在此情境下，共情指的是顾客认为公司及其代表真诚地试图理解并回应其情绪状态，尤其是在顾客脆弱 的时刻。对于保险客户而言，这可能意味着保险代表不仅处理理赔事宜，还认可客户正在经历的困难， 或者公司事后跟进了解情况。这是一种从客户视角看待问题，并将这种认知转化为关怀和积极回应的能 力。 曾几何时，共情被认为过于温情柔弱，不适用于职场环境。但数十年的研究已打破这一误解。共情包含 三个要素：分享他人经历、尝试理解他人眼中的世界，以及关心他人的福祉。当人们表达共情时，会建 立起更深层次、更具滋养性的关系；当他们感受到共情时，其信任度、士气和幸福感也会随之提升。 职场亦是如此。富有共情力的领导者能够打造出员工敬业度更高、忠诚度更强的团队，在这样的团队 中，员工不仅感觉更良好（体验到更多的快乐、更强的韧性和更高的幸福感），而且工作表现也更出色 （协作更高效、创新能力更强、工作产出更高）。如今，任何一家希望以数据驱动企业文化的公司，都 应确保领导者能够给予共情，员工也能感受到共情。 但企业的顾客又如何呢？在苏黎世保险集团赞助的一项全新全球调查中，我们对11个国家近1.2万人进 行了民意调查，结果发现，大多数顾客希望从与之打交道 ...

Core Insights - The core competitiveness of AI products is shifting from technology itself to interaction design and user experience [1][4] - AI entrepreneurs must prioritize interaction design from day one, as products are not just technical solutions but also carriers of experience [1][4] - Figma aims to become a "front-end collaborative development operating system" in the AI era, beyond just being a design tool [1][4] Interaction Design in AI - Dylan Field emphasizes that the current stage of AI interaction can be likened to the "MS-DOS era," where future generations may look back and find it surprising that AI was operated through simple chat interfaces [4][9] - The interaction forms of AI will become more contextualized, embedded in various software and applications, creating a new layer of experience [4][10] - The boundaries between product, design, and development are gradually disappearing, with a growing importance of versatile roles in the AI landscape [4][16] Figma's Product Philosophy - Figma follows a "subtraction" product philosophy, where frequently used behaviors are extracted to create independent products, maintaining the core focus of Figma Design [11][12] - New products like Figma Draw and Figma Make are developed to enhance user experience and facilitate faster innovation cycles [15][12] The Future of Design and Development - The integration of design and development processes is accelerating, with AI tools enhancing rapid prototyping and low-cost experimentation [17][16] - Designers are expected to play a more significant role in shaping AI tools, as their user-centered thinking is crucial for effective research and development [18][19] - The role of designers is anticipated to evolve, with an increase in designer founders and leaders within companies, reflecting the growing value of design in the tech industry [20][21]

神译局是36氪旗下编译团队，关注科技、商业、职场、生活等领域，重点介绍国外的新技 术、新观点、新风向。 编者按：痴迷于用AI提效，可能正以惊人的速度，解决着错误的问题。文章来自编译。 大家的共同执念显而易见：学会用人工智能更快地执行，你就能保持竞争力。每天我都能在领英上看到 关于"提示工程"的新帖子，又一门关于"AI生产力技巧"的课程，又一个让ChatGPT写出更好的代码、创 建更棒的演示文稿或自动化工作流程的框架。 但有个没人谈论的事实是：人工智能只会让糟糕的决策变得更快，而不是让决策变得更好。而且，当下 最危险的处境并非在人工智能工具上落后，而是以超凡的效率去解决错误的问题。 在一个由人工智能驱动的世界里，真正的竞争优势并非执行速度，而是从一开始就知道哪些问题值得解 决。这也正是让"设计思维"成为你秘密武器的用武之地。 对执行力的痴迷正在将我们引入歧途 大多数人认为，人工智能的成功等于更好的提示词加上更快的执行速度。 我曾亲眼目睹我所在组织的团队沉醉于人工智能带来的生产力提升。他们能在几小时内完成过去需要数 天才能完成的分析，以闪电般的速度制作演示文稿，自动化那些他们一直想简化的流程。 可是，他们却比以往 ...

