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Léa Dupont

I studied interaction design at ENSCI in Paris and then made the classic French designer mistake: I moved to San Francisco. I spent two years at a design agency in SoMa doing contract work for startups that were mostly spending their seed funding on branding they didn't need yet. I designed seven logos, three brand identities, and one pitch deck that helped raise a Series A. (The company pivoted six months later. The logo survived.)

I moved back to Paris in 2018 and joined BlaBlaCar, the ride-sharing platform, as a product designer. BlaBlaCar was an interesting design challenge because the product had to work for two very different user groups: tech-savvy urban millennials and older suburban users who were primarily motivated by saving money on fuel. The same interface had to feel modern and trustworthy simultaneously, which is harder than it sounds.

After a year of shipping features, I realized that our design inconsistency was slowing us down more than any individual feature decision. Three product teams were building the same button three different ways. I pitched the leadership team on building a design system. They said yes. I spent the next two years building Plasma, BlaBlaCar's design system, from the ground up: token architecture, component library, documentation, adoption metrics, the works.

In 2021, Datadog recruited me to lead their design systems team. Datadog was a different universe: 1,000+ engineers, dozens of product teams, and a product surface area that included dashboards, monitors, logs, APM, security, and about 15 other products that all needed to feel like one coherent thing. Building a design system at that scale isn't a design problem; it's an organizational problem. You're not designing components. You're designing governance models, contribution workflows, and incentive structures that make it easier for teams to use the system than to ignore it.

The thing I learned at Datadog that I now write about constantly: a design system is a product. It has users (designers and engineers). It has adoption metrics. It has a roadmap. And like any product, it fails when it's built based on what the team thinks users need rather than what they actually need. The number one reason design systems fail isn't technical. It's political. Someone builds a beautiful component library, ships it without talking to the teams who'll use it, and then wonders why adoption is at 30% after a year.

I joined Signal because design systems discourse is overwhelmingly tactical (which Figma token plugin should you use?) and almost never strategic (how does your design system affect your organization's velocity?). I want to write about the strategic layer.

I live in Le Marais, Paris. I paint watercolors on weekends, I have strong opinions about typography, and I believe that Helvetica was a mistake. (I'm mostly kidding. Mostly.)

Experience

Articles by Léa Dupont (9)

Spotify's Profit Paradox: €2.2B in Earnings, €12M in Tax, and a Business Model AI Might Destroy751 million users. 290 million subscribers. Record margins. A stock down 50% from its peak. Inside the numbers Spotify doesn't want you to look at too · Feb 25, 2026$3.14 Pizza and 70M Brackets: The Economics of Calendar-Based Marketing StuntsPi Day deals and Selection Sunday brackets collide this weekend, creating a natural experiment in calendar-anchored promotions. The data reveals which · Mar 14, 2026Email Won the Distribution War. Everyone Was Too Busy Chasing Algorithms to Notice.While publishers optimized for Google, Facebook, and TikTok, newsletters quietly became the most reliable distribution channel on the internet. The in · Mar 16, 2026The EU AI Act Is Now Enforced. The First Fines Are Coming for American Startups.February 2026 marked enforcement of the EU AI Act's high-risk provisions. Three US-based AI startups have received preliminary compliance notices. The · Mar 20, 2026The EU AI Act Starts Biting: First Fines, Who Got Hit, What NowSixteen months into staged enforcement, the AI Office has issued roughly €67M in penalties across 14 actions. The Brussels Effect is no longer theoret · May 21, 2026The Complete JSON-LD Schema Stack for AEO in 2026 (With Copy-Paste Templates)Every article, FAQ, product, and service page on your site needs a different schema configuration. Here is the definitive implementation guide for AI · May 25, 2026ChatGPT Memory and Brand Recall: How Persistent Context Changes AEOBright Horizons, KinderCare, Care.com, and Winnie are fighting for the AI default on best daycare near me and background-checked nanny queries. NAEYC · May 25, 2026Annual State of Industry Reports: The Single Highest-ROI AEO Citation Magnet for B2BVisual AI crawlers from Google Gemini, OpenAI GPT-4V, and Claude Vision parse image pixels for product recognition and OCR. Format choice now changes · May 25, 2026Webflow vs Squarespace AEO: Where No-Code Builders Hit a Hard WallA practitioner audit of Yoast, Rank Math, AIOSEO, Schema Pro, the LLMs.txt ecosystem, and FAQ Schema plugins, scored on the only thing that matters in · May 26, 2026