2026 STAR China AI Readiness Survey II

【说明】本问卷为STAR China AI readiness survey的第二轮，旨在评估STAR学生AI相关技术能力提升，数据仅用于内部参考及分析，不影响个人绩效评估。

1. Full Name（中文姓名）

2. I Number（员工编号）

3. University（学校）

4. Rotation Team/Line of Business (轮组所属部门或业务线）

5. Job Role in Rotation Team(轮组中的岗位职责）

Section 1 — AI Adoption Capability

以下哪句话最能描述 AI 在你工作中的角色？ Which best describes the role AI plays in how you work?

我主动尝试新 AI 工具，重新设计了部分工作流程，让 AI 承担其中某些环节 / I proactively experiment with new AI tools and have redesigned parts of my workflow so AI handles certain steps我以结果为导向使用 AI，能量化 AI 为工作带来的具体价值（如节省时间、提升质量） / I use AI with an outcome focus and can quantify the value it brings (e.g. time saved, quality improved)我建立了以 AI 为核心的工作方式，对 AI 产出的结果负责，并推动团队也这样做 / I have built an AI-native way of working, take accountability for AI-assisted outputs, and actively drive the team to adopt the same approach

面对一个新的工作任务，你会怎么做？ When facing a new work task, what do you typically do?（多选）

我会主动思考哪些环节可以用 AI 辅助，并尝试新的方式完成任务 / I proactively think about which steps AI can assist with and experiment with new approaches即使第一次尝试效果不理想，我也会持续调整直到找到有效的 AI 使用方式 / Even if the first attempt doesn't work well, I keep adjusting until I find an effective way to use AI我会主动分享探索过程和经验，帮助团队少走弯路 / I proactively share my exploration process and learnings to help the team avoid trial and error

你的 AI 使用方式对团队产生了什么影响？ What impact has your AI usage had on your team?

向 1-2 位同事介绍过某个工具或方法 / Introduced a tool or method to 1–2 colleagues推动了某个 AI 工具或做法在团队内被采纳 / Drove adoption of an AI tool or practice within the team跨团队或跨部门推广了 AI 使用方式，产生了可见影响 / Promoted AI usage across teams or departments with visible impact

Section 2 — Context Engineering

以下哪句话最能描述你设计 prompt 的方式？ Which best describes how you design prompts?

我会加入背景、目标和格式要求，多轮迭代优化输出 / I include context, goals and format requirements, and iterate across multiple rounds我系统设计包含角色、约束的完整 prompt，并沉淀为可复用模板 / I design structured prompts with role and constraints, and document them as reusable templates我在 MCP 或 workflow 协议框架内设计 prompt，让 AI 直接对接工具或系统 / I design prompts within MCP or workflow protocols, enabling AI to directly interact with tools or systems

10.

你设计的 prompt 被他人使用了吗？ Have your prompts been used by others?

分享给了 1-2 位同事 / Shared with 1–2 colleagues在团队内被多人使用 / Used by multiple people on the team已成为团队或项目的标准做法 / Adopted as a team or project standard

11.

. 举例 Example

Section 3 — AI Output Quality Assurance

12.

你在审查 AI 输出时，通常会检查哪些方面？ Which aspects do you typically check when reviewing AI outputs? (Multiple choice)（多选）

事实准确性，没有错误或捏造 / Factual correctness — no errors or hallucinations内容完整性，没有遗漏关键信息 / Completeness — nothing important is missing是否符合公司或项目规范 / Standards alignment with company or project requirements是否存在偏见或不中立表达 / Bias or one-sided framing是否包含安全或合规风险 / Safety or compliance risks

13.

当 AI 输出不符合预期时，你通常怎么做？ When AI output doesn't meet your expectations, what do you typically do?

我能分析原因（如上下文不足、指令模糊），针对性调整 prompt / I can diagnose why (e.g. missing context, ambiguous instruction) and adjust accordingly我建立了覆盖多维度的个人审查 checklist，系统核查后再使用 / I have built a multi-dimensional review checklist and apply it before using any output我能预判 AI 在特定场景下的局限，提前规避，审查标准已被团队参考 / I can anticipate AI limitations upfront and my review standards have been adopted by the team

14.

