• Data-Driven
    如何说服管理者考虑数据驱动的决策? 变化。 有时人们害怕它。 有时人们认为,如果要求他们改变,就是一种人身攻击。 我们也知道,我们真的无法说服别人改变,除非他们愿意。 从改变一个坏习惯到改变思维方式,都是如此。 改变是个人的选择。企业可以强制推行数据驱动的决策,员工可能会不情愿地使用该工具,同时抵制对该工具全部潜力的探索。 这就导致了部分解决方案,但不是最优方案。 经理人需要信任你的产品。 如何让管理者放心呢? 首先,要让他们放心,他们不是靠自己的力量。 你的办公室不仅提供数据,使用分析工具,而且你还帮助解释它们。 你的工作是和经理们一起工作,而不是把数据扔给他们然后离开。 接下来,建立信任。 这可能需要一些前端的工作。 需要对数据有信任,对你的办公室有信任。 一些基本的建议。 不要承诺不能兑现的东西。 Don't promise what can't be delivered. 如果经理要求提供不能根据事实得出的数据,解释原因。 不要只是告诉他或她 "不"。 反之,要用经理能接受的词语来解释。 如果你不能提供经理要求的东西,提供一个替代方案。 需要把经理的要求考虑进去--你知道那句话。 "把苹果和苹果比,而不是把苹果和橘子比"。 一开始要保持简单。 不要用过多的数据来压倒经理。 经理最终会因为沮丧而把它扔到一边。 你必须认识到,如果他们的眼睛发亮,他们已经把你拒之门外。 强调数据是补充性的,但不能代替经理的决策责任。 不管你信不信,有些经理人担心一些数据分析会让他们变得无关紧要。这是一个数据驱动的决策,而不是数据制造的决策。 一旦经理人比较舒服,你还可以提供以下几点。 数据是可定制的。 鼓励经理讨论他们的具体标准。 数据是时间的快照,未来的决策应该由新的数据来辅助。 你不能根据6个月前的数据来做人事决策。 找出可能需要数据的频率。 根据决策提供使用数据的省时建议,如发放奖金、决定谁接受培训、晋升或调职等。 最后一点:经理们会希望你是专家,他们可能希望你能记住以前谈话的具体内容。 建立信任的一个方法是了解经理之间的不同偏好,无论是在笔记文件、保存的屏幕截图等。 快速回忆对话,表明你支持该经理的具体问题,将有助于建立信任。 这并不意味着一个顺从的工作环境,而是意味着找到用数据来改变现状的方法,帮助经理们信任数据驱动的决策。 作者:Lori Wagner 原文标题 How to Convince Managers to Consider Data-Driven Decisions
    Data-Driven
    2021年01月20日
  • Data-Driven
    为什么2019年人才获取从数据驱动转向智能驱动 从历史上看,人力资源行业充满了时间密集型任务,确定最佳候选人并协调他们的面试和筛选过程。一项研究发现2017年的租用时间平均为  23.8天,自2010年以来增加了13天,因为市场越来越拥挤。 人工智能驱动的技术开辟了几乎无限的可能性,2019年将成为数千个行业创新和高度采用的一年。人力资源,招聘和人才获取也不例外,随着人工智能(AI)的普及变得无处不在,人们将大大受益。 来年将会看到大量的人力资源团队严重依赖人工智能和机器学习(ML)来处理人才获取方面的大部分幕后工作。由于这种转变,招聘人员将有能力和时间与更高层次的顶级候选人建立牢固的关系,而不是在一天的大部分时间里研究和挖掘大量的简历和简介。 本文作者Steven Jiang  CEO and Co-Founder of Hiretual AI和机器学习支持的人才招聘 我相信,我们将在2019年见证的最激动人心的转变之一就是人工智能领导着从数据驱动到智能驱动的招聘变革。事实上, 在一项调查中,42%的高管认为人工智能在未来两年内至关重要。 由于AI和ML和他们难以置信的收集和整理直观的信息,缩短了时间,洞察能力的强大力量,人力资源专家将花费更少的时间筛选,通过数据和更多的时间采取行动就可以了。 目前,这需要通过在现有系统中采用和部署AI引擎,从公司现有的人才获取(TA)系统和技术堆栈进行根本性的变更和升级。随着人工智能的加强,人力资源工作变得更加积极主动,整个工作流程和流程将得到重塑。随着TA团队的重新培训和流程的重新定义,新的一年将为基础设施,软件和运营带来升级。 人工智能技术还将发展招聘人员和候选人与采购流程的关系。组织将采用相同的AI技术来处理主动求职者和被动求职者管道。由于2019年预计会有很高的采用率,我还预计公司会聘请更多的技术架构师来帮助设计和构建可扩展的HR堆栈。人工智能将占据中心舞台,人们将在明年更加了解它,他们将被迫做,以确保他们找到并取得持续的成功。 提高候选人参与度   在接下来的12个月里,更多的人力资源和招聘团队将挥手告别许多繁琐的任务,这些任务历史上占据了宝贵的一天,占用了大量的时间。取而代之的是加速人才获取过程的工具和平台。这将是广泛采用增强采购,写作和参与技术的一年。 随着采购和寻找主动和被动候选人变得更有效率,我们将看到注意力从采购转移到流程的下一阶段,鼓励潜在员工与招聘人员交谈,也称为“提高候选人参与度”。  人工智能简化招聘流程的能力 - 特别是采购和过滤候选人的初始阶段 - 将使人力资源团队能够花时间处理更有价值的任务,例如了解简历或在线档案背后的人。 改善候选人的体验 由于前所未有的技术见解和能力,招聘方法已经非常直观,并将继续变得更加直观。随着越来越多的流程开始自我照顾,候选人的体验将提升到一个新的水平。候选人在申请和表达对职位的兴趣时,会有更好,更全面的经验。等待招聘人员亲自联系每位候选人并提供必要信息以便简单地继续申请流程的下一步的日子(和周)已经一去不复返了。 通过先进的配对和采购技术,候选人将获得更多相关和细致入微的工作建议和机会,而招聘人员将从与手头工作的最佳候选人匹配中受益。一旦候选人找到他们感兴趣的工作,技术也将在该流程的下一阶段发挥作用。 人工智能的聊天机器人和调度机器人将使候选人能够提出问题并实时回答。Chatbots将继续整合到公司的网站中,让人力资源团队成员能够处理更紧迫和复杂的请求,并有时间在招聘过程中发挥更加深思熟虑的作用。Chatbots可以完整地引导申请人完成申请流程,引导候选人从一个页面到另一个页面,以确保准确性和完整性。我们还将看到AI匹配技术蓬勃发展。 新的一年将带来改进的实践,无与伦比的候选人和招聘人员经验以及人力资源行业十年来所采用的最高技术水平。求职者和招聘人员都会感受到AI和ML的影响。候选人的经验将继续现代化,允许公司像对待客户一样对待他们的申请人,同时让招聘人员有更多的时间和精力投入到招聘的人性方面:与有才能的候选人交往。那些在2019年接受人工智能的公司将把他们的人才招聘团队提升到一个新的水平。 以上由AI翻译完成,仅供参考。 经授权发布。 