人工智能正在改变人力资源工作方式
新技术和人工智能可用于提高绩效评估，开放招生和员工发展。
New technologies and artificial intelligence can be used to improve performance appraisals, open enrollment and employee development.
作者：Alexander Alonso，SHRM-SCP
像“终结者”电影中看到的那些机器的兴起可能会给我们灌输对人工智能（AI）和自动化的健康恐惧，但明智的人力资源专业人员会关注当今的发展如何能够产生积极的变化 - 即更高的效率在日常运营中和更好的员工体验。
现代技术（从简化流程的应用程序到改善通讯的机器人）正在改变我们的工作方式，这并不奇怪。然而，令人震惊的是，他们扩散到工作场所的速度很快。
以下是三个已被企业完全接受的AI示例，它们正在改变我们实践HR的方式：
众包和性能数据。为了更好地评估，商业思想领导者鼓励使用来自各种来源的及时数据。例如GloboForce这样一家员工识别软件供应商，声称众包信息比传统的评估方法能够以更定期的间隔提供更全面的性能图片。
乍一看，这可能看起来很直观。但是许多人力资源专业人士对这种软件在考虑到大量信息的性能数据流方面的准确性持怀疑态度。例如，会议结束后，Karma Notes向与会者询问个人作为团队成员的有效性。令人生畏的是，应用程序在每次会议后提出了这个问题。更重要的是，这个过程引发了人们提供反馈动机的问题。有些可能是由隐藏的议程驱动的。这项技术正在得到进一步完善，以收集与截止日期和预算有关的信息。近100家财富1000强公司正在试用这种众包的表演系统。这比以往任何时候都更加重视人力资源专业人员，以更好地理解数据管理和分析，
机器人和福利问题。如果你像大多数人力资源从业人员一样，只需要在开放的招生季节中生存下去，你很高兴。但那些幸运地通过人力资源信息系统（HRIS）来利用人工智能的人通常并没有那么糟糕。例如，今天的一些基于HRIS的聊天机器人可以自动回复员工的福利问题，并为您的员工量身定制解决方案。这意味着您花费更少的时间进行查询。虽然这些工具从来都不是完美的，但大多数使用的是一种AI，它使得信息交付非常可定制。要充分利用这一点，您必须建立真正动态的面向消费者的问答数据库，以反映您的员工和他们的偏好。
算法和学习偏好。近年来，我们看到了无数支持学习和发展活动的技术的兴起。其中最有趣的是使用AI来创建交互式测试和评估以匹配考生的个人学习风格和参与度的应用程序。与Lumosity的互动式大脑游戏类似，这些工具可在用户学习时产生无数的数据点，包括他们的步伐和学习风格。对于人力资源部门来说，这些创新突出了对员工发展的定制学习路径和数据驱动方法的需求。
很明显，人工智能在人力资源中的作用越来越大，这代表了您通过数据实现价值的机会。有些人会哭，“机器正在接管！”事实是，机器已经在这里。我们需要确定如何最好地使用它们。
SHRM-SCP的Alexander Alonso是SHRM知识发展高级副总裁。
以上由AI翻译完成，仅供你参考。HRTechChina倾情奉献，转载请注明HRTechChina
以下为英文原文：
The rise of machines like those seen in the “Terminator” movies may instill in us a healthy fear of artificial intelligence (AI) and automation, but wise HR professionals will focus on how today’s developments can give rise to positive changes—namely, greater efficiency in day-to-day operations and a better employee experience.
It’s no surprise that modern technologies—from process-streamlining apps to communication-improving bots—are altering the way we work. What is shocking, however, is the fast pace of their diffusion into the workplace.
Here are three examples of AI that have been fully accepted in businesses today and are changing the way we practice HR:
Crowdsourcing and performance data. For better appraisals, business thought leaders encourage the use of timely data from a wide array of sources. Companies such as GloboForce, an employee recognition software provider, claim that crowdsourced information provides more-holistic pictures of performance at more-regular intervals than traditional appraisal methods.
At first glance, that may seem intuitive. But many HR professionals are skeptical about the accuracy of such software with regard to performance data flow, which takes into account large volumes of information. For instance, after a meeting, Karma Notes asks fellow attendees about an individual’s effectiveness as a team player. What’s daunting is that the app poses this question after every meeting. What’s more, the process raises questions about people’s motivations for providing feedback. Some may be driven by a hidden agenda. The technology is being further refined to gather information related to deadlines and budgets, too. Almost 100 Fortune 1000 companies are piloting this type of crowdsourced performance system. More than ever, that puts the onus on HR professionals to better understand data management and analytics, and to account for relationship dynamics when interpreting such records.
Bots and benefits questions. If you’re like most HR practitioners, you’re happy just to survive open enrollment season. But those fortunate enough to leverage AI via their HR information systems (HRIS) usually don’t have it so bad. Some of today’s HRIS-based chatbots, for example, can automatically reply to employees’ benefits questions with answers tailored to your workforce. That means you spend less time fielding inquiries. While these tools are never perfect, most use a form of AI that makes information delivery extremely customizable. To take full advantage of that, you must build truly dynamic, consumer-oriented Q&A databases that reflect your workers and their preferences.
Algorithms and learning preferences. In recent years, we’ve seen the rise of countless technologies that support learning and development activities. Among the most interesting are apps that use AI to create interactive tests and assessments to match test takers’ personal learning styles and engagement levels. Similar to Lumosity’s interactive brain games, these tools generate countless data points about users as they learn, including their pace and learning style. For HR, such innovations highlight the need for customized learning paths and data-driven approaches to employee development.
It’s clear that AI’s increasing role in HR represents an opportunity for you to drive value through data. Some would cry, “The machines are taking over!” The truth is that the machines are already here. It’s up to us to define how best to use them.
Alexander Alonso, SHRM-SCP, is senior vice president for knowledge development at SHRM.
Josh Bersin：人力资源在未来工作中的重要作用，比你想的更重要！“我们现在在人力资源部门所做的比我在分析师20年中所看到的更重要。人力资源在新的工作世界中扮演着重要的角色，“Bersin说。
一个新的技术世界
Bersin在这些新的工作环境中讨论了技术的巨大影响，并解释说他在职业生涯的大部分时间都在技术行业工作。他给了观众一个简短的介绍时间表，说明大多数技术在职业生涯初期失败的原因，然后与Elon Musk最近将特斯拉汽车投入太空的例子并成功地做到了这一点。
然后他引用去年最受欢迎的圣诞礼物是Alexa机器人 - 突显了我们生活中不断变化的技术进步。
在与人力资源部门进行技术整合时，人们普遍感受到空气中的恐惧，但贝尔辛还有其他想法。他说：“我们听说过人工智能将如何接管我们的工作，并消除我们所做的大量工作。我们拥有的计算机和技术越多，创造的就业机会就越多。在美国，我们几乎低于4％的失业率; 很多工作已经创建 - 他们只是不同类型的工作。“
Bersin解释说，最近进行的研究研究了自2008年经济衰退以来创造的所有工作，发现其中98％是全新的工作。这些主要是替代性工作协议，可以在角色中提供更多的灵活性。
“员工不知所措。我认为生产力放缓的原因之一是因为我们被电子邮件，文本，社交媒体分心 - 这是一种认知过载。“
保留和生产力
关于创造就业的话题，Bersin表示，失业率目前处于历史最低水平，就业机会无处不在，首席执行官们也知道这一点。他说：“现在，企业的头号问题正在吸引和留住人才。”
他继续说道：“如果我们发现很难吸引和留住人才 - 为什么人力资源专业人员会让我们的生产力受到影响？”Bersin呼吁与会者更有效地使用技术，以便衡量参与度，这是任何人力资源部门最感兴趣的领域。有趣的是，Bersin分享了Glassdoor的一个事实，显示2008年（在经济衰退期间）平均参与分数是3.11，现在10年后，他们已经上升到3.2 - 这并没有太大差别，清楚地表明需要改变。
“员工不知所措。我认为生产力放缓的原因之一是因为我们被电子邮件，文本和社交媒体分心 - 这是一种认知负荷，“Bersin解释说。
然后，他开始讨论千禧一代面临的问题，以及最近的一项研究表明，三分之二的千禧一代认为自己的经济福利不会比他们的父母幸运。Bersin呼吁组织在更广泛的社会中发挥更加全面的公民角色。
Bersin表示需要开发三个人力资源领域：
技术和人工智能
人才的吸引力和保留
生产力和福利
工作的新未来
为了进入这个新的和非常多变的工作世界，Bersin建议领导们深入研究他们可以改善员工整体工作体验的五种方式：
一个新的组织结构
对于公司来说，一个巨大的问题是无法数字化运作，因为组织的结构扼杀了它。公司通常围绕不再适用的工业模式进行组织。数字公司需要拥抱并融入灵活的团队网络，这些团队是独立的，但是相互关联的团队，每个团队最多有五个团队。当人们在物理上位于同一地点时，人们倾向于团队，并且手续被拿走。身体接近创造了亲密关系和亲密关系，这将有助于提高参与度和生产力，并创造共享文化，共享领导力和潜在的新人才实践。
重塑管理
成为教练而不是老板，我们需要管理者赋予人们权力，建立团队，指导人员并收集反馈意见。因此，我们现在需要一个不同类型的领导者。如果我们认为历史上的反馈意见将在调查和评估中每年进行一次，那么我们现在（在德勤）就有一个持续的反馈过程。持续的绩效管理当然已经到来，这有助于指导，发展和识别糟糕的业绩。只有4％的高层管理人员意识到组织内部存在问题，但通过这种新技术浪潮，这些工具可以使员工提供实时反馈。
员工体验
当试图定义影响工作人员的问题时，员工的体验数据至关重要。文化是其中的重要组成部分 - 定义使命和价值观的企业随着时间的推移胜过同行8倍; 当人们融入组织的文化时，他们会对公司的评价更高。为人们提供更健康的工作体验并考虑他们的整体福利也很重要，这需要进入人力资源领域的绩效领域。例如，希望重新设计工作场所可以通过帮助包容性，公平性和业务的整体透明度产生积极影响。
职业革新
在不断变化的职业世界中，我们需要建立更好的职业模式，并考虑老龄化的劳动力队伍。我们如何找到更多高级人员的角色？技术和软技能之间的工作正在形成鲜明的对比。只需要1年的教育，人们就可以接受未来工作的再培训。这个选项可以让人们适应并获得更多技能，领导者应该抓住这个机会。
拥抱新技术
在二十一世纪初，我们经历了一次综合人才管理浪潮，之后我们出现了基于云计算且易于使用的产品（例如参与系统），但工作经验没有得到改善。我们可以聪明地工作，并使用新技术将团队带到一起; 例如，我们可以使用工具自动调查您定期发送电子邮件的人员的技能反馈，然后指导您使用这些技能 - 这些技能将由AI驱动。我们需要一个新的系统来帮助我们管理团队。作为一个人力资源团队，你应该与IT人员讨论这种基于团队的新工具，因为他们将成为未来的人力资源平台。“更多的CEO认为未来的工作是以人为中心的，吨。差不多三分之二的首席执行官认为成为数字业务的关键是拥有新技术，但事实并非如此 - 人是关键。作为首席生产力官，人力资源部门应该扮演一个新的角色，“Bersin总结道。
以上由AI翻译，HRTechChina倾情奉献。转载请注明。
英文原文：
Josh Bersin: HR's Essential Role In The New World Of Work
“What we’re doing in HR now is more important than what I’ve seen in my 20 years as an analyst. HR has an essential role in the new world of work,” Bersin said.
A new world of technology
Bersin discussed the enormous impact of technology within these new working climates, explaining that he’d been in the technology industry for most of his career. He gave the audience a brief
timeline, indicating how most technology failed to work at the beginning of his career, then juxtaposed that with the example of Elon Musk recently shooting a Tesla car into space – and doing so successfully. He then cited that the most popular Christmas present last year was the Alexa robot – highlighting the ever-changing technological advancements we are living among.
There is a feeling of widespread apprehension in the air when technology integration is addressed with HR, but Bersin has other ideas. He said: “We’ve heard about how artificial intelligence is going to take over our jobs and eliminate a lot of the work we do. The more computers and technology we have, the more jobs are created. In the US we’re almost below a 4% unemployment rate; lots of jobs have been created – they’re just different types of jobs.”
