Figma AI pour les designers produit

Ce qu'elle couvre

Cet atelier pratique couvre les capacités IA natives de Figma — notamment Make Designs, First Draft, les suggestions d'auto-layout et le prototypage assisté par IA — pour permettre aux designers d'intégrer ces outils dans leurs projets réels. Les participants apprennent où l'IA accélère l'idéation et où le jugement humain reste indispensable, y compris les considérations éthiques liées à la propriété intellectuelle des clients. Les sessions combinent démonstrations en direct et exercices guidés sur les projets des participants. À l'issue de la formation, chaque participant peut évaluer, adopter et encadrer les fonctionnalités IA de Figma au sein de son design system.

À l'issue, vous saurez

• Generate a responsive UI layout from a text prompt using Figma Make Designs and refine it to match an existing design system
• Use First Draft to produce structured wireframes and critically assess their quality before integrating them into a project
• Write effective prompts that produce consistent, on-brand results within Figma's AI tools
• Identify and apply team-level guidelines for ethical use of AI-generated designs with client work, including IP and disclosure considerations
• Audit an AI-generated design for accessibility, consistency, and system compliance before handoff

Sujets abordés

• Overview of Figma AI feature set and roadmap
• Make Designs: generating UI from text prompts
• First Draft: rapid wireframe and layout generation
• AI-assisted auto-layout and component suggestions
• Integrating AI outputs into existing design systems
• Prompt crafting for consistent, on-brand results
• Ethical use: client IP, originality, and disclosure
• Reviewing and quality-gating AI-generated designs

Modalité

Delivered as a full-day in-person or remote workshop using Figma's web app; participants should join with their own Figma accounts (Professional plan or above recommended for full AI feature access). The session is 70% hands-on exercises using real or anonymised participant project files and 30% facilitated demonstration and discussion. A shared Figma team file with starter frames and design system tokens is provided. A short async pre-read (30 min) on Figma's AI changelog is sent one week before the session.

Ce qui fait que ça marche

• Establishing a shared prompt library within the team so AI outputs remain on-brand and reusable
• Running a weekly 'AI output review' ritual where designers share what worked and what was rejected, building collective judgment
• Anchoring AI feature adoption to an existing design system so generated components are automatically held to system standards
• Creating a lightweight ethical use policy for AI-generated designs before rolling out to client-facing projects

Erreurs fréquentes

• Accepting Make Designs output without checking component linkage, resulting in designs that break when the system updates
• Using AI-generated assets for client deliverables without reviewing IP and disclosure obligations in the client contract
• Treating Figma AI as a replacement for user research, skipping validation of AI-suggested layouts with real users
• Neglecting to establish team-wide prompting conventions, leading to inconsistent AI outputs across the design team

Fournisseurs à considérer

• Ironhackwww.ironhack.com →
• Uxceluxcel.com →
• LinkedIn Learningwww.linkedin.com/learning →
• Dribbble Design Coursedribbble.com/courses →

Sources

• Figma AI — Official Feature Overview →
• Figma Make Designs Documentation →