你对 AI 输出的质量把控对工作产出产生了什么影响？ What impact has your quality checking had on work outputs?

避免了错误或不完整的内容进入最终交付物 / Prevented incorrect or incomplete content from reaching deliverables发现并纠正了会影响业务或客户的重要问题 / Caught significant issues that would have affected business or clients我的审查方式已被团队参考或采用 / My review approach has been referenced or adopted by the team

Section 4 — Agentic AI Day-to-Day Practice

15.

以下哪句话最能描述你使用 AI agent 的方式？ Which best describes how you use AI agents?

我梳理过自己的工作流，识别出可自动化的环节，并用 agent 执行多步骤任务 / I have mapped my workflow, identified automatable steps, and used agents to execute multi-step tasks我设计了包含条件判断或工具调用的 agent 工作流，替代了原本需要人工的完整流程 / I have designed agent workflows with conditional logic or tool calls, replacing full manual processes我构建并部署了面向团队或客户的 agent，并持续优化工作流设计 / I have built and deployed agents used by my team or customers, and continuously optimize the workflow

16.

你如何验证 agent 执行的结果是否正确？ How do you verify that agent-led outcomes are accurate?

我会在使用 agent 输出前进行人工核查，确认结果符合预期 / I manually review agent outputs before using them to confirm they meet expectations我建立了固定的审计流程，系统验证 agent 每个步骤的准确性 / I have established a structured audit process to systematically verify each step of agent executionC. 我能预判 agent 在特定场景下的局限，并在设计时加入验证机制规避风险 / I can anticipate agent limitations and build verification mechanisms into the workflow design upfront

17.

使用 agent 后，你或你的团队每周大约节省了多少时间？ How much time per week have you or your team saved through agent use?

少于4小时 / Less than 4 hour4–8小时 / 4–8 hours超过8小时 / More than 8 hours

Section 5 — AI-Assisted Prototyping

18.

以下哪句话最能描述你 AI 辅助开发的方式？ Which best describes how you develop with AI assistance?

我与 AI 多轮迭代优化代码，确保输出结构清晰、稳定可靠，符合系统规范 / I iterate with AI across multiple rounds to ensure outputs are structured, reliable, and aligned to system requirementsAI 生成的代码经过验证后可直接集成进企业系统或工作流，无需大幅修改 / AI-generated code can be integrated directly into enterprise systems or workflows after verification, with minimal rework我能引导 AI 生成面向跨团队协作的代码，支持他人直接部署或复用 / I can guide AI to generate code designed for cross-team collaboration, enabling others to deploy or reuse it directly

19.

你如何确保 AI 生成的代码结构可靠、可以交付使用？ How do you ensure AI-generated code is structured and reliable enough to deliver?

我会测试边界条件和异常场景，确认代码在实际环境中稳定运行 / I test edge cases and failure scenarios to confirm the code runs stably in real environments我建立了固定的代码验证流程，覆盖功能、规范和集成兼容性 / I have established a structured code review process covering functionality, standards, and integration compatibility我的验证标准已被团队参考，AI 生成的代码可直接进入团队交付流程 / My validation standards have been adopted by the team, enabling AI-generated code to enter the delivery pipeline directly

20.

你用 AI 辅助开发的代码或工具产生了什么影响？ What impact did your AI-assisted code or tools create?

被团队成员实际采纳使用 / Adopted and used by team members集成进企业系统或内部工具，支持跨团队协作 / Integrated into enterprise systems or internal tools, enabling cross-team collaboration面向客户交付或在多个团队间推广复用 / Delivered to customers or promoted for reuse across multiple teams

21.

举例 Example：请描述一个最能代表你 AI 辅助开发能力的项目，包括你如何与 AI 迭代、如何验证质量、最终产出和影响

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