Professional designers work from client briefs that specify goals and constraints but often lack concrete design details. Translating these abstract requirements into visual designs poses a central challenge, yet existing tools address specific aspects or induce fixation through complete outputs. Through interviews with six professional designers, we identified how designers address this challenge: first structuring ambiguous requirements, then exploring individual elements, and finally recombining alternatives. We developed Brief2Design, supporting this workflow through requirement extraction and recommendation, element-level exploration for objects, backgrounds, text, typography, and composition, and flexible recombination of selected elements. A within-subjects study with twelve designers compared Brief2Design against a conversational baseline. The structured approach increased prompt diversity and received high ratings for requirement extraction and recommendation, but required longer generation time and achieved comparable image diversity. These findings reveal that structured workflows benefit requirement clarification at the cost of efficiency, informing design trade-offs for AI-assisted graphic design tools.

翻译：专业设计师依据客户简报开展工作，这些简报明确了设计目标与约束条件，但往往缺乏具体的设计细节。将抽象的客户需求转化为可视化设计是一项核心挑战，然而现有工具要么仅解决特定环节，要么因生成完整方案而限制设计师的创意发散。通过对六位专业设计师的访谈，我们归纳出设计师应对这一挑战的典型流程：先梳理模糊需求，再探索单个设计要素，最后将替代方案进行重组。为此，我们开发了Brief2Design系统。该系统通过需求提取与推荐、对象/背景/文字/排版/构图等要素级探索，以及对选定要素的灵活重组来支持上述工作流程。一项包含十二位设计师的组内实验将Brief2Design与对话式基线系统进行了对比。结果表明，这种结构化方法能提升提示词多样性，在需求提取与推荐方面获得较高评分，但同时也需要更长的生成时间，且图像多样性表现相当。这些发现揭示了结构化工作流有利于明确需求但需以效率为代价，为AI辅助图形设计工具的设计权衡提供了依据。