很多企业，每年都在花大价钱做培训。 课堂上，大家听得热血沸腾，信誓旦旦。可培训一结束，立马回到熟悉的流程、惯性的动作，课堂上学 到的东西忘得一干二净。 为什么你的培训总是"一学就会，一用就废"？今天，我们就来聊聊这个话题。 为什么你的培训总是没有用？ 很多培训看似轰轰烈烈，但结束那一刻就注定没下文。 因为，如果培训只是一次"活动"，没有与真实业务和落地机制结合，它必然会无效。 这就是典型的没有抓住培训的精髓。 展开来讲，培训没有用，主要有以下3个原因。 1.因为你没去用：缺乏实践场景 大多数培训的问题就在于——培训结束就是终点。 学员回到岗位后，依旧面对繁重的业务指标和原有的工作惯性，所谓的新方法没有任何强制性的应用要 求，自然又回到老办法。 举个例子：销售团队刚学完《高效客户沟通技巧》，第二天照样忙着打电话、做表格、跑客户，新方法 完全不用。 因为没有人要求他必须把新技巧用在客户拜访中，他就不会主动尝试，甚至潜意识里觉得照旧就行。 久而久之，培训内容被遗忘，效果归零。 2.缺乏反馈与辅导：学员在黑暗中摸索 即便有些学员愿意尝试新方法，但一旦遇到阻力，往往会迅速放弃。 比如，一个客服刚学了新的投诉处理技巧，尝 ...

Group 1 - The understanding, expectations, and requirements for training vary at different stages of a company's development, necessitating a tailored approach based on the company's actual situation [1] - In the initial stage, companies rely on mentorship for knowledge and skill transfer, while as they grow, they need to implement structured training to replicate skills and experiences held by key employees [3][9] - The transition from mentorship to a training phase requires the development of a course system and the organization of training, which can be facilitated by an enterprise training management system [3][6] Group 2 - The enterprise training management system offers several advantages, including time savings in course development through AI-generated content, allowing training departments to quickly create quality training materials [6] - Automation of training processes reduces the need for human resources in organizing and coordinating training, as the system can integrate with various communication platforms for efficient task management [6][7] - The system supports diverse training formats, such as online courses, in-person sessions, and AI-assisted training, enhancing employee engagement and skill development [7]

Core Insights - The traditional corporate training faces a supply-demand mismatch, and the application of generative AI is transforming organizational learning from experience-based to intelligence-empowered methods [1] - AI enables personalized learning experiences, moving away from a one-size-fits-all approach to tailored learning paths, reshaping knowledge transfer and value creation in enterprises [1][3] Group 1: AI in Learning - AI customizes learning content and paths based on learners' backgrounds, interests, and habits, replacing traditional linear learning models with a dynamic adjustment mechanism [3] - This personalized learning experience enhances efficiency and outcomes, allowing learners to engage at their own pace and style [3] - AI's ability to update learning content in real-time based on the latest developments ensures learners access cutting-edge knowledge [3] Group 2: Intelligent Coaching and Support - Learners seek personalized, companion-like guidance to solve real business challenges, a need that has been difficult to meet in corporate training [5] - AI technology is gradually fulfilling this need through intelligent coaching, providing tailored learning plans and promoting self-directed learning [5] - The AI+ learning product system developed by Zhixueyun exemplifies this intelligent training approach, pushing corporate training towards more personalized, practical, and intelligent directions [5] Group 3: Innovative Learning Ecosystem - AI-assisted learning integrates teaching, practice, and assessment, creating a new ecosystem for smoother and more efficient learning [6] - AI coaching focuses on precise learning through practical exercises, significantly improving learning efficiency [6] - AI practice sessions utilize voice interaction to simulate real dialogue scenarios, effectively enhancing employees' soft skills and communication abilities [6]