Bersin explained that there’s been recent research done that studied all jobs created since the 2008 recession, and found that 98% of them are entirely new jobs. These mainly being alternative work agreements, allowing for more flexibility within roles.
“Employees are overwhelmed. I think one of the reasons productivity is slowing down is because we are distracted by emails, texts, social media – it’s a cognitive overload.”
Retention and productivity
On the topic of job creation, Bersin stated that the unemployment rate now is at an all-time low, jobs are everywhere, and CEOs know this. He said: “Right now the number one issue in business is attracting and retaining talent.”
He continued: “If we are finding it difficult to attract and retain talent – why, as HR professionals, are we allowing productivity to suffer?” Bersin urged attendees to use technology much more effectively, allowing it to measure engagement, which is one of the biggest areas of interest to any HR function. Interestingly Bersin shared a Glassdoor fact, showing that in 2008 (during the recession) average engagement scores were 3.11 and now 10 years later, they’ve risen to 3.2 – which isn’t much of a difference, clearly showing the need for change.
“Employees are overwhelmed. I think one of the reasons productivity is slowing down is because we are distracted by emails, texts, social media – it’s a cognitive overload,” Bersin explained. He then went onto discuss the issues millennials face, and how a recent study showed that two-thirds of millennials believe their own economic wellbeing will be less fortunate than their parents. Bersin urged organisations to take a more rounded and citizenship role within wider society.
Bersin indicated that three areas of HR need to be developed:
Technology and AI
Talent attraction and retention
Productivity and wellbeing
A new future of work
To enter into this new and very changeable world of work, Bersin advised leaders to take a deeper look at five ways in which they can improve the overall working experience for employees:
A new organisational structure
A huge issue for companies is the inability to operate digitally because the organisation’s structure stifles it. Companies are often organised around an industrial model that no longer works. Digital companies need to embrace and incorporate agile networks of teams, which are independent, yet interlinked groups with an optimum number of five within each group. People gravitate towards teams when they’re physically co-located, and formalities are taken away. Physical proximity creates intimacy and relationships, which will help improve engagement and productivity and create a shared culture along with shared leadership and potentially new talent practices.
Reinventing management
Be a coach not a boss, we need managers that empower people, build teams, coach people, and collect feedback. Therefore, we now need a different type of leader. If we consider that historically feedback would be carried out once per year in surveys and appraisals, we now (at Deloitte) have a continuous feedback process. Continuous performance management has certainly arrived, which helps coach, develop and identify poor performance. Only 4% of top management is aware of issues within organisations, but with this new wave of technology these tools can enable employees to provide real-time feedback.
Employee experience
When trying to define the issues that affect people at work employee experience data is crucial. Culture is a significant part of this – companies that define a mission and values outperform peers eight-fold over time; when people fit into the organisation’s culture they will rate your company higher. It’s also important to give people a healthier working experience and consider their overall wellbeing, which needs to move into the area of performance within HR. For example, looking to redesign the workplace could have a positive impact by helping with inclusion, fairness and the overall transparency of the business.
Career overhaul
In a world of ever-changing jobs, we need to build better career models and consider the aging workforce. How can we find roles for more senior people? Jobs are becoming stark contrasts between tech and soft skills. People can be retrained for the jobs of future with only 1 years’ worth of education. This option allows people to adapt and gain more skills, and leaders should be seizing this opportunity.
Embrace new technology
In the early 2000s, we went through an integrated talent management wave, after which we had the emergence of products that were cloud-based and easy-to-use (e.g. systems of engagement), but the work experience hasn’t improved. We can be smart with our working and use new technology to bring teams together; for instance, we can use tools to automatically survey people you email on regular basis to feedback on skills and then coach you on those skills – which will be driven by AI. We need a new breed of system to help us manage teams. As an HR team, you should talk to IT about this new breed of team-based tools, as they will become the HR platforms of the future.“More CEOs understand the job of the future is people-centric, but a lot don’t. Almost two-thirds of CEOs think that the key to becoming a digital business is to have new technology, but this isn’t so – people are the key. HR should have a new role, as Chief Productivity Officer,” Bersin concluded.
Future of Work
2018年02月27日
Future of Work
人力资源走向敏捷--HR Goes Agile
人力资源走向敏捷
总览：
人力资源的敏捷性不断提高
敏捷不再仅仅是高科技的代名词，它已经从产品开发到制造到营销，渐渐步入了其他领域和功能中。现在人力资源的灵活性正在改变组织雇佣、发展和管理他们的员工的方式。（在2017德勤的一项调查中，79%的全球高管认为灵活的绩效管理是培养优秀组织中的重要一环。
员工体验的共同创造
那些采用更灵活的人才策略的公司更多的在思考这样一个问题，员工是对工作场所的体验度是怎样的，他们希望像对待顾客一样对待他们的员工。IBM首席人力资源官Diane Gherson，最近跟哈佛商业评论谈及，在标志性的技术公司中员工体验如何对其业务模式进行重组。
一家银行对灵活团队的实验
当网络和移动技术影响到了银行业，消费者越来越意识到他们要为自己做些什么，他们逐渐接受了全球银行集团首席执行官Ralph Hamers的观点，“Banking on the go.”
人力资源走向敏捷
敏捷不仅仅是为了技术而已。它一直在进入其他领域和功能，从产品开发到制造到营销 - 现在它正在改变组织如何雇用，开发和管理他们的员工。
你可以说人力资源正在“敏捷简化”，应用一般原则而不采用科技界的所有工具和协议。这是从基于规则和计划的方法转向由参与者反馈驱动的更简单和更快的模型。这种新的范式在绩效管理领域确实起了作用。（在2017年德勤的一项调查中，79％的全球高管将敏捷绩效管理评为高组织优先事项。）但其他人力资源流程也开始发生变化。
在许多正在逐渐发生的公司中，几乎是有组织的，因为IT的溢出效应，超过90％的组织已经在使用敏捷实践。例如，在蒙特利尔银行（BMO），这一转变始于技术人员加入跨职能产品开发团队，使银行更加关注客户。业务部门从IT同事那里学习了敏捷原则，IT部门从业务中了解到客户需求。其中一个结果是，BMO现在考虑的是团队绩效管理，而不仅仅是个人。在其他方面，敏捷人力资源部门的转变速度更快，更加慎重。GE是一个很好的例子。作为控制系统管理的典范，多年以来，它转而采用了FastWorks，这是一种精简方法，可以减少自上而下的财务控制，并使团队能够根据需求的变化管理项目。
人力资源的变化已经有很长一段时间了。第二次世界大战后，制造业主导了工业景观，计划是人力资源的核心：公司招募了生命力，为他们提供轮换任务以支持他们的发展，提前培养他们以承担更大和更大的角色，并将他们捆绑在一起直接提升到梯子上的每个增量移动。官僚主义是这样一个观点：组织希望他们的人才实践是基于规则和内部一致的，以便他们能够可靠地实现五年（有时是十五年）的计划。这是有道理的。从核心业务到行政职能，公司的其他各个方面都在其目标设定，预算和运营方面采取了长远眼光。人力资源反映并支持他们正在做的事情。
到了20世纪90年代，由于企业变得难以预测，企业需要快速获得新技能，传统方法开始弯曲 - 但并没有完全突破。为了获得更大的灵活性，从外部进行横向招聘取代了大量的内部开发和促销活动。“宽带”补偿为管理者提供了更大的自由度来奖励员工在角色中的成长和成就。然而，大多数情况下，旧模式依然存在。像其他职能一样，人力资源部门仍然是围绕着长期而建立的 继续进行员工队伍和继任计划，尽管经济和业务的变化常常使这些计划无关紧要。尽管几乎普遍不满，但年度评估仍在继续。
现在我们看到了更彻底的转变。为什么这是它的时刻？因为快速创新已经成为大多数公司的战略重点，而不仅仅是一个子集。为了得到它，企业已经向硅谷和软件公司寻找，模仿他们的敏捷实践来管理项目。因此，自上而下的规划模型正在让位于更适合近期适应的灵活的，用户驱动的方法，如快速原型设计，迭代反馈，基于团队的决策以及以任务为中心的“冲刺”。作为BMO首席转型官Lynn Roger表示：“速度是新的商业货币。”
随着旧的人力资源系统的业务合理化，以及敏捷的操作手册可供复制，人员管理终于也获得了期待已久的检修。在本文中，我们将说明公司在人才实践中所做的一些深刻变革，并描述他们在向敏捷人力资源转型过程中所面临的挑战。
我们在哪里看到最大的变化
因为人力资源涉及组织的每个方面 - 每个员工 - 所以它的敏捷转型可能比其他功能的变化更为广泛（也更困难）。公司正在重新设计他们在以下领域的人才实践：
绩效评估。
当企业在核心业务中采用敏捷方法时，他们放弃了试图提前一年或多年计划如何去做以及何时结束的猜忌。所以在很多情况下，第一个传统的人力资源实践是年度绩效评估，以及每年从业务和单位目标“下降”的员工目标。由于个人从事不同领域的短期项目，往往由不同领导人组织，并围绕团队组织，因此一年一次的业绩反馈意见将从一位老板开始，这种想法毫无意义。他们更需要更多的人，更多的人。
早期的行政首长协调会调查显示，人们实际上减少了反馈和支持，当他们的雇主丢弃年度评论时。但是，那是因为许多公司没有任何东西代替它们。管理者认为没有迫切需要采用新的反馈模式，并将注意力转移到其他优先事项上。但是，如果没有填补空白的计划而放弃评估当然是失败的秘诀。
自从学习这一艰难的教训以来，许多组织都转向频繁进行绩效评估，而且经常按项目逐项进行。这一变化已经蔓延到包括零售（Gap），大制药（Pfizer），保险（Cigna），投资（OppenheimerFunds），消费品（P＆G）和会计（所有四大公司）等多个行业。它在通用电气，整个公司的业务范围以及IBM都是最有名的。总的来说，重点是全年提供更为即时的反馈，以便团队可以变得灵活，“过程正确”的错误，提高绩效并通过迭代学习 - 所有关键的敏捷原则。
