Making sense of AI as a new designer | Figma for Edu Early Career Week

Quick Overview

Product designers working on AI experiences at Figma, Duolingo, Notion, and Ramp discussed principles like maintaining user control and trust, and shared that AI accelerates workflows by acting as a thought partner, while emphasizing that human craft and taste remain crucial for refining AI-generated outputs.

Key Points: Panelists include Tammy (Figma AI experiences), Robert (Duolingo), Pavan (Ramp Policy Agent), and Jen (Notion AI search/connectors), all currently designing AI-driven product features. Robert's design principles for Duolingo's AI feature, 'Video Call,' center on leveraging AI's ability to improv, always giving users the ability to take back control, and making experiences immersive without replacing the human. Jen prioritizes principles like ensuring the AI feels like a 'partner not a black box,' giving users visibility into why AI acted, and grounding AI in real user goals by focusing on trust and predictable behavior over novelty. Workflow acceleration is a key benefit, with panelists using AI as a thought partner to expand ideas, find edge cases, and move quickly from idea to prototyping, as Tammy noted, allowing for deeper communication. Pavan uses AI tools like Claude to debate opinionated takes by simulating debates with other principal product designers, strengthening his position before design reviews. Panelists agree that human craft and taste are essential to elevate AI output, which often only gets work '60% of the way there,' making the curation of context and steering of prompts the designer's unique contribution. Advice for early career designers includes getting comfortable being a generalist, understanding foundational knowledge across disciplines, and continuously training the muscle of interacting with AI through extensive tinkering and experimentation.

Context: This session, part of Figma's Early Career Week, featured a panel moderated by Rodrigo Davies from Figma's AI experiences team, bringing together product designers working on cutting-edge AI features at major tech companies to advise emerging designers on navigating the integration of AI into design practice. The panelists introduced themselves, sharing their educational backgrounds (ranging from Neuroscience/CS to graphic design/no formal college degree) and current roles, such as designing Duolingo's AI-powered 'Video Call' feature or Notion's AI search capabilities.