Why 2019 Will Be The Year Talent Acquisition Moves From Data-Driven To Intelligence-Driven   Historically, the human resources industry has been fraught with time-intensive tasks, identifying the top candidates and coordinating their interview and screening processes. One study found that the time to hire in 2017 was, on average, 23.8 days, an increase of 13 days since 2010 as the marketplace has grown ever more crowded. Artificial intelligence-powered technology opens up nearly limitless possibilities, and 2019 is poised to be a year of innovation and high adoption across thousands of industries. HR, recruiting and talent acquisition are no exception and will benefit greatly as the adoption of artificial intelligence (AI) becomes more ubiquitous. The coming year will see vast amounts of HR teams relying heavily on AI and machine learning (ML) to take care of much of the behind-the-scenes work that goes into talent acquisition. Thanks to this shift, recruiters will have the ability and time to engage with and build strong relationships with their top candidates on a deeper level — instead of studying and digging through a huge quantity of resumes and profiles for a significant part of the day. Talent Acquisition Powered By AI And Machine Learning I believe one of the most exciting shifts we will witness in 2019 is AI leading the change in recruiting from data-driven to intelligence-driven. In fact, 42% of executives in one survey believe AI will be of critical importance within the next two years. Thanks to the powerful forces of AI and ML and their incredible ability to gather and sort information intuitively and shorten the time to insights, HR specialists will spend less time sifting through data and more time acting on it. For the moment, this will require fundamental changes and upgrades from a company’s existing talent acquisition (TA) system and tech stacks by adopting and deploying an AI engine into their existing systems. The whole workflow and process will be reshaped as HR efforts become dramatically more proactive as they are enhanced by AI. The new year will bring upgrades to infrastructure, software and operations as TA teams are retrained and processes redefined.   AI technology will also evolve both the recruiter's and candidate's relationships with the sourcing process. Organizations will enlist the same AI technologies to handle both active-job-seeker and passive-job-seeker pipelines. Because of the high levels of adoption anticipated in 2019, I also foresee companies hiring significantly more technical architects to help design and build scalable HR stacks. AI will take center stage and people will become much more knowledgeable about it in the coming year, which they will be forced to do in order to ensure they find and achieve ongoing success. Heightened Candidate Engagement   In the next 12 months, more HR and recruiting teams will wave goodbye to many of the tedious tasks that have historically