, don’t add” and a good portion of my clothes are secondhand. My closet also has range— one end a solid base of Uniqlo essentials and in the other, my crown jewels: Farm Rio, Compañía Fantástica, and Remulia. I even have handmade pieces I crocheted myself and a blouses with traditional Otomi embroidery.

I’d describe my style as colorful, bold, and full of prints—basically, "But how will people know I’m Latin American?" A friend once called me a maximalist, and honestly, I want that compliment on my gravestone.
Maybe right underneath stylish. Or at least ‘very organized’.

That’s Enough About Me!

What do you think? What should I focus on next?

Should I make a tutorial on how to find your own Fashion Figma file? Maybe I can start tracking my daily outfits and see what pieces get more bang for the buck? Or even do a second round of dataviz with my current closet?

Let me know—shoot me an email! 😊
📩 sifuentesanita@gmail.com