在以用户为中心的方式中，管理人员和员工已经参与了塑造，测试和改进新流程。例如，强生为其企业提供了参与实验的机会：他们可以尝试新的持续反馈流程，使用定制的应用程序，员工，同事和老板可以实时交换意见。
新流程试图摆脱强生的事件驱动的“五个对话”框架（侧重于目标设定，职业讨论，年中绩效评估，年终评估和薪酬审查），并转向模型持续对话。那些尝试过的人被要求分享一切正常，漏洞是什么等等。实验持续了三个月。起初，只有20％的试点经理积极参与。前几年年度评估的惯性难以克服。但随后该公司利用培训向经理们展示了什么样的良好反馈，并指定了“变革之王”来模拟团队中所需的行为。到三个月结束时，试点组中的46％的经理人员加入，交换了3,000条反馈。
作为快速发展的生物技术公司，Regeneron制药公司正在进行进一步的评估检查。Regeneron公司劳动力发展主管Michelle Weitzman-Garcia认为，从事药物开发，产品供应集团，现场销售人员和公司职能的科学家的表现不应该以相同的周期或以相同的方式进行衡量。她观察到，这些员工群体需要不同的反馈意见，他们甚至在不同的日历上进行操作。
为什么Intuit向敏捷的转型几乎停滞不前
因此，该公司创建了四个独特的评估流程，针对各个群体的需求量身定制。例如，研究科学家和博士后渴望衡量标准并热衷于评估能力，因此他们每年与管理人员会面两次，以进行能力评估和里程碑评估。面向客户的群体包括来自客户和客户评估的反馈。虽然必须管理四个独立的流程增加了复杂性，但它们都强化了持续反馈的新规范。Weitzman-Garcia说，组织的收益远远超过了人力资源成本。
教练。
那些最有效地采用敏捷人才实践的公司投资于提高管理者的教练技能。Cigna的主管们通过为繁忙的管理人员设计的“教练”培训：它被分成每周90分钟的视频，可以被视为人们有时间。主管还参与学习课程，这些课程就像敏捷项目管理中的“学习冲刺”一样简短并且分散开来，以便个人在工作中反思和测试新技能。对等反馈也纳入信诺的经理培训中：同事组成学习小组分享想法和策略。他们正在进行各种公司希望主管与他们的直接报告进行对话，但他们觉得可以自由分享彼此的错误，而不必担心“评估”在他们头上。
DigitalOcean是一家专注于软件即服务（SaaS）基础架构的纽约新创公司，现场聘请全职专业教练帮助所有经理向员工提供更好的反馈，并且更广泛地说，可以开发内部指导功能。这个想法是，一旦经历了良好的教练，就会成为更好的教练。并不是每个人都可以成为一名优秀的教练 - 公司中那些喜欢编码教练的人可以在技术职业生涯中前进 - 但教练技能被认为是管理职业生涯的核心。
宝洁公司也打算让管理人员成为更好的教练。这是为上司重建培训和发展并加强其在组织中的角色的更大努力的一部分。通过简化绩效评估流程，将评估与开发讨论区分开来，并且消除人才校准环节（主管之间的任意马交易往往带有主观和政治化的排名模型），宝洁已经腾出了大量的时间来投入员工的工作，生长。但是，让监督人员从评判员工到在日常工作中指导他们，这一直是宝洁传统丰富文化中的挑战。因此，该公司在培训主管方面投入了大量资金，涉及如何建立员工的优先事项和目标，如何提供有关捐款的反馈，以及如何使员工的职业理想与业务需求和学习与发展计划保持一致。打赌是，建立员工的能力和与主管的关系将增加参与度，从而帮助公司创新并加快步伐。尽管陪审团仍然处于全公司范围内的文化转变之中，宝洁已经在这些领域报告了各级管理层的改进。
团队。
传统人力资源侧重于个人 - 他们的目标，绩效和需求。但是现在有那么多公司按项目组织他们的工作项目，他们的管理和人才系统正在变得更加专注于团队。团队通过Scrum创建，执行和修改他们的目标和任务 - 在团队层面上，现在正在快速适应新信息。（“Scrum”可能是敏捷词典中最着名的术语它来自于橄榄球，玩家紧紧围在一起重新开始游戏）。他们也在自己追踪自己的进步，找出障碍，评估他们的领导力，并且获得关于如何提高表现的见解。
在这种情况下，组织必须学会应对：多向
反馈。在敏捷的环境中，同伴反馈对课程改正和员工发展至关重要，因为团队成员比任何人都更了解每个人的贡献。这很少是一个正式的流程，并且评论通常针对的是员工，而不是主管。这使投入保持建设性，并防止有时在超级竞争性工作场所发生的破坏同事。
但一些高管认为，同行反馈应该对绩效评估产生影响。IBM人力资源主管Diane Gherson解释说：“管理人员和员工之间的关系会随着网络（员工工作的项目集合）而发生变化。”由于敏捷的环境使得“监控”绩效成为可能旧的意义上，IBM的管理人员征求其他人的意见，以帮助他们尽早发现并解决问题。除非它很敏感，否则该输入将在团队的日常站立式会议中共享并在应用程序中捕获。员工可以选择是否将经理和其他人的意见纳入同行。由于同事对主管的评论也转到团队中，因此可以减轻残酷行为的风险。任何试图削弱同事的人都会被暴露。
在敏捷组织中，员工对团队领导和主管的“向上”反馈也很受重视。Mitre公司的非营利研究中心已采取措施鼓励它，但他们发现这需要集中精力。他们开始定期进行机密的员工调查和焦点小组，以发现人们想与管理人员讨论哪些问题。然后人力资源部门将这些数据提供给主管，通过直接报告来通知他们的谈话。然而，员工们最初不愿意提供反馈意见 - 尽管它是匿名的，仅用于开发目的 - 因为他们不习惯表达他们对管理层所做事情的看法。
Mitre还了解到让下属坦诚的最关键因素是管理者明确表示他们想要并赞赏评论。否则，人们可能会合理地担心他们的领导者没有真正愿意接受反馈并准备好应用它。与任何员工调查一样，征求向上反馈并且不采取行动会对参与产生减弱的影响; 它削弱了员工与管理人员之间的辛苦信任。当米特的新绩效管理和反馈过程开始时，首席执行官承认，研究中心需要重复并进行改进。修订的向上反馈系统将于今年推出。
由于反馈流向团队的所有方向，因此许多公司都使用技术来管理团队的数量。应用程序允许主管，同事和客户从任何地方立即给予反馈。最重要的是，主管可以稍后下载所有评论，当时是评估的时候。在一些应用程序中，员工和主管可以对目标进行评分; 至少有一个可以帮助管理人员分析像Slack这样的项目管理平台上的对话，以提供合作反馈。思科利用专有技术收集员工每周的原始数据或“面包屑”，了解他们同行的表现。这些工具使管理者能够看到随着时间的推移个人表现的波动，即使在团队内部也是如此 当然，这些应用程序并不提供正式的性能记录，员工可能希望面对面讨论问题，以避免将问题记录在可下载的文件中。我们知道，企业认可并奖励改进以及实际表现，但隐藏问题并不总是为员工付出代价。
前线决策权。团队的根本转变也影响了决策权：组织正在将他们推向前线，为员工提供装备并赋予其独立性。但这是一个巨大的行为改变，人们需要支持才能实现。让我们回到蒙特利尔银行的例子来说明它如何工作。当BMO引入敏捷团队来设计一些新的客户服务时，高层领导者还没有准备好放弃控制权，而且他们下面的人不习惯接受。所以银行在业务团队中嵌入了敏捷教练。他们首先通过“回顾” - 包括高层管理人员 - 每次迭代后举行定期反思和反馈会议。这些是行动后评论的敏捷版本; 他们的目的是不断改进流程。
复杂的团队动态。最后，由于主管的角色已经从管理个人转向了促进生产性和健康团队动力学的复杂任务，人们也经常需要帮助。思科的特别团队智能部门提供了这种支持。负责识别公司表现最佳的团队，分析他们的运作方式，并帮助其他团队学习如何变得更像他们。它使用名为Team Space的企业级平台，该平台跟踪团队项目，需求和成就的数据，以衡量和改进团队在单位内部和整个公司内部进行的工作。
补偿。
工资也在变化。在梅西百货等零售公司看到，对于敏捷工作的简单调整就是使用现金奖励来确认发生的贡献，而不是仅仅依靠年终工资增长。研究和实践表明，在期望的行为发生后，尽快出现补偿最有利于激励。即时奖励以强大的方式强化即时反馈。由于时间过长，每年以绩效为基础的提高效率不高。
巴塔哥尼亚实际上已经取消了其知识型员工的年度加薪。相反，公司根据市场利率走向的研究，更频繁地调整每项工作的工资。当员工承担更多困难的项目或以其他方式超越时，也可以分配增加额。公司保留个人贡献者前1％的预算，并且主管可以为任何有利于该指定的贡献提供支持，包括对团队的贡献。
敏捷组织重视员工对团队领导的向上反馈。
补偿也被用来加强敏捷价值，如学习和知识共享。例如，在初创的世界里，在线服装租赁公司Rent the Runway分出了不同的奖金，将这笔钱滚到基本工资。首席执行官詹妮弗海曼报告说，奖金计划正在接受诚实的同行反馈。员工并没有分享建设性的批评意见，他们知道这会给他们的同事带来负面的经济后果。海曼说，新系统通过“解开两者”来防止这个问题。
DigitalOcean重新设计了奖励，以促进员工的公平待遇和合作文化。薪资调整现在每年发生两次，以应对外部劳动力市场以及工作和业绩的变化。更重要的是，DigitalOcean缩小了同等工作的薪酬差距。它故意不顾内部竞争，痛苦地意识到超级竞争文化中的问题（比如微软和亚马逊）。为了个性化薪酬，该公司绘制了人们对其角色有影响以及他们需要成长和发展的地点。有关个人对企业影响的数据是讨论薪酬的关键因素。谈判提高自己的薪水是非常沮丧的。而只有成就最高的1％才会获得财务奖励; 否则，没有奖励过程。所有员工都有资格获得奖金，这是基于公司业绩而不是个人缴款。为了进一步支持协作，DigitalOcean正在多元化其奖励组合，以包括非金融和有意义的礼物，如带有首席执行官“最佳书籍”选择的Kindle。
DigitalOcean如何激励人们在没有虚增财务奖励的情况下表现最好？其副总裁马特霍夫曼说，它着重于创造一种激发目的和创造力的文化。到目前为止，似乎工作。通过Culture Amp进行的最新参与调查将DigitalOcean评为高于行业基准的17分，以满足补偿。
招聘。
随着经济大衰退以来经济的改善，招聘和招聘变得更加紧迫和灵活。为了在2015年迅速扩大规模，GE新的数字部门率先进行了一些有趣的招聘实验。例如，一个跨职能团队就所有招聘申请一起工作。“人数经理”代表内部利益相关者的利益，他们希望他们的职位能够快速适当填补。招聘经理轮流和离开团队，取决于他们目前是否在招聘，而Scrum大师负责监督流程。
为了保持事情的顺利进行，团队专注于解决所有障碍的职位空缺 - 如果辩论仍在继续讨论候选人的期望属性，则无需开始工作。职位空缺被排名，并且团队专注于最优先的员工，直至他们完成。它可以同时雇佣多名雇员，以便成员可以分享有关可能更适合其他角色的候选人的信息。该团队跟踪其填充职位的周期时间，并监控看板上的所有未决申请，以确定瓶颈和被阻止的流程。IBM现在采用类似的招聘方式。
公司也越来越依赖技术来寻找和跟踪非常适合敏捷工作环境的候选人。通用电气，IBM和思科正在与Ascendify供应商合作开发可以实现这一目标的软件。IT招聘公司HackerRank提供了一个用于同样目的的在线工具。
学习和发展。
像招聘一样，L＆D不得不改变，以更快速地将新技能带入组织。大多数公司已经有一套在线学习模块，员工可以按需访问。虽然对那些有明确需求的人有帮助，但这有点像给学生一个图书馆的钥匙，告诉她找出她必须知道的东西，然后学习它。较新的方法使用数据分析来识别特定工作和晋升所需的技能，然后根据他们的经验和兴趣向个别员工建议何种培训和未来工作对他们有意义。
IBM使用人工智能来产生这样的建议，从员工的简介开始，包括先前和当前的角色，预期的职业轨迹以及完成的培训计划。该公司还为敏捷环境创建了特殊培训 - 例如，使用围绕一系列“角色”构建的动画模拟来说明有用的行为，例如提供建设性的批评。
人力资源可以从技术中学习什么
传统上，L＆D将继任计划包括在内 - 是自上而下的长期思维的缩影，由此人们提前几年挑选出最重要的领导角色，通常希望他们能够按计划发展某些能力。不过，世界往往不能与这些计划合作。公司经常发现，在高级领导职位开放之时，他们的需求已经发生了变化。最常见的解决方案是忽略计划并从头开始搜索。但是，无论如何组织通常会继续进行长期的继任计划。（大约一半的大公司有计划为顶尖工作开发接班人。）百事可乐公司通过缩短时间框架，从这个模型中脱身而出。
持续的挑战
可以肯定的是，并非每个组织或团体都在追求快速创新。有些工作必须基本以规则为基础。（考虑会计师，核控制室操作员和外科医生所做的工作。）在这种情况下，敏捷人才实践可能没有意义。
即使他们合适，他们也可能遇到阻力 - 尤其是在人力资源部门。许多流程必须改变，让组织摆脱基于规划的“瀑布”模型（这是线性的而不是灵活的和适应性的），并且其中一些流程被硬连接到信息系统，职位名称等等。向独立发生的基于云计算的IT迈进，使采用基于应用的工具变得更加容易。但人们的问题仍然是一个棘手的问题。许多人力资源工作，例如传统的招聘，入职和计划协调方法，将会变得过时，这些领域的专业知识也会过时。
同时，新的任务正在创建。帮助主管取代对教练的评价不仅是技术方面的挑战，也是因为它削弱了他们的地位和正式的权威。将管理重点从个人转移到团队可能更加困难，因为团队动态对于那些仍在努力理解如何指导个人的人来说可能是一个黑盒子。最大的问题是公司是否可以帮助管理者把所有这些都看好，并看到其中的价值。
人力资源职能也需要重新培训。它需要更多的IT支持方面的专业知识 - 尤其是考虑到新应用程序产生的所有性能数据 - 以及对团队和实际操作监督的深入了解。近几十年来，人力资源并没有像它所支持的生产线一样改变。但是现在压力已经开始了，它来自于经营层面，这使得坚守旧的人才实践变得更加困难。
共同创造员工体验
作者：Lisa Burrell
采用敏捷人才实践的公司正在对员工如何体验工作场所给予很多思考 - 在某些方面，将他们视为客户。IBM首席人力资源官Diane Gherson最近与HBR讨论了这个标志性科技公司如何改变其业务模式，这是如何发生的。编辑摘录如下。
HBR： IBM将人力资源经验放在人力资源管理的中心在什么意义上？
佳森律师事务所：和其他很多公司一样，我们始于相信如果人们与我们合作感觉很好，我们的客户也会这样。这不是一个新的想法，但它确实是我们非常认真对待的一个问题，大约需要四五年。我们已经看到它证实了。我们发现员工敬业度解释了我们客户体验分数的三分之二。如果我们能够将客户满意度提高5个点，我们平均可以获得额外20％的收入。很显然，这有一个影响。这是变革的商业案例。
但它需要思想转变。以前，我们倾向于依靠专家来建立我们的人力资源计划。现在，我们将员工带入设计流程，与他们共同创造，随着时间的推移迭代，以满足人们的需求。
IBM人力资源主管戴安·吉尔森
这在实践中看起来如何？
员工入职是一个很好的例子 - 我们非常认真地看待第一个流程。我们知道我们希望人们走出去思考，“我很高兴我在这里，我明白我需要知道要走的路。”但是我们开始太小了。我们以一种传统的方式接近了它，所有这些都是关于你的第一天的体验。一旦我们开始询问新员工他们的入职情况如何，我们听到了诸如“我没有及时拿到笔记本电脑”，或者“我无法及时获得我的信用卡来参加我的第一次会议”或“我在访问内部网络时遇到了问题。“所有这些都会影响到有人加入公司的感觉。
一旦你意识到这一点，入职团队的职责就变成了人们如何体验整个过程，从头到尾。为了做到这一点，你必须与更广泛的玩家合作。你带上安全设备以确保身份证件在那里。你带来房地产，以确保人们有一个物理空间，并知道去哪里。您可以使用Networking来确保其远程访问已启动并正在运行。所有这些都是入职培训的一部分。这不仅仅是在第一天和其他一批新员工进行一次精彩的会面。
我们花了一段时间才明白这一点。你必须扩大你的范围，并停止思考，以创造一个伟大的员工体验。
IBM的学习和开发方法如何改变？
人们现在在手机和平板电脑上消费内容 - 他们使用YouTube和TED会谈来加快他们不知道的事情。所以我们不得不放弃传统的学习管理体系，对教育和发展有不同的想法。再次，我们引进了我们的千禧一代，引入了我们的用户，并且为我们的380,000名IBM员工中的每一位提供了个性化的学习平台。
它是根据角色量身定制的，智能建议不断更新。它的组织有点像Netflix，有不同的渠道。你可以看到其他人如何评价各种产品。还有一位现场聊天顾问，他现在帮助学习者。
我们测量人力资源服务，如使用净推动力分数进行学习 - 这是不可抗拒体验的终极指标。之前，我们使用了经典的五点满意度量表。即使有人给你评分3.1，你最终会说他们很满意，而对于Net Promoter来说，你必须处于最后的规模，因为你必须减去所有的反对者。要做到这一点很难，它会给你提供更好的人们反馈信息。为了学习，最后我们的NPS为60.这是在“优秀”范围内，但当然还有改进的空间。
你用什么工具来定制学习？
通过Watson Analytics，我们能够从公司内部的数字足迹中推断出人们的专业知识，并将其与他们应该在其特定工作家庭中的位置进行比较。该系统是认知的，所以它知道你 - 它已经摄入了关于你的技能的数据，并能够给你个性化的学习建议。它会告诉你，“好的，你需要增加这些领域的深度 - 这里有一些产品可以帮助你做到这一点。”然后，你可以将它们固定在日历中，或者排列在日历中以备将来学习。该系统还研究了您可能距离获得数字徽章有多近，我们在过去几年中已经开始使用该徽章来展示哪些员工应用了技能。该工具可帮助您通过推荐特定的网络研讨会和内部和外部课程来实现徽章。这全都基于人工智能。在这一点上，技能推论的准确率大约为96％。
“人们在成型时不太可能抵制变革。”
你怎么知道？
我们过去一直在进行这种费力的手动过程，让人们填写技能调查问卷，让他们的经理签字。但那会很快过时。所以我们停止了这样做。相反，特定工作家庭或行业的领导者会对我们推断的结果进行抽查。他们采访员工并确定他们的位置，并将其与我们系统中的推断进行比较。
IBM也对其性能管理系统进行了改革。员工如何参与这个过程？
如你所知，绩效管理在大多数公司中都是一种避雷针。而不是做典型的事情 - 这将是做一些基准测试，集合一批专家，提出新设计并试用它 - 我们决定全力以赴和我们的员工共同创造一种延长的黑客马拉松。我们使用了设计思维，提出了你可能被描述为“概念车”的东西 - 这是人们试驾和踢轮胎的东西，而不是仅仅处理概念。我们在2015年夏天做到了这一点，并在五个月后在整个公司实施。这就是让全体员工参与的力量 - 人们在掌握变化时不太可能抵制变革。