occupied a significant amount of their valuable day and eaten up too much of their time. In their place will be tools and platforms to accelerate the talent acquisition process. It will be a year of widespread adoption of augmented sourcing and writing and engagement technologies. As sourcing and finding proactive and passive candidates becomes more efficient, we will see a shift in attention from sourcing to the next phase of the process, encouraging potential employees to talk to recruiters, also known as "heightened candidate engagement." The ability of AI to streamline the hiring process — especially the beginning stages of sourcing and filtering candidates — will allow HR teams to spend time on more valuable tasks like getting to know the person behind the resume or online profile. Improving The Candidate Experience Thanks to unprecedented technological insights and abilities, recruiting methods are already highly intuitive and will continue to become even more so. As more and more processes start to take care of themselves, the candidate experience will rise to the next level. Candidates will have better, more comprehensive experiences as they apply for and express interest in positions. Gone are the days (and weeks) of waiting for recruiters to personally contact each candidate with the necessary information to simply move forward with the next step in the application process. Through advanced matching and sourcing technology, candidates will receive more relevant and nuanced job suggestions and opportunities, while recruiters will benefit from being matched with the best candidates for the job at hand. Once candidates find jobs in which they’re interested, technology will play a part in the next stages of the process as well. AI-powered chatbots and scheduling bots will enable candidates to ask questions and have them answered in real time. Chatbots will continue to be integrated into a company’s website, freeing HR team members to handle more pressing and complicated requests and have time to play an even more thoughtful role in the hiring process. Chatbots can lead applicants through the application process in its entirety, guiding the candidate from page to page to ensure accuracy and completeness. We will also see AI-matching technology flourish. The new year will bring improved practice, unparalleled candidate and recruiter experiences and some of the highest levels of technology adoption the HR industry has seen in a decade. The impact of AI and ML will be felt by job candidates and recruiters alike. The candidate experience will continue to modernize, allowing companies to treat their applicants like customers, while giving recruiters more time and energy to devote to the human side of recruiting: engaging with talented candidates. Companies that embrace AI in 2019 will take their talent acquisition team to the next level.
    Data-Driven
    2019年01月01日