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2025会议转任务还在耗时?听脑AI技术解答用什么工具高效
Sou Hu Cai Jing· 2025-12-30 12:28
作为专注职场效率工具的小编,我最近跟某互联网公司的技术团队深聊时发现,不少产品经理和研发负责人都在吐槽会议转任务的 "隐形耗时"—— 上周三 我旁听了他们的需求评审会,2 小时的会议里,涉及 12 个待办任务、8 个技术疑问点,但会后负责整理的产品助理花了 2 小时逐句听录音,手动标记任务, 还漏了 "前端需兼容 iOS16 以下版本" 的关键需求,导致研发返工,耽误了 1 天工期。这不是个例:产品技术人员常泡在需求讨论会、技术方案会、项目协 调会里,会议中的待办任务是推进项目的核心,但传统的 "录音 + 手动整理" 模式不仅耗时,还容易因人为疏忽遗漏关键信息,而市面上的工具又各有短 板,要么转写准确率不足,要么分析能力薄弱,要么依赖特定协同生态,这让不少团队陷入 "选工具比整理任务还累" 的困境。 要解决会议转任务的效率问题,得先拆解这个场景的核心需求:准确捕捉会议内容、智能识别待办任务、清晰关联负责人与时间节点、快速同步到团队协作 工具。我测试了目前主流的 5 款工具,发现大多只能满足其中 1-2 个需求,而听脑 AI 作为一款综合效率工具,几乎覆盖了所有核心痛点。先看传统工具的 局限:比如讯飞听见,转写 ...
我们用飞书开了个选题会,一下进入现代化办公,编辑部直呼:真香
机器之心· 2025-07-10 10:49
Core Viewpoint - The article discusses the recent launch of several AI-driven products by Feishu at the 2025 Future Unlimited Conference, highlighting their advancements in AI applications and tools designed to enhance productivity and efficiency in business environments [1][4]. Group 1: AI Applications - Feishu introduced the industry's first AI application maturity model, categorizing AI applications into four levels, with Feishu's Knowledge Q&A reaching the M3 standard, indicating it is mature and can be used on a large scale [7][9]. - The Knowledge Q&A tool can search through vast amounts of documents, exemplified by a case where a large enterprise created 9.4 million documents, allowing users to retrieve specific information quickly [9][10]. - The tool also features privacy protection, ensuring that encrypted data is only visible to the user [22]. Group 2: Meeting Solutions - The Feishu Meeting product has achieved the M4 standard, capable of generating intelligent meeting summaries and action items in real-time with high accuracy [23][24]. - The system can differentiate speakers during meetings, providing clear summaries and ensuring that action items are correctly attributed to the right individuals [26][32]. - A personalized report summarizing key discussion points and tasks from the past week is generated to help users track their work progress [35]. Group 3: Data Management Tools - Feishu's Multi-dimensional Table has been significantly upgraded, now supporting up to 10 million rows and offering millisecond-level calculation speeds, making it the first of its kind to handle such large data volumes [40]. - The new application mode allows users to build business systems through a drag-and-drop interface without needing coding skills, enhancing accessibility for various business applications [42]. - The Multi-dimensional Table has nearly 10 million monthly active users and is set to integrate with DingTalk and WeChat Work, breaking down ecosystem barriers [44]. Group 4: Development Tools - Feishu launched a development suite, including the first enterprise AI system building tool, Feishu Miaotai, which facilitates rapid product development using AI [45]. - The Feishu aPaaS has undergone multiple AI upgrades, supporting the development of business systems with AI integration [45]. - The introduction of AI capabilities into every workflow node allows for automated data entry and analysis, enhancing operational efficiency [46].