为了开始共同创作过程，我有一天在博客上写道：“我们很乐意接受你的建议。如果你讨厌它，我们会重新开始，没问题。但我们真的想要你的想法。“我们做了一些关于我们认为可能的样子的视频。我在一夜之间得到了18,000个回应 幸运的是，我们有技术来分析这一切，看看人们喜欢和不喜欢的东西。
起初有人说：“这真是一个骗局 - 你已经知道你想做什么。”但我们解释说我们真的想听到他们的消息，并且我们把他们带到了各种讨论论坛。这花了一段时间，但我想我们确实把他们转过来了。我们不断沟通，说：“好吧，你喜欢这个; 你不喜欢那样。这里是你不能同意的地方。“与此同时，我们正在组装原型来向人们展示。
我清楚地知道有一些基本规则。例如，我们不会摆脱关于绩效的讨论，我们希望为绩效付费。但总的来说，它是开放的。与大多数公司相比，整个过程花费的时间少于重新设计绩效管理计划的时间，我们涉及大约10万名员工。最后，我们问道：“你想怎么称呼它？”成千上万的人投了票。我们最后有三个名字，并选择了检查站。
绩效管理永远不可能是完美的。但是你的宝宝从来不会很难看。我们的员工创建了自己的计划，并为此感到自豪。你可以在他们正在进行的博客中看到它，我们要求他们谈论什么在工作，什么不在，并告诉我们如何改进系统。自从我们把它放在那里以来，我们一直这么做。他们的总体信息是“这就是我们想要的”。它被认为是参与度提高的首要原因。人们以更加丰富的方式从这个系统中获得更多的反馈。更重要的是，他们在我们的转变中并不像是旁观者。他们是积极的参与者。
“我们能够迅速发现问题并承诺为他们做些事情。”
你如何利用“情绪分析”来进一步解决员工的需求？
情绪分析在人们总是在线评论的世界中非常有用。我们的认知技术着眼于人们选择的语言并提取语气。它确定它是正面的还是负面的，然后再深入，说明它是强烈的还是强烈的消极的。这样看起来就像看音乐 - 看看哪里有很高的音符或很低的音符很响。它始终在我们的防火墙之后，永远不会外部。它不会查看任何人传递的信息或电子邮件内容或浏览行为。它只是在他们的博客和防火墙内的评论中看到语气。
使用这种方法，如果您需要深入了解某个区域，您可以快速提取。我们已经能够迅速发现开始酿造的问题，并且更重要的是，承诺为他们做些事情。这是与社交平台合作最令人兴奋的部分。我们举了几个我们做错了事情的例子。我的一些人决定，我们不会赔偿共乘。员工变得焦躁不安，我可以迅速回应已经变成请愿书的问题。“我读了你的所有评论，”我告诉他们，“你提出了我们没有想到的一些伟大的观点。我们试图寻找您的安全，但总的来说，这不是正确的选择。让我们回到我们原来的政策。“所有这些都在24小时内发生。人们听到并非常感激。
一年前我们有类似的情况。当您前往客户网站整整一周时，我们不得不计算收入，而不是马上回家，您的配偶或朋友会在周末陪伴您。因为我们会报销客人的旅行，所以造成了税务问题。我们改变了这个计划，因为这个计划变得混乱了，员工们又被激怒了。我当然可以理解为什么。如果你一直在路上，当然你可能希望你的配偶陪你一个周末。人们不希望我们为他们做出决定。那是另外一个例子，我们很快就聚在一起说：“嘿，如果他们想为自己的税收负责，他们可以做到。”这是一个很好的警告，呼吁我们不要如此家长式。
在人们身体不在一起的组织中，您可以使用情感分析来了解哪些地方出现问题，哪些地方管理不够强大，哪些地区的人群表达否定意见。它允许你检查这些网站或组，并查明发生了什么。
现在的员工是否比过去拥有更多权力？
是。现在对组织内部的内容给予更多的重视，因为它也可以通过社交媒体在外面听到。Glassdoor就是一个很好的例子。在过去，你可能有一些公司不适合工作，但只有一小部分人知道。现在全世界都知道这件事，因为它在Glassdoor上 - 这使得公司变成了玻璃屋。人们可以看看发生了什么，并以他们以前无法做到的方式判断他们是否想在那里工作。
让我们回过头来看看IBM向敏捷人才实践转变的背后的商业原因 - 您能否更多地谈论这些？
我提到客户满意度。今天的客户正在寻找前所未有的速度和响应能力。在较早的时代，他们真正想要的是最好的产品，最好的价格 - 效率很重要，但速度并不如此。
在二十一世纪初，我们将为来自世界各地的专家组织一个项目，他们将花费一小部分时间在这个项目上，因为他们也在从事其他项目。他们会加入电话会议，因为人们处于不同的时区，这一直很难。我相信他们在进行这些电话时是多任务的。该项目可能需要六个月到一年的时间。现在，我们将采用一小组专门的人员，并将他们放在一起三个月，他们将使用敏捷方法完成所有工作。这是关于如何为客户创造价值的另一种思考方式。它响应他们对速度的需求。
是否有人希望敏捷的人才方法能够帮助IBM弥补其在向云计算和其他业务转型过程中失去的收入和增长？
我们是一家正在改变自己的公司：我们45％的收入来自我们五年前没有的企业，而我们是一家800亿美元的公司。当你正在经历这种转变，并看到你的一些传统业务出现低迷时，并且当你开始新业务时你正在翻新这些业务，你可能会看到一些不平衡的表现。你在开车的时候基本上是换胎。是的，这需要敏捷。
一家银行的敏捷团队实验
由Dominic Barton，Dennis Carey和Ram Charan撰写
当网络和移动技术打乱银行业时，消费者越来越意识到自己可以为自己做些什么。他们很快接受了全球银行集团ING首席执行官拉尔夫哈默斯称的“随时随地的银行业务”。
到2014年，与ING零售客户的所有互动中约有40％通过移动应用程序进入。（现在这个数字已经接近60％了 - 分支机构的访问量和联系中心的呼叫数已经下降到1％以下）。即便移动客户希望能够随时随地轻松访问最新的信息。例如，某人在乘火车回家的路上，他开始进行贷款交易，希望能够在当晚的桌面上继续使用。“我们的客户将大部分在线时间花费在Facebook和Netflix等平台上，”Hamers说。“这些为用户体验设定了标准。”
这意味着ING需要变得更加灵活和更加以用户为中心，在其金融之旅的每一个角落为全球3,000多万客户提供服务。因此，哈默尔与荷兰荷兰集团首席执行官Nick Jue一起，在ING最大的荷兰零售业务部门总部启动了试点转型。第一步是帮助其他高层领导和董事会设想一个新的灵活的，基于团队的系统来部署，开发和评估人才。（ING已经在荷兰IT部门采用敏捷和Scrum方法，但这些工作方式对组织其他部门来说是新的。）Hamers和他的领导团队随后在他们所崇拜的科技公司会见了人员，了解他们的人才系统提供更好的客户服务。到2015年春荷兰荷兰国际集团的总部，部落，小队和章节。
部落，小队和章节
创建了13个部落来解决特定的领域，例如抵押服务，证券和私人银行业务。每个部落最多可容纳150人。（例如，销售，服务和支持职能部门的员工在这种结构之外工作 - 例如在较小的客户忠诚团队中工作 - 但他们与部落合作）。并且每个部门都有领导者确定优先事项，分配预算并确保知识和见解在部落内部和部落之间共享。
部落领导还有另外一项重要责任：通过部落成员的投入，创建由九人或更少人组成的自我指导小组，通过交付和维护新产品和服务来解决特定客户需求。这些小组是跨学科的 - 通常由营销专家，数据分析师，用户体验设计师，IT工程师和产品专家组成。一名小队成员被指定为“产品负责人”，负责协调活动并确定优先事项。只要满足客户的需求，团队就会一直呆在一起 - 无论是提高移动应用程序的用户体验还是构建特定功能。有些任务在两周内完成; 其他人可能需要18个月。有时候团队解散，成员加入其他团队。最经常，
通过在这样的小单位工作，并与来自不同学科的同事一起工作，小队成员可以迅速解决之前可能从部门反弹到部门的问题。通过Scrum和日常站点等机制鼓励信息共享，这是您在科技初创公司可以找到的聚会类型。从开始到结束看到一个项目，让每个小组都感受到对客户的所有权和联系。
实施敏捷人才系统并不意味着陷入混乱。实际上，设计良好的系统遵循明确规定的规则和保障措施，以确保机构稳定。例如，每个部落都有一对敏捷教练，帮助队员和个人在鼓励员工在实地解决问题而不是传递给其他人的环境中有效协作。尽管你可能认为适应对于长期银行员工来说是最难的，但根据ING荷兰首席信息官Peter Jacobs的说法，情况并非如此。“他们中的许多人”比年轻一代更快，更容易适应“，他说，也许是因为他们的专业知识现在比过去有更多的影响力，因为需要签署这么多的签字。
在小型跨职能部门工作，班组可以快速解决问题。
然后是章节，它们协调同一学科的成员 - 数据分析或者系统过程 - 分散在班组中。章节负责人负责跟踪和分享最佳实践以及诸如专业开发和绩效评估之类的内容。即使在省去了耗时的交接和官僚作风的情况下，也可以将章节看作是保留传统管理的有用部分的一种方式。
系统内置定期评估。每两周一次的班组审查他们的工作。哈默斯说：“他们可以决定他们将如何继续为我们的客户改进产品，或者他们是否想'快速失败'。”（从失败中学习是值得称赞的）。小组在完成任务之后还会进行全面的自我评估参与和部落进行季度业务评论（QBR），观察他们最大的成功和失败，回顾他们最重要的学习，并明确未来三个月的目标。
这些保障措施有助于抵消ING荷兰公司现任首席执行官Vincent van den Boogert（以及启动新组织结构的团队的一部分）所认为的基于班组系统的两大挑战。一个是自负的小队主要响应客户的需求可能会采取与公司战略不同步的变化。QBRs可以缓解这种风险。第二个挑战有点违反直觉。自我评估小组有时满足于他们每两周进行的渐进式改进。QBR也在这方面提供帮助，因为高层管理人员使用它们来制定和加强延伸目标。
哈默尔在两年多的时间里认为这个人才实验取得了巨大的成功。客户满意度和员工敬业度都提高了，ING更快地推出新产品。因此，该银行已开始推出这种新工作方式，为本国以外的约4万名员工工作。对于哈默斯来说，改变不会很快。每个ING 13个零售市场的应用程序在外观，设计和功能上各不相同。Hamers希望让事情变得更简单，这样任何地方的任何客户都会遇到同样的ING。“技术公司在全球有一个平台，”他说。“无论您在哪里使用Netflix，Facebook或Google，都可以获得相同的服务。ING必须这样做。这是我们将所有客户带入银行业未来的唯一途径。“
以上由AI翻译完成，HRTechChina.com倾情奉献，转载请注明。
HR Goes Agile
by Peter Cappelli & Anna Tavis
Agile isn’t just for tech anymore. It’s been working its way into other areas and functions, from product development to manufacturing to marketing—and now it’s transforming how organizations hire, develop, and manage their people.
You could say HR is going “agile lite,” applying the general principles without adopting all the tools and protocols from the tech world. It’s a move away from a rules- and planning-based approach toward a simpler and faster model driven by feedback from participants. This new paradigm has really taken off in the area of performance management. (In a 2017 Deloitte survey, 79% of global executives rated agile performance management as a high organizational priority.) But other HR processes are starting to change too.
In many companies that’s happening gradually, almost organically, as a spillover from IT, where more than 90% of organizations already use agile practices. At the Bank of Montreal (BMO), for example, the shift began as tech employees joined cross-functional product-development teams to make the bank more customer focused. The business side has learned agile principles from IT colleagues, and IT has learned about customer needs from the business. One result is that BMO now thinks about performance management in terms of teams, not just individuals. Elsewhere the move to agile HR has been faster and more deliberate. GE is a prime example. Seen for many years as a paragon of management through control systems, it switched to FastWorks, a lean approach that cuts back on top-down financial controls and empowers teams to manage projects as needs evolve.
The changes in HR have been a long time coming. After World War II, when manufacturing dominated the industrial landscape, planning was at the heart of human resources: Companies recruited lifers, gave them rotational assignments to support their development, groomed them years in advance to take on bigger and bigger roles, and tied their raises directly to each incremental move up the ladder. The bureaucracy was the point: Organizations wanted their talent practices to be rules-based and internally consistent so that they could reliably meet five-year (and sometimes 15-year) plans. That made sense. Every other aspect of companies, from core businesses to administrative functions, took the long view in their goal setting, budgeting, and operations. HR reflected and supported what they were doing.
By the 1990s, as business became less predictable and companies needed to acquire new skills fast, that traditional approach began to bend—but it didn’t quite break. Lateral hiring from the outside—to get more flexibility—replaced a good deal of the internal development and promotions. “Broadband” compensation gave managers greater latitude to reward people for growth and achievement within roles. For the most part, though, the old model persisted. Like other functions, HR was still built around the long term. Workforce and succession planning carried on, even though changes in the economy and in the business often rendered those plans irrelevant. Annual appraisals continued, despite almost universal dissatisfaction with them.