Core Viewpoint - The establishment of the National Design Studio (NDS) aims to reform U.S. government digital services, enhancing user experience and modernizing interfaces under the leadership of Joe Gebbia, the first Chief Design Officer (CDO) [2][4]. Group 1: National Design Studio Objectives - The NDS will not only focus on website optimization but also upgrade critical service processes such as tax systems, student loan applications, and passport renewals, potentially extending to physical public service spaces [3]. - The initiative is set to complete initial design reforms by July 4, 2026, coinciding with the 250th anniversary of the United States [2]. Group 2: Joe Gebbia's Vision and Background - Joe Gebbia, co-founder of Airbnb, aims to create a user experience akin to that of an Apple Store, emphasizing the need for government services to be visually appealing and user-friendly [2][4]. - Gebbia's previous experience includes roles at Airbnb and Tesla, and he has a strong design background from the Rhode Island School of Design [4]. Group 3: Design as a National Strategy - The appointment of a CDO signifies a shift towards integrating design thinking into national governance, potentially redefining public service aesthetics and user experience [4][5]. - This reform could lead to a new governance norm where the CDO role becomes standard in government structures, enhancing user experience at a strategic level [5]. Group 4: Broader Implications of Design Reform - The design-driven approach may extend beyond federal websites to impact education, healthcare, and local government services, fostering a comprehensive "experience revolution" [8]. - Successful implementation could position design as a fundamental aspect of social infrastructure, driving public service evolution [8].

Core Insights - AI tools are accelerating the software development process while exposing significant capability gaps among different teams, leading to output differences of up to tenfold or more [1] - The concept of "AI-native development" requires a complete redesign of the development system, integrating AI at every stage from prototyping to deployment [1] - The conversation with Cedric Ith, founder of Perceptron AI, highlights the need for developers to collaborate effectively with AI, focusing on what successful teams do right [1][2] Group 1: Key Experiences from Cedric - Taste is the new competitive advantage, shifting focus from technical skills to design thinking and product intuition in an era where AI can generate code rapidly [3] - The ability to ask precise questions and create delightful user experiences is becoming the new barrier to entry in software development [3] - AI is redefining the design process, allowing designers to explore numerous concepts quickly and generate user-centric solutions [3] Group 2: New Design Paradigms - Natural language is emerging as a primary design interface, shifting the designer's role from creating visuals to articulating product structure through language [4][5] - Designers are developing a "design vocabulary" to communicate effectively with AI, enabling rapid prototyping that previously took engineers days to complete [5][6] - The ability to break down complex requests into clear, executable language is becoming essential for effective collaboration with AI [6] Group 3: The Rise of Design Engineers - The traditional boundary between design and engineering is dissolving, with designers now able to contribute directly to code and manage the entire tech stack [7][8] - This shift enhances efficiency and redefines product manufacturing, as designers gain control over the entire delivery process [8][9] - The iterative speed of design and development has significantly increased, compressing the time between design reviews and implementation from days to hours [10] Group 4: AI-Native Design Principles - Key principles for AI product design include reducing cognitive load, accepting non-determinism, and ensuring transparency in AI reasoning processes [11][12][13] - The design focus is shifting from user execution to user orchestration, requiring designs that facilitate coordination among multiple intelligent agents [14] - Teams adopting these principles early will create more intuitive and trustworthy AI experiences [14] Group 5: Organizational Adaptation in the AI Era - Organizations must transition from building perfect products to creating rapid learning organizations to keep pace with the fast-evolving AI landscape [15][16] - Cedric emphasizes the importance of quickly producing high-fidelity prototypes to gain internal buy-in, making design a catalyst for organizational change [16] - The entire product development cycle is being compressed, leading to unprecedented innovation density [16] Group 6: Cedric's AI Design Stack - The design stack includes tools like Figma for visual design, v0 for dynamic behavior definition, and Cursor for code-level adjustments, facilitating seamless transitions between design and engineering [17] - Component libraries like Shadcn and Tailwind provide standard semantics for AI, reducing risks associated with hallucinations in code generation [17]