Sightlines Issue no.1: Insights from Config | Figma Blog (opens in new tab)
Figma’s first *Sightlines* issue distills lessons from Config’s Leadership Collective about leading design, product, and engineering teams in the AI era. Although organizations are still experimenting with AI, core leadership principles remain unchanged: build curious teams, preserve quality, collaborate openly, and rely on human judgment. As AI accelerates production, taste and thoughtful editing become increasingly important differentiators. ## Navigating Leadership in the AI Era - Leaders are still determining how to integrate AI into products, teams, and workflows. - The central challenge is gaining AI’s speed without sacrificing quality. - Many leaders are learning alongside their teams rather than presenting themselves as having all the answers. ## Fundamentals That Still Matter - Strong leadership continues to depend on: - Curious, critical-thinking teams - High standards for craft - Clear judgment about what makes work effective - Leaders are encouraging a beginner’s mindset by: - Starting from first principles - Experimenting with new tools and processes - Prototyping directly with their teams ## Collaboration and Human Judgment - AI tools can encourage isolated, individual workflows, so leaders are emphasizing collaboration more strongly. - Effective practices include: - Open critiques and feedback - Showing work early - Debating outcomes collectively - As AI automates more creation, human “taste”—the ability to judge, refine, and select high-quality work—becomes the key differentiator. ## Lessons from Industry Leaders - Teo Connor of Airbnb argues that an increase in mediocre AI-generated work will make strong editing and creative judgment more valuable. - Jen Dunnam emphasizes designing for people rather than chasing tools, noting that human needs remain constant. - Ian Silber of OpenAI recommends trusting capable teams and accepting that leaders cannot oversee every detail. - Jeetu Patel of Cisco describes meticulous design as a way to demonstrate care and create an emotional connection with customers. The practical recommendation is to adopt AI with experimentation and openness while preserving the human practices that sustain quality: collaboration, critical thinking, empathy, strong standards, and continual cultivation of taste.
