How AI changed the way I approach design critiques

AI has revolutionized the role of designers by enabling rapid idea generation, allowing designers to focus more on evaluating and refining concepts rather than creating them from scratch. This shift has exposed a gap in traditional design critique practices, which were built for a time when generating ideas was costly and time-consuming. As AI tools like Figma Make and Cursor provide quick conceptual outputs, critiques are evolving from interface-focused discussions to deeper evaluations of how designers utilize AI, the context they provide, and the gaps AI might miss. The most valuable critiques now center around understanding the designer's process, assessing the decisions that shaped AI-generated concepts, and identifying assumptions that need validation. This new approach prioritizes building confidence in design decisions over seeking consensus on polished interfaces. Consequently, design critiques in the AI era aim to uncover the thinking and trade-offs behind the final design, ensuring that the integration of AI leads to better product decisions rather than merely generating more concepts.

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