jeromebenoit.com

What It Is

Jérôme Benoit Reveau is a seasoned Staff Product Designer specializing in design systems, design operations, and AI-assisted design infrastructure. His personal website is more than a portfolio; it presents a methodology for “achieving scalable design quality through systematic governance,” with core case studies centered on his deep work at Doctolib.

Core Dimension Analysis

• Tool/service type and core features: Provides services in design system architecture, governance model building, and accessibility framework design. He advocates “systems before screens,” with core strengths in building a two-layer design system architecture (such as an Oxygen core layer + business context layer) and integrating AI natively into UX frameworks as a first-class design element rather than adding it on afterward.
• Collaboration capabilities and resource library scale: Demonstrates exceptionally strong cross-functional collaboration architecture capabilities. In the Doctolib project, his system supported 60+ designers and 400+ developers across 5 countries, delivering 70,000+ components per week. He designed a rigorous governance model—including 48-hour review pre-fill forms, constraint-based decision logs, and tiered impact frameworks—to ensure decision consistency in large-scale collaboration.
• Export and compatibility: Design system components are delivered directly to Storybook by a dedicated engineering team, while business teams import only from the corresponding context layer. In addition, the accessibility framework he led is strictly compatible with both browsers and Electron clients, meeting WCAG 2.1.4 and RGAA 4.1 standards.

Pricing

The website serves as a personal portfolio and résumé showcase, with no publicly disclosed pricing for consulting or employment.

Pros and Cons

• Pros: Rare “system-level” design thinking; deeply integrates AI and accessibility compliance into the underlying architecture rather than treating them as superficial features; highly practical governance model that effectively addresses decision-making chaos in large-scale teams.
• Cons: Case studies are heavily concentrated around a single company, so general applicability remains to be validated; methodology is geared toward very large teams and may be overly heavy for small and midsize teams; lacks specific service pricing and engagement process information.

Who It’s For

Medium to large B2B/B2C companies undergoing rapid scaling and facing a breakdown in design consistency; product teams that need to build or rebuild a design system, establish a design governance model, or deeply implement AI and accessibility compliance.

Access in China

Unknown. As a personal portfolio website, it would typically have no special restrictions, but this has not been tested.