UX. Product. Service. All these professions rely on solid insights — about the people and systems we design for and whether our concepts actually work. Quantitative skills can help you measure the scale of the patterns you identify and help communicate potential impacts of a design decision.
In an era where the data streams are turned on full volume, where professions are melting and merging, and where it's possible to code in seconds — Quant Kit unlocks the world of data science for designers.
Quant Kit is data analysis taught as a creative practice, by a designer, for designers.
Quant Kit provides studio sessions to build your data practice, piece by piece. Designed to be something you explore lightly each week, Quant Kit helps you build techniques, vocabulary, and the mindset to work quantitatively.
Format
One session per week in your inbox. Open it next to RStudio, follow along, practice. No videos to watch at 1.5x speed. No platform to log into. No discussion forums you'll never visit. Just you, code, and whatever snacks or beverages get you in a good mood.
Method
You'll write code from Session 1. Some of it will work. Some won't. You'll get error messages. This is completely normal and actually the point. Learning happens when you're slightly confused and working through it.
Spirit
Full disclosure: data is genuinely exciting. Expect curiosity, occasional bad metaphors, honest talk about what's hard, and probably some tangents about the wild history of statistics. This is an adventure — sometimes challenging, sometimes funny, always rewarding.
Hi! I'm Francesca.
I'm a designer with an economics background. My undergrad was spent in courses like econometrics and statistics. The first program I ever made analysed student feedback surveys for my Econ department — cutting analysis time by 90%.
I made the, not so common, transition to the world of service design and over the past ten years I've merged my quantitative roots with my design practice. I've helped designers validate the scale of a pattern or opportunity they identify, build robust segments that blend qualitative insights and quantitative analyses of behaviors, test different design hypotheses, and model potential solutions.
My quantitative approach is explorative. I don't work like a pure data scientist. I know enough about the rules of data and statistics to have a robust foundation, but I approach each problem from a creative angle. It's explorative and builds into the strategic and more intuitive decisions across my design process. And it's a never ending learning journey.
I believe quantitative work can be part of your craft, woven into how you think and design, the same way you learned other tools. I'm here to share what I've learned and help you get comfortable with data — comfortable enough to use it, question it, visualise it, and make better design decisions.
Want to experiment with me? Let's build your quant practice together.
Help shape Quant Kit from the ground up (and get free access)
Quant Kit is brand new. I've got the structure for a 10-week introduction to R and statistics — but I want to build it so that it's actually valuable for designers. So in true prototyping fashion, I need a small group of brave souls to join me on this mission. Share your motivation and goals, try out the sessions, break things, ask questions, and help me understand what works and what needs work.
What you get
What I need from you