Introduction / 介绍
Performance management is evolving from an annual ritual to a continuous, data-informed dialogue. This advanced 3-hour training from System in Motion and Shi Bisset equips HR leaders and people managers in established companies to harness AI for goal calibration, feedback synthesis, and review processes. Learn to integrate AI tools that transform subjective evaluations into objective, growth-oriented conversations, fostering a true culture of continuous feedback and development.
绩效管理正从一年一度的考核，演变为持续开展、以数据为支撑的沟通与反馈机制。本次由 System in Motion 与 Shi Bisset 联合推出的 3 小时进阶课程，将帮助成熟企业的人力资源负责人及管理者掌握 AI 在目标校准、反馈整合及绩效评估中的应用方法。学员将学习如何借助 AI 工具，将主观评价转化为客观、以成长为导向的绩效对话，从而建立持续反馈与持续发展的高绩效文化。
Key Takeaways / 核心收获
- Drive Strategic Alignment: Use AI to seamlessly cascade and calibrate organizational OKRs across teams.
- 推动战略一致性：利用 AI 高效拆解、传递并校准组织 OKR，确保团队目标保持一致。
- Enhance Feedback Quality: Move from vague anecdotes to specific, behavior-based insights powered by AI analysis.
- 提升反馈质量：借助 AI 分析，将模糊、主观的评价转化为具体、基于行为的反馈建议。
- Save Managerial Time: Automate the administrative burden of compiling performance data and drafting review summaries.
- 节省管理时间：利用 AI 自动整理绩效数据并生成评估总结，大幅减少行政工作量。
- Increase Employee Engagement: Create personalized, clear, and actionable performance conversations that motivate and develop talent.
- 提升员工参与度：打造个性化、清晰且可执行的绩效沟通，激发员工积极性并促进人才成长。
Agenda / 议程
1. AI for Goal & OKR Calibration / AI 助力目标与 OKR 校准
- Implement AI frameworks to analyze and ensure goal alignment from organizational objectives down to individual contributors. / 运用 AI 框架分析并确保企业战略目标、团队目标及个人目标之间保持一致 。
- Simulate goal outcomes and identify potential misalignments or resource conflicts before they happen. / 借助 AI 模拟目标达成情况，提前识别目标偏差及资源冲突。
2. AI for Feedback Analysis & Summarization / AI 助力反馈分析与总结
- Synthesize 360-degree feedback, project notes, and peer recognition into coherent, constructive performance summaries. / 利用 AI 整合 360° 反馈、项目记录及同事评价，快速生成结构清晰、具有建设性的绩效总结。
- Identify key themes and development opportunities from large volumes of qualitative data. / 从大量非结构化反馈中提炼关键主题，识别员工优势与发展机会。
3. AI-Assisted Performance Review Creation / AI 辅助绩效评估撰写
- Generate draft performance review templates tailored to specific roles and seniority levels. / 根据岗位职责及职级自动生成绩效评估初稿，提高效率与一致性。
- Develop consistent, fair, and legally-sound language for evaluating performance against competencies. / 借助 AI 形成统一、公平且符合法律规范的绩效评价语言，确保评估标准一致。
Who Should Attend? / 适合人群
- HR Business Partners and People Operations professionals designing performance systems. / 负责绩效管理体系设计的人力资源业务伙伴(HRBP)及 People Operations 专业人士。
- Line Managers and Department Heads responsible for leading team performance. / 负责团队绩效管理的一线经理及部门负责人。
- Professionals who have completed AI Fundamentals or possess equivalent prompting skills. / 已完成 AI Fundamentals 培训或具备同等 AI Prompt 使用能力的专业人士。
Trainer / 培训讲师
Chen Shijun
Senior Consultant
System in Motion
Technology expert who began coding at 10, founded Shanghai-based technology consulting firm System in Motion after graduating from CentraleSupelec. An influential figure in Shanghai's entrepreneurial community, he mentors at Orbit Ventures, advises startups, launched the EO Accelerator program, and co-founded La French Tech Shanghai. Currently focused on Generative AI, his expertise and eloquent keynotes make him a sought-after speaker and mentor.
• 拥有12年跨行业数字化转型经验，我在生物医药、时尚和食品供应链领域成功领导了系统开发和升级。
• 擅长数据分析、训练决策模型以及使用生成式人工智能。
• 曾领导人工智能研究和实施，将技术转化为企业创新的实际商业解决方案。
Training Details / 培训详情
Price / 价格：
1,350 RMB*
*Price including 6.72% Tax
*价格已包含6.72%的税费
To register scan the QR Code or Click Here
报名请扫描二维码或 点击此处