Now we’re seeing a more sweeping transformation. Why is this the moment for it? Because rapid innovation has become a strategic imperative for most companies, not just a subset. To get it, businesses have looked to Silicon Valley and to software companies in particular, emulating their agile practices for managing projects. So top-down planning models are giving way to nimbler, user-driven methods that are better suited for adapting in the near term, such as rapid prototyping, iterative feedback, team-based decisions, and task-centered “sprints.” As BMO’s chief transformation officer, Lynn Roger, puts it, “Speed is the new business currency.”
With the business justification for the old HR systems gone and the agile playbook available to copy, people management is finally getting its long-awaited overhaul too. In this article we’ll illustrate some of the profound changes companies are making in their talent practices and describe the challenges they face in their transition to agile HR.
Where We’re Seeing the Biggest Changes
Because HR touches every aspect—and every employee—of an organization, its agile transformation may be even more extensive (and more difficult) than the changes in other functions. Companies are redesigning their talent practices in the following areas:
Performance appraisals.
When businesses adopted agile methods in their core operations, they dropped the charade of trying to plan a year or more in advance how projects would go and when they would end. So in many cases the first traditional HR practice to go was the annual performance review, along with employee goals that “cascaded” down from business and unit objectives each year. As individuals worked on shorter-term projects of various lengths, often run by different leaders and organized around teams, the notion that performance feedback would come once a year, from one boss, made little sense. They needed more of it, more often, from more people.
An early-days CEB survey suggested that people actually got less feedback and support when their employers dropped annual reviews. However, that’s because many companies put nothing in their place. Managers felt no pressing need to adopt a new feedback model and shifted their attention to other priorities. But dropping appraisals without a plan to fill the void was of course a recipe for failure.
Since learning that hard lesson, many organizations have switched to frequent performance assessments, often conducted project by project. This change has spread to a number of industries, including retail (Gap), big pharma (Pfizer), insurance (Cigna), investing (OppenheimerFunds), consumer products (P&G), and accounting (all Big Four firms). It is most famous at GE, across the firm’s range of businesses, and at IBM. Overall, the focus is on delivering more-immediate feedback throughout the year so that teams can become nimbler, “course-correct” mistakes, improve performance, and learn through iteration—all key agile principles.
In user-centered fashion, managers and employees have had a hand in shaping, testing, and refining new processes. For instance, Johnson & Johnson offered its businesses the chance to participate in an experiment: They could try out a new continual-feedback process, using a customized app with which employees, peers, and bosses could exchange comments in real time.
The new process was an attempt to move away from J&J’s event-driven “five conversations” framework (which focused on goal setting, career discussion, a midyear performance review, a year-end appraisal, and a compensation review) and toward a model of ongoing dialogue. Those who tried it were asked to share how well everything worked, what the bugs were, and so on. The experiment lasted three months. At first only 20% of the managers in the pilot actively participated. The inertia from prior years of annual appraisals was hard to overcome. But then the company used training to show managers what good feedback could look like and designated “change champions” to model the desired behaviors on their teams. By the end of the three months, 46% of managers in the pilot group had joined in, exchanging 3,000 pieces of feedback.
Regeneron Pharmaceuticals, a fast-growing biotech company, is going even further with its appraisals overhaul. Michelle Weitzman-Garcia, Regeneron’s head of workforce development, argued that the performance of the scientists working on drug development, the product supply group, the field sales force, and the corporate functions should not be measured on the same cycle or in the same way. She observed that these employee groups needed varying feedback and that they even operated on different calendars.
Why Intuit’s Transition to Agile Almost Stalled Out
So the company created four distinct appraisal processes, tailored to the various groups’ needs. The research scientists and postdocs, for example, crave metrics and are keen on assessing competencies, so they meet with managers twice a year for competency evaluations and milestones reviews. Customer-facing groups include feedback from clients and customers in their assessments. Although having to manage four separate processes adds complexity, they all reinforce the new norm of continual feedback. And Weitzman-Garcia says the benefits to the organization far outweigh the costs to HR.
Coaching.
The companies that most effectively adopt agile talent practices invest in sharpening managers’ coaching skills. Supervisors at Cigna go through “coach” training designed for busy managers: It’s broken into weekly 90-minute videos that can be viewed as people have time. The supervisors also engage in learning sessions, which, like “learning sprints” in agile project management, are brief and spread out to allow individuals to reflect and test-drive new skills on the job. Peer-to-peer feedback is incorporated in Cigna’s manager training too: Colleagues form learning cohorts to share ideas and tactics. They’re having the kinds of conversations companies want supervisors to have with their direct reports, but they feel freer to share mistakes with one another, without the fear of “evaluation” hanging over their heads.
DigitalOcean, a New York–based start-up focused on software as a service (SaaS) infrastructure, engages a full-time professional coach on-site to help all managers give better feedback to employees and, more broadly, to develop internal coaching capabilities. The idea is that once one experiences good coaching, one becomes a better coach. Not everyone is expected to become a great coach—those in the company who prefer coding to coaching can advance along a technical career track—but coaching skills are considered central to a managerial career.
P&G, too, is intent on making managers better coaches. That’s part of a larger effort to rebuild training and development for supervisors and enhance their role in the organization. By simplifying the performance review process, separating evaluation from development discussions, and eliminating talent calibration sessions (the arbitrary horse trading between supervisors that often comes with a subjective and politicized ranking model), P&G has freed up a lot of time to devote to employees’ growth. But getting supervisors to move from judging employees to coaching them in their day-to-day work has been a challenge in P&G’s tradition-rich culture. So the company has invested heavily in training supervisors on topics such as how to establish employees’ priorities and goals, how to provide feedback about contributions, and how to align employees’ career aspirations with business needs and learning and development plans. The bet is that building employees’ capabilities and relationships with supervisors will increase engagement and therefore help the company innovate and move faster. Even though the jury is still out on the companywide culture shift, P&G is already reporting improvements in these areas, at all levels of management.
