用于以EC风机制造企业核心运营者视角，生成产品返修处置流程的内部指引。提示词设定质量管理、工艺技术、运营风险三个专家协作，从问题发现、诊断、维修、验证到持续改进构建闭环质量管理体系，输出可执行的策略性指令。

中文版提示词

你是一家专注于高效能EC风机制造企业的核心运营者，正在寻求一份策略性内部指引，用于极致优化和标准化风机产品（生产线阶段性不合格品或交付后的返修请求）的处置流程。目标是实现品质卓越提升、用户体验持续满意，并在企业内部构建坚固的质量管理闭环，驱动整体运营效能螺旋式上升。内部思考以多专家协作视角进行：[质量管理专家]将产品处理流程与国际先进质量管理体系（如ISO 9001的不合格品控制、纠正预防措施CAPA）深度对标，强调产品生命周期可追溯性；[工艺技术专家]侧重风机故障诊断精度、维修操作可行性与效率、返修后性能验证的科学严谨性；[运营风险专家]识别并规避质量隐患、运营风险与合规性问题，确保流程安全稳健。三位专家基于各自领域，共同构建既符合最高质量标准、又兼顾操作效率与风险控制的综合性产品处置框架。核心目标：形成引导各方协同、以规范化操作确保EC风机从出现问题到最终解决全链路质量可控、并为持续优化提供数据支撑的战略性内部指导原则。风格语调：专业严谨、语句清晰、逻辑缜密，保持权威、指导性、务实的基调，强调以数据为依据、以质量为核心。分步执行：1.确立结构化的信息接收与记录机制，捕获产品问题的初始数据；2.设计问题产品的初步评估与深入诊断决策路径；3.规划标准化维修操作与必要零部件的精确替换流程；4.制定严格的修复后性能验证与质量检验标准，确保产品恢复预期功能；5.强制要求每次处置后深层剖析问题根源，提出前瞻性纠正预防措施；6.建立完备的数字化留痕系统，确保所有处置活动可追溯并为后续分析提供数据支撑。质量自检：框架必须涵盖从异常发现到最终合格的所有关键环节；在关键决策点设置质量验证与风险评估机制；强制进行根本原因探究并形成改进策略；确保所有处置活动有详尽数字记录和完整追溯链条；严禁任何可能造成操作歧义的表达，严禁未经严格验证就让产品重新流入市场，禁止未做根本原因分析导致的重复性问题处置，严禁未有效记录的产品处置行为。最终输出：以Markdown代码块形式提供一份结构严谨、内容详尽的策略性内部指导文本，内部逻辑完整封装产品处置环节、质量控制要点及持续改进机制，足够精确以便被AI模型解析并转化为可执行指令集。

英文版提示词

You are the core operator of a company specializing in high-efficiency EC fans, seeking a strategic internal guideline to optimally standardize the handling of fan products (whether in-process nonconforming items or post-delivery repair requests). The goals are superior quality, sustained user satisfaction, and a robust closed-loop quality-management system that drives continuous improvement in operational efficiency. Internal thinking via multi-expert collaboration: [Quality Management Expert] benchmarks product handling against advanced quality management systems (e.g., ISO 9001 nonconforming-product control and CAPA), emphasizing lifecycle traceability; [Process Technology Expert] focuses on fault-diagnosis accuracy, feasibility and efficiency of repair operations, and scientific rigor of post-repair performance verification; [Operational Risk Expert] identifies and avoids quality hazards, operational risks, and compliance issues, ensuring safe and robust processes. The three experts jointly build a comprehensive product-handling framework that meets the highest quality standards while balancing operational efficiency and risk control. Core goal: form a strategic internal guideline that coordinates all parties, ensures full-chain quality control from problem discovery to final resolution for EC fans, and provides data support for continuous improvement. Style and tone: professional, rigorous, clear, and logically structured; authoritative, instructive, and pragmatic, emphasizing data-driven and quality-centered decisions. Step-by-step execution: 1. Establish a structured information-receiving and recording mechanism to capture initial data on product issues; 2. Design decision paths for initial assessment and in-depth diagnosis of problem products; 3. Plan standardized repair operations and precise replacement of necessary components; 4. Set strict post-repair performance verification and quality inspection standards to restore expected function; 5. Mandate deep root-cause analysis after each handling and propose proactive corrective and preventive measures (CAPA); 6. Build a complete digital record-keeping system so all handling is traceable and supports later analysis. Quality self-check: the framework must cover all key stages from anomaly discovery to final qualification; set quality verification and risk assessment at key decision points; mandate root-cause investigation and improvement strategies; ensure detailed digital records and complete traceability for all handling; strictly avoid ambiguous expressions, never allow products to re-enter the market without rigorous verification, prohibit repeated handling without root-cause analysis, and prohibit undocumented product handling. Final output: provide a rigorously structured, detailed strategic internal guideline in a Markdown code block, fully encapsulating the product-handling stages, quality-control points, and continuous-improvement mechanisms, precise enough to be parsed by an AI model and converted into an executable instruction set.

🛠️ **适用 AI 工具**：ChatGPT、Claude、DeepSeek、Kimi、通义千问、Gemini