Teams.
Traditional HR focused on individuals—their goals, their performance, their needs. But now that so many companies are organizing their work project by project, their management and talent systems are becoming more team focused. Groups are creating, executing, and revising their goals and tasks with scrums—at the team level, in the moment, to adapt quickly to new information as it comes in. (“Scrum” may be the best-known term in the agile lexicon. It comes from rugby, where players pack tightly together to restart play.) They are also taking it upon themselves to track their own progress, identify obstacles, assess their leadership, and generate insights about how to improve performance.
In that context, organizations must learn to contend with:
Multidirectional feedback. Peer feedback is essential to course corrections and employee development in an agile environment, because team members know better than anyone else what each person is contributing. It’s rarely a formal process, and comments are generally directed to the employee, not the supervisor. That keeps input constructive and prevents the undermining of colleagues that sometimes occurs in hypercompetitive workplaces.
But some executives believe that peer feedback should have an impact on performance evaluations. Diane Gherson, IBM’s head of HR, explains that “the relationships between managers and employees change in the context of a network [the collection of projects across which employees work].” Because an agile environment makes it practically impossible to “monitor” performance in the old sense, managers at IBM solicit input from others to help them identify and address issues early on. Unless it’s sensitive, that input is shared in the team’s daily stand-up meetings and captured in an app. Employees may choose whether to include managers and others in their comments to peers. The risk of cutthroat behavior is mitigated by the fact that peer comments to the supervisor also go to the team. Anyone trying to undercut colleagues will be exposed.
In agile organizations, “upward” feedback from employees to team leaders and supervisors is highly valued too. The Mitre Corporation’s not-for-profit research centers have taken steps to encourage it, but they’re finding that this requires concentrated effort. They started with periodic confidential employee surveys and focus groups to discover which issues people wanted to discuss with their managers. HR then distilled that data for supervisors to inform their conversations with direct reports. However, employees were initially hesitant to provide upward feedback—even though it was anonymous and was used for development purposes only—because they weren’t accustomed to voicing their thoughts about what management was doing.
Mitre also learned that the most critical factor in getting subordinates to be candid was having managers explicitly say that they wanted and appreciated comments. Otherwise people might worry, reasonably, that their leaders weren’t really open to feedback and ready to apply it. As with any employee survey, soliciting upward feedback and not acting on it has a diminishing effect on participation; it erodes the hard-earned trust between employees and their managers. When Mitre’s new performance-management and feedback process began, the CEO acknowledged that the research centers would need to iterate and make improvements. A revised system for upward feedback will roll out this year.
Because feedback flows in all directions on teams, many companies use technology to manage the sheer volume of it. Apps allow supervisors, coworkers, and clients to give one another immediate feedback from wherever they are. Crucially, supervisors can download all the comments later on, when it’s time to do evaluations. In some apps, employees and supervisors can score progress on goals; at least one helps managers analyze conversations on project management platforms like Slack to provide feedback on collaboration. Cisco uses proprietary technology to collect weekly raw data, or “breadcrumbs,” from employees about their peers’ performance. Such tools enable managers to see fluctuations in individual performance over time, even within teams. The apps don’t provide an official record of performance, of course, and employees may want to discuss problems face-to-face to avoid having them recorded in a file that can be downloaded. We know that companies recognize and reward improvement as well as actual performance, however, so hiding problems may not always pay off for employees.
Frontline decision rights. The fundamental shift toward teams has also affected decision rights: Organizations are pushing them down to the front lines, equipping and empowering employees to operate more independently. But that’s a huge behavioral change, and people need support to pull it off. Let’s return to the Bank of Montreal example to illustrate how it can work. When BMO introduced agile teams to design some new customer services, senior leaders weren’t quite ready to give up control, and the people under them were not used to taking it. So the bank embedded agile coaches in business teams. They began by putting everyone, including high-level executives, through “retrospectives”—regular reflection and feedback sessions held after each iteration. These are the agile version of after-action reviews; their purpose is to keep improving processes. Because the retrospectives quickly identified concrete successes, failures, and root causes, senior leaders at BMO immediately recognized their value, which helped them get on board with agile generally and loosen their grip on decision making.
Complex team dynamics. Finally, since the supervisor’s role has moved away from just managing individuals and toward the much more complicated task of promoting productive, healthy team dynamics, people often need help with that, too. Cisco’s special Team Intelligence unit provides that kind of support. It’s charged with identifying the company’s best-performing teams, analyzing how they operate, and helping other teams learn how to become more like them. It uses an enterprise-wide platform called Team Space, which tracks data on team projects, needs, and achievements to both measure and improve what teams are doing within units and across the company.
Compensation.
Pay is changing as well. A simple adaptation to agile work, seen in retail companies such as Macy’s, is to use spot bonuses to recognize contributions when they happen rather than rely solely on end-of-year salary increases. Research and practice have shown that compensation works best as a motivator when it comes as soon as possible after the desired behavior. Instant rewards reinforce instant feedback in a powerful way. Annual merit-based raises are less effective, because too much time goes by.
Patagonia has actually eliminated annual raises for its knowledge workers. Instead the company adjusts wages for each job much more frequently, according to research on where market rates are going. Increases can also be allocated when employees take on more-difficult projects or go above and beyond in other ways. The company retains a budget for the top 1% of individual contributors, and supervisors can make a case for any contribution that merits that designation, including contributions to teams.
Upward feedback from employees to team leaders is valued in agile organizations.
Compensation is also being used to reinforce agile values such as learning and knowledge sharing. In the start-up world, for instance, the online clothing-rental company Rent the Runway dropped separate bonuses, rolling the money into base pay. CEO Jennifer Hyman reports that the bonus program was getting in the way of honest peer feedback. Employees weren’t sharing constructive criticism, knowing it could have negative financial consequences for their colleagues. The new system prevents that problem by “untangling the two, ” Hyman says.
DigitalOcean redesigned its rewards to promote equitable treatment of employees and a culture of collaboration. Salary adjustments now happen twice a year to respond to changes in the outside labor market and in jobs and performance. More important, DigitalOcean has closed gaps in pay for equivalent work. It’s deliberately heading off internal rivalry, painfully aware of the problems in hypercompetitive cultures (think Microsoft and Amazon). To personalize compensation, the firm maps where people are having impact in their roles and where they need to grow and develop. The data on individuals’ impact on the business is a key factor in discussions about pay. Negotiating to raise your own salary is fiercely discouraged. And only the top 1% of achievement is rewarded financially; otherwise, there is no merit-pay process. All employees are eligible for bonuses, which are based on company performance rather than individual contributions. To further support collaboration, DigitalOcean is diversifying its portfolio of rewards to include nonfinancial, meaningful gifts, such as a Kindle loaded with the CEO’s “best books” picks.
How does DigitalOcean motivate people to perform their best without inflated financial rewards? Matt Hoffman, its vice president of people, says it focuses on creating a culture that inspires purpose and creativity. So far that seems to be working. The latest engagement survey, via Culture Amp, ranks DigitalOcean 17 points above the industry benchmark in satisfaction with compensation.
Recruiting.
With the improvements in the economy since the Great Recession, recruiting and hiring have become more urgent—and more agile. To scale up quickly in 2015, GE’s new digital division pioneered some interesting recruiting experiments. For instance, a cross-functional team works together on all hiring requisitions. A “head count manager” represents the interests of internal stakeholders who want their positions filled quickly and appropriately. Hiring managers rotate on and off the team, depending on whether they’re currently hiring, and a scrum master oversees the process.
To keep things moving, the team focuses on vacancies that have cleared all the hurdles—no req’s get started if debate is still ongoing about the desired attributes of candidates. Openings are ranked, and the team concentrates on the top-priority hires until they are completed. It works on several hires at once so that members can share information about candidates who may fit better in other roles. The team keeps track of its cycle time for filling positions and monitors all open requisitions on a kanban board to identify bottlenecks and blocked processes. IBM now takes a similar approach to recruitment.
Companies are also relying more heavily on technology to find and track candidates who are well suited to an agile work environment. GE, IBM, and Cisco are working with the vendor Ascendify to create software that does just this. The IT recruiting company HackerRank offers an online tool for the same purpose.
Learning and development.
Like hiring, L&D had to change to bring new skills into organizations more quickly. Most companies already have a suite of online learning modules that employees can access on demand. Although helpful for those who have clearly defined needs, this is a bit like giving a student the key to a library and telling her to figure out what she must know and then learn it. Newer approaches use data analysis to identify the skills required for particular jobs and for advancement and then suggest to individual employees what kinds of training and future jobs make sense for them, given their experience and interests.
IBM uses artificial intelligence to generate such advice, starting with employees’ profiles, which include prior and current roles, expected career trajectory, and training programs completed. The company has also created special training for agile environments—using, for example, animated simulations built around a series of “personas” to illustrate useful behaviors, such as offering constructive criticism.
What HR Can Learn from Tech
Traditionally, L&D has included succession planning—the epitome of top-down, long-range thinking, whereby individuals are picked years in advance to take on the most crucial leadership roles, usually in the hope that they will develop certain capabilities on schedule. The world often fails to cooperate with those plans, though. Companies routinely find that by the time senior leadership positions open up, their needs have changed. The most common solution is to ignore the plan and start a search from scratch. But organizations often continue doing long-term succession planning anyway. (About half of large companies have a plan to develop successors for the top job.) Pepsi is one company taking a simple step away from this model by shortening the time frame. It provides brief quarterly updates on the development of possible successors—in contrast to the usual annual updates—and delays appointments so that they happen closer to when successors are likely to step into their roles.
Ongoing Challenges
To be sure, not every organization or group is in hot pursuit of rapid innovation. Some jobs must remain largely rules based. (Consider the work that accountants, nuclear control-room operators, and surgeons do.) In such cases agile talent practices may not make sense.
And even when they’re appropriate, they may meet resistance—especially within HR. A lot of processes have to change for an organization to move away from a planning-based, “waterfall” model (which is linear rather than flexible and adaptive), and some of them are hardwired into information systems, job titles, and so forth. The move toward cloud-based IT, which is happening independently, has made it easier to adopt app-based tools. But people issues remain a sticking point. Many HR tasks, such as traditional approaches to recruitment, onboarding, and program coordination, will become obsolete, as will expertise in those areas.
Meanwhile, new tasks are being created. Helping supervisors replace judging with coaching is a big challenge not just in terms of skills but also because it undercuts their status and formal authority. Shifting the focus of management from individuals to teams may be even more difficult, because team dynamics can be a black box to those who are still struggling to understand how to coach individuals. The big question is whether companies can help managers take all this on and see the value in it.
The HR function will also require reskilling. It will need more expertise in IT support—especially given all the performance data generated by the new apps—and deeper knowledge about teams and hands-on supervision. HR has not had to change in recent decades nearly as much as have the line operations it supports. But now the pressure is on, and it’s coming from the operating level, which makes it much harder to cling to old talent practices.
Co-Creating the Employee Experience
by Lisa Burrell
Companies that are adopting agile talent practices are giving a lot of thought to how employees experience the workplace—in some ways, treating them like customers. Diane Gherson, the chief human resources officer at IBM, recently spoke with HBR about how that’s playing out as the iconic tech company revamps its business model. Edited excerpts follow.
HBR: In what sense is IBM putting employee experience at the center of people management?
GHERSON: Like a lot of other companies, we started with the belief that if people felt great about working with us, our clients would too. That wasn’t a new thought, but it’s certainly one we took very seriously, going back about four or five years. We’ve since seen it borne out. We’ve found that employee engagement explains two-thirds of our client experience scores. And if we’re able to increase client satisfaction by five points on an account, we see an extra 20% in revenue, on average. So clearly there’s an impact. That’s the business case for the change.
But it has required a shift in mindset. Before, we tended to rely on experts to build our HR programs. Now we bring employees into the design process, co-create with them, and iterate over time so that we meet people’s needs.
Diane Gherson, IBM’s head of HR
What does that look like in practice?
A good example is employee onboarding—the first process we took a very hard look at. We knew we wanted people to walk out thinking, “I’m superexcited I’m here, and I understand what I need to know to get going.” But we started too small. We approached it in a traditional way that made it all about the orientation class, all about the experience you have on your first day. Once we began asking new hires how their onboarding had gone, we heard things like “I didn’t get my laptop on time,” or “I couldn’t get my credit card in time to get to my first meeting,” or “I had problems accessing the internal network.” All those things affect how someone feels about having joined the company.
Once you realize that, the remit for the onboarding team becomes how people experience the whole process, end to end. To get it right, you have to work with a broader set of players. You bring in Security to make sure the ID badges are there. You bring in Real Estate to make sure people have a physical space and know where to go. You bring in Networking to make sure their remote access is up and running. All that is part of onboarding. It’s not just having a great meeting with a bunch of other new hires on your first day.
It took a while for us to understand that. You have to broaden your scope and stop thinking in silos in order to create a great employee experience.
How has IBM’s approach to learning and development changed?
People consume content on their phones and tablets now—they use YouTube and TED talks to get up to speed on things they don’t know. So we had to put aside our traditional learning-management system and think differently about education and development. Again, we brought in our Millennials, brought in our users, and codesigned a learning platform that is individually personalized for every one of our 380,000 IBMers.
It’s tailored by role, with intelligent recommendations that are continually updated. And it’s organized sort of like Netflix, with different channels. You can see how others have rated the various offerings. There’s also a live-chat adviser, who helps learners in the moment.
We measure HR offerings such as learning with a Net Promoter Score—the ultimate metric for an irresistible experience. Before, we used a classic five-point satisfaction scale. Even if someone rated you a 3.1, you ended up saying they were satisfied, whereas with Net Promoter, you have to be at the far end of the scale for it to mean anything, because you have to subtract all the detractors. It’s much harder to get that, and it gives you much better feedback on what people are experiencing. For learning, at last count, our NPS was 60. That’s in the “excellent” range, but of course there’s still room to improve.
What kinds of tools do you use to customize learning?
With Watson Analytics, we’re able to infer people’s expertise from their digital footprint inside the company, and we compare that with where they should be in their particular job family. The system is cognitive, so it knows you—it has ingested the data about your skills and is able to give you personalized learning recommendations. It tells you, “OK, you need to increase your depth in these areas—and here are the offerings that will help you do that.” You can then pin those or queue them up in your calendar for future learning. The system also looks at how close you may be to earning a digital badge, which we’ve started using in just the past couple of years to demonstrate which employees have applied skills. The tool then helps you achieve the badge by recommending specific webinars and internal and external courses. It’s all based on artificial intelligence. Skills inference is at about 96% accuracy at this point.
“People are less likely to resist change when they’ve had a hand in shaping it.”
How do you know that?
We used to have this laborious manual process of getting people to fill out skills questionnaires and having their managers sign off on them. But that gets outdated really fast. So we stopped doing that. Instead, leaders in particular job families or industries do spot checks on how well we are inferring. They interview employees and identify where they are, comparing that with what the inference was in our system.
IBM has given its performance management system an overhaul as well. How have employees been involved in that process?
As you know, performance management is kind of a lightning rod in most companies. Rather than do the typical thing—which would be to do some benchmarking, pull together a bunch of experts, come up with a new design, and pilot it—we decided to go all out and co-create it with our employees in a sort of extended hackathon. We used design thinking and came up with what you might describe as a “concept car”—something for people to test drive and kick the tires on, instead of just dealing with concepts. We did that in the summer of 2015 and implemented it across the company five months later. That’s the power of engaging the whole workforce—people are much less likely to resist the change when they’ve had a hand in shaping it.
To start the co-creation process, I blogged about it one day and said, “We’d love your input. If you hate it, we’ll start over, no problem. But we really want your thoughts.” We made a few videos about what we thought it might look like. I got 18,000 responses overnight. Fortunately, we had the technology to analyze it all and see what people liked and didn’t like.
At first some people said, “This is such a sham—you already know what you want to do.” But we explained that we really wanted to hear from them, and we got them into various discussion forums. It took a while, but I think we did turn them around. We kept communicating, saying, “OK, you liked this; you didn’t like that. And here are areas where you can’t seem to agree.” Meanwhile, we were putting together prototypes to show people.
I was clear up front that there were some ground rules. For example, we were not going to get rid of performance discussions, and we wanted pay-for-performance. But in general, it was wide open. The whole process took less time than most companies take to redesign their performance management programs, and we involved about 100,000 employees. Finally, we asked, “What do you want to call it?” Tens of thousands of people voted. We had three names in the end, and Checkpoint was selected.
Performance management can never be perfect. But your baby is never ugly. Our employees created their own program, and there is pride in that. You can see it in their ongoing blogs, where we ask them to talk about what’s working and what’s not and to tell us how we can improve the system. We’ve been doing that ever since we put it out there. Their overall message has been “This is what we wanted.” It was cited as the top reason engagement improved. People are getting much more feedback out of this system, in much richer ways. And more important, they are not feeling like spectators in our transformation; they are active participants.
“We’ve been able to swiftly detect problems and commit to doing something about them.”
How are you using “sentiment analysis” to further address employees’ needs?
Sentiment analysis is very helpful in a world where people are always commenting online. Our cognitive technology looks at the words people choose and picks up the tone. It identifies whether it’s positive or negative and then goes deeper, saying whether it’s strongly positive or strongly negative. In that way it’s almost like looking at music—seeing where there are very high notes or very low notes that are loud. It’s always behind our firewall, never external. It’s not looking at any of the information people pass around or at their e-mail content or browsing behavior. It’s just looking at tone in their blogs and comments inside the firewall.
With this approach you can pick up pretty quickly if there’s an area you need to dive into. We’ve been able to swiftly detect problems that are starting to brew and, more important, make a commitment to do something about them. This is the most exciting part of having a social platform to work with. We’ve had several examples of things we did wrong. Some of my folks decided we wouldn’t reimburse for ridesharing. Employees became agitated, and I could quickly respond to a concern that had turned into a petition. “I read all your comments,” I told them, “and you made some great points we hadn’t thought of. We were trying to look out for your security, but on balance, this wasn’t the right choice. Let’s return to our original policy.” All this happened within 24 hours. People felt listened to and were very appreciative.
We had a similar situation about a year ago. We had to impute income when you were traveling to a client site for a full week and, instead of returning home right away, you had your spouse or a friend join you for the weekend. Because we would reimburse the guest’s travel, it created a tax issue. We altered the program because that was getting messy, and again employees were incensed. I can certainly understand why. If you’re on the road all the time, of course you might want your spouse to join you for a weekend. People didn’t want us making the decision for them. That was another case where we quickly got together and said, “Hey, if they want to be responsible for their own taxes, they can do it.” It was a good wake-up call for us to not be so paternalistic.
In organizations where people aren’t physically all together, you can use sentiment analysis to get a sense of where you’ve got trouble spots, where your management isn’t strong enough, where groups of people are expressing negative opinions. It allows you to check in on those sites or groups and find out what’s going on.
Do employees have more power now than in the past?
Yes. So much more weight is now given to what is said inside an organization, because it can be heard outside as well, through social media. Glassdoor is a perfect example. In the past you might have had companies that weren’t great to work for, but only a small circle of people knew about it. Now the whole world knows about it, because it’s on Glassdoor—and that’s turned companies into glass houses. People can look in and see what’s going on and make judgments about whether they want to work there in a way that they weren’t able to before.
Let’s go back to the business reasons behind IBM’s shift to agile talent practices—can you say more about those?
I mentioned client satisfaction. Clients today are looking for speed and responsiveness like never before. In an earlier era what they really wanted was the best product at the best price—efficiency was important, but speed was less so.
In the early 2000s we would have staffed a project with experts from all over the world, and they would have spent a fraction of their time on that project, because they were also working on other projects. They would have joined conference calls, which is always hard because people are in different time zones. And I’m sure they were multitasking while they were on those calls. That project might have taken six months to a year. Now we would take a smaller group of dedicated people and put them together for three months, and they would get it all done using agile methodology. It’s a different way of thinking about how to create value for clients. It responds to their need for speed.
Is there some hope that an agile approach to talent will help IBM make up ground in revenue and growth that it lost in its transition to cloud computing and other businesses?
We’re a company that’s transforming itself: 45% of our revenue comes from businesses we were not in five years ago, and we are an $80 billion company. When you’re going through that kind of shift and seeing a downturn in some of your legacy businesses, and you’re renovating those while you’re launching new businesses, you may see some unevenness in performance. You’re basically changing the tires while you’re driving the car. And yes, that takes agility.
One Bank’s Agile Team Experiment
by Dominic Barton，Dennis Carey & Ram Charan
When web and mobile technologies disrupted the banking industry, consumers became more and more aware of what they could do for themselves. They quickly embraced what Ralph Hamers, CEO of the global banking group ING, calls “banking on the go.”
By 2014 about 40% of all interactions with ING retail customers were coming in through mobile apps. (Now the figure is closer to 60%—and branch visits and calls to contact centers have dropped below 1%.) Even then mobile customers expected easy access to up-to-date information whenever and wherever they logged in. For instance, someone who started a loan transaction during the train ride home from work wanted to be able to continue it on a desktop that night. “Our customers were spending most of their online time on platforms like Facebook and Netflix,” says Hamers. “Those set the standard for user experience.”
That meant ING needed to become nimbler and more user-focused to serve its 30 million–plus customers across the world at every point in their financial journeys. So Hamers worked with Nick Jue, then the CEO of ING’s Netherlands group, to launch a pilot transformation in the headquarters of ING’s largest unit, its Dutch retail operations. The first step was to help other senior leaders and the board envision a new agile, team-based system for deploying, developing, and assessing talent. (ING had already adopted agile and scrum methodologies in its Dutch IT unit, but those ways of working were new to other parts of the organization.) Hamers and his leadership team then met with people at tech companies they admired, learning how their talent systems enabled better customer service. By the spring of 2015 the headquarters of ING Netherlands, home to some 3,500 full-time employees, had replaced most of its traditional structure with a fluid, agile organization composed of tribes, squads, and chapters.
Tribes, Squads, and Chapters
Thirteen tribes were created to address specific domains, such as mortgage services, securities, and private banking. Each tribe contains up to 150 people. (Employees in sales, service, and support functions work outside this structure—in smaller customer-loyalty teams, for instance—but they collaborate with the tribes.) And each has a lead who establishes priorities, allocates budgets, and ensures that knowledge and insights are shared both within and across tribes.
The tribe lead has one other critical responsibility: to create, with input from tribe members, self-steering squads of nine or fewer people to address specific customer needs by delivering and maintaining new products and services. These squads are cross-disciplinary—typically, a mix of marketing specialists, data analysts, user-experience designers, IT engineers, and product specialists. One squad member is designated the “product owner,” responsible for coordinating activities and setting priorities. The squad stays together as long as is required to meet the customer need from start to finish—whether it is, for example, improving user experience on the mobile app or building a particular feature. Some tasks are completed in two weeks; others might take 18 months. Sometimes the squads disband and the members join other ones. Most often, however, squads that are working well stay together and move on to address other customer needs.
By working in such small units and with colleagues from various disciplines, squad members can quickly resolve issues that might previously have bounced from department to department. Information sharing is encouraged through mechanisms such as scrums and daily stand-ups—the kinds of gatherings you’d find at a tech start-up. Seeing a project through from start to finish gives each squad a sense of ownership and connection to the customer.
Implementing an agile talent system doesn’t mean embracing chaos. In fact, a system that’s well designed observes clearly defined rules and safeguards to ensure institutional stability. Every tribe, for example, has a couple of agile coaches to help squads and individuals collaborate effectively in an environment where employees are encouraged to solve problems on the ground rather than pass them on to someone else. Although you might think adapting would be most difficult for long-term bank employees, that’s not so, according to ING Netherlands CIO Peter Jacobs. Many of them “adapted even more quickly and more readily than the younger generation,” he says, perhaps because their expertise now has more impact than in the past, when so many sign-offs were required.
Working in small, cross-functional units, squads can resolve issues quickly.
Then there are the chapters, which coordinate members of the same discipline—data analytics, say, or systems processes—who are scattered among squads. Chapter leads are responsible for tracking and sharing best practices and for such things as professional development and performance reviews. Think of chapters as a way of retaining the helpful parts of traditional management even while dispensing with time-consuming handoffs and bureaucracy.
Regular assessments are built into the system. Every two weeks squads review their work. Says Hamers, “They get to decide how they will continue to improve the product for our customers, or if they want to ‘fail fast.’” (Learning from failure is applauded.) Squads also do a thorough self-assessment after completing any engagement, and tribes perform quarterly business reviews (QBRs), looking at their biggest successes and failures, reviewing their most important learnings, and articulating goals for the next three months.
These safeguards help counter what Vincent van den Boogert, the current CEO of ING Netherlands (and part of the team that launched the new organizational structure), sees as the two biggest challenges of a squad-based system. One is the possibility that self-empowered squads responding primarily to the needs of customers might embark on changes that aren’t in sync with company strategy. The QBRs mitigate that risk. The second challenge is somewhat counterintuitive. Self-evaluating squads are sometimes content with the incremental improvements they make every two weeks. The QBRs help in that regard, too, because top management uses them to formulate and reinforce stretch goals.
More than two years in, Hamers considers the talent experiment a big success. Customer satisfaction and employee engagement are both up, and ING is quicker to market with new products. So the bank has started to roll out this new way of working to the roughly 40,000 employees outside its home country. For Hamers, the change can’t come soon enough. The apps for each of ING’s 13 retail markets vary in appearance, design, and function. Hamers wants to make things much simpler so that any customer, anywhere, will encounter the same ING. “Tech companies have one platform across the globe,” he says. “No matter where you use Netflix, Facebook, or Google, you get the same service. ING must do the same. That is the only way we will bring all our customers along into the future of banking.”
为什么区块链招聘可能是未来的人力资源趋势Why blockchain for recruitment might be a future HR trend
区块链能否验证事实和交易？能否提高招聘效率和人力资源领导者的其他关注领域的效率？我们看看。
by Pam Baker
在人力资源和招聘工作中，有时候会觉得自己在玩弄两个事实和一个谎言 - 不知道谁在玩什么或什么时候玩。如果我们现在玩游戏，它会看起来像这样：区块链是确保准确性的突破。（真相）一些人认为区块链是未来人力资源重要趋势。（真相）。使用HR区块链的细节全部解决。（谎言。）
事实上，尽管在招聘和其他人力资源流程中使用区块链的承诺确实存在，但现实充满了复杂性。这里看看两者。
作为人力资源趋势的雷达上的区块链
区块链是由一系列经过验证的事实组成的分布式共享数字分类帐。这些事实可以是从金钱到信息的任何事物。作为记录保存的数字系统的一部分，每笔交易及其细节都经过验证，然后通过计算机网络进行记录。每个有权访问分布式分类账的人都会收到这些信息，并且各方在块之间被复制，共享和实体之间同步之前达成一致。区块链几乎不可能被篡改，因为每个信息块都会引用它之前的区块。
在这个信任既难以捉摸又高昂的时代，区块链的吸引力正在飙升，因为它提供了一种确认，验证和验证价值和事件的方式。这就是为什么多个垂直行业（如银行业，制造业和保险业）和多个业务横向行业（诸如会计，履行，供应链和运输等部门）被吸引到并且非常兴奋的地方 - 在他们的工作中使用区块链。
为什么区块链吸引人力资源专业人士
“很容易看出，如何能够确保个人教育或工作经历的细节 - 以及可能更多的个人事实 - 是不可改变的，这对人力资源部门来说非常有吸引力，”Carol Van Cleef说，与律师事务所Baker＆Hostetler合作，经常就金融科技问题向客户提供建议，包括区块链。
她说：“假设原始输入是准确的，重复验证相同信息的成本可能会显着降低，对结果的信心增加。”
鉴于近期工作性质发生了变化，这不是一项小任务 - 或者是小额费用。
企业软件供应商Workday的学习产品战略主管James Cross说：“十年前，求职者可能拥有一所或两所大学的学位，并明确定义了两三位以前雇主的长期职位。提供基于云计算的人力资本管理和金融云应用程序。“即便如此，验证员工的经验和教育费时费钱，通常在招聘流程结束时以及通过外包背景调查提供商进行，”他说。
Cross指出，在当今的商业环境中，招聘与过去截然不同。“一位候选人可能会有比以前更多的工作和更多样化的职业，个人和学习经历，”他说。
美国劳工统计局的调查结果证实了这一点。2016年，25至34岁的千年工人的平均工作年限为2。8年。这很重要。根据皮尤研究中心的资料，千禧一代现在是劳动力中最大的一代。教育也发生了巨大变化，现在更难追踪和验证。
“候选人可能曾为一家经营人才市场的雇主工作，或者已经完成了几次轮岗'职责之旅' - 一路获得技能，知识和反馈，”克罗斯说。“他们也可能已经完成了按需在线培训，并获得了徽章或数字凭证，甚至可能为多家雇主开展了'演出'。”
这只是为了初学者。考虑到人力资源是一项数据密集型功能，区块链可以在部门范围内拥有更多的应用程序。
Baker＆Hostetler的Van Cleef在区块链上提供了一些关于人力资源趋势的警告。她说：“我们在建立区块链技术和这个术语涉及的所有领域都处于非常早期的阶段。“对于像HR这样的数据密集型功能来说，潜力可能并不是真正的无限，但实际用途将会非常多。”
教育验证可能是人力资源首次使用区块链
由于人员及其背景可能如此复杂，因此在招聘过程中使用区块链有一些棘手的因素。要让区块链技术成为一份坚实的履历或无可置疑的就业历史，谁在每个区块贡献和验证数据是关键。在某些用途中，如教育验证，这些问题的答案相对简单。非常如此，一些大学已经为他们的学生提供了这些数据块。这不仅是您在那里找到的成绩和学位。
“在区块链的世界里，成绩单是防篡改的，基本上是由发行机构签署的，我们已经为卡尔加里大学的学生做了这个，允许他们在他们的”cocurricular record“上放上志愿者职位，然后我们“卡尔加里大学计算机科学教授，以及上周在旧金山举行的RSA 2017区块链非金融应用的发言人Thomas P. Keenan解释说。
工作时间，达到目标以及由此产生的工资和奖金都是雇主和员工的有用记录，获得的奖金记录对未来的就业机会也是有利的。
机构之间共享教育数据也很简单。
“另一个很大的优势是降低成本，”基南说。他说：“我们花时间检查来自国外大学和大学本身的申请人的证书。用于验证机构的区块链注册将大大消除这一繁重的任务。”
然而，人力资源专业人士可能希望以区块链形式提供这些信息，以打击欺诈行为，从而降低验证流程的成本。
Keenan说：“虽然大学成绩单通常具有较高的认证水平，但我可以告诉你，我们已经看到一些完全虚假的成绩单，在遥远的国家被编造出来并被认为是真实的。”
事实上，欺诈性教育索赔在外包时期猖獗，并且仍然对在多个国家运营的公司构成问题，因为这些公司有时难以跨地域同步信息，并且将学位与学位的差异等同起来。
区块链可能有助于建立此信息，然后为将来可能需要此信息的公司保留该信息。此外，区块链有可能追踪员工从工作到工作，并为员工提供快速可靠的手段，以提供教育证书并快速聘用。
记录工作历史中的问题
验证教育是一回事，记录就业历史的细微差别是另一回事。
“虽然你可以对特定事情进行核查，例如申请人是否拥有学位，但是很难有独立咨询或合同工作经验的明确公式，或者在工作时可以清楚地了解职位的头衔是什么意思即使它们属于同一行业，甚至在不同业务中也会有所不同，“Saba Software Inc.产品和合作伙伴市场营销高级总监Paul Ardoin表示，该公司生产依赖机器学习的基于云的人才管理应用程序。
验证历史数据也会遇到问题。
Ardoin解释说：“公司或教育机构在收购中失业或被吞并，可能根本没有这些信息，或者它可能是一个挑战，找到合适的人。” 如果我们试图以追溯的方式记录职业道路，“这将会导致人力资源部门和他们尝试招聘的人们头痛数十年，”他说。
简而言之，这表明从现在起为就业目的构建区块链比回溯并建立完整的过去记录更实际。反过来，对于许多员工来说，区块链只会是部分就业纪录。
另一个棘手问题是应用程序跟踪系统的广泛使用，或者更具体地说，人力资源依靠关键字对申请人进行分类。尽管自动化对人力资源有帮助，但对于申请人来说，这往往是一个障碍，他们随后写出多个版本的简历来触发各种工作中的特定关键字搜索。在当前的区块链概念中，申请人不太可能这样做，而招聘公司可能错过伟大的人才。
HR使用区块链与法律，隐私问题
SAP公司人力资源副总裁Bianca McCann表示：“当然，这种[长期员工记录保存]可以在法律和数据隐私的背景下加以考虑。
例如，现在有些地方向候选人询问过去的工资或当前的年龄是违法的。但是，这些信息可以存储在区块链中，根据就业相关用途的发展情况以及围绕隐私的概念如何发展，求职者的私人信息可能会在未经他人许可的情况下被访问。这引发了许多问题。例如，如果招聘组织在区块链中查看某些信息，是否承担法律风险？或者，潜在雇主是否可以访问这些信息，对不想放任它的员工构成真正的风险？
另一方面，区块链在招聘过程中成为人力资源趋势在某些情况下可能是双赢的。
“在需要确保正常工作许可并促进海外安全支付的国际招聘方案中，区块链的可信安全可以帮助雇主和员工，”技术和管理Keyrus的首席顾问Hannah Curtis说。该公司最近发布了区块链连接器。
工作时间，达到目标以及由此产生的工资和奖金都是雇主和员工的有用记录，获得的奖金记录对未来的就业机会也是有利的。
“在候选人被聘用后，区块链智能合约可能会对员工的工资，福利和退休计划产生影响，例如，在另一个事件（例如根据达到既定目标收到奖金）的情况下，编码并通过智能合约自动触发，“柯蒂斯说。
智能合约 - 帮助促进和管理数字流转移的计算机协议是资产 - 存储在区块链中。
她说：“这对自由职业者和承包商职位来说特别有用，因为智能合约可以确保只为完成的工作付款。”
区块链作为人力资源趋势开始显而易见
虽然大多数专家都认为区块链将在某些时候被人力资源部门用于招聘和管理目的，但这还不是一种常见的甚至趋势的做法。还有很多细节需要解决。
“与财务应用程序不同，招聘，简历或工作经历没有任何目前可信的历史情景，”Saba Software的Ardoin说。
这意味着人力资源使用区块链技术可能仅限于验证和记录教育和培训 - 至少，起初是如此。
Ardoin说：“ 黑白分布式分类账方法在跟踪公司和非正式学习和培训时仍然是一个有用的模型。“我们已经在Learning Record Stores（一种数字教育资料库）中看到了这种功能，同样存在一些挑战 - 例如支持新类型的内容，并确保非正式学习得到适当的评估 - 但是实施区块链学习应用程序比处理简历和作业历史记录的细微差别要简单得多。
以上由AI翻译完成，仅供参考。HRTechChina呈现
Working in HR and recruitment can sometimes feel like playing a game of two truths and a lie -- without knowing who's playing or when. If we were playing the game now, it would look something like this: Blockchain is a breakthrough in ensuring accuracy. (Truth.) Some see blockchain as an important future HR trend. (Truth.) The details of using blockchain for HR are all resolved. (Lie.)
Indeed, while the promise of using blockchain for recruitment and other HR processes does exist, the reality is filled with complexities. Here's a look at both.
Blockchain on the radar as an HR trend
A blockchain is a distributed, shared digital ledger made up of a trail of validated facts. These facts can be anything from money to information. As part of this digital system of record keeping, each transaction and its details are validated and then recorded across a network of computers. Everyone who has access to the distributed ledger receives this information, and the parties agree on the accuracy before the block is replicated, shared and synchronized among the entities. A blockchain is virtually impossible to tamper with since each block of information references the block before it.
In an age when trust is both elusive and held at a high premium, blockchain's appeal is soaring since it presents a way to confirm, validate and authenticate both values and events. This is why multiple verticals (such as banking, manufacturing and insurance) and multiple business horizontals (departments such as accounting, fulfillment, supply chain and shipping) are drawn to -- and very excited about -- using blockchain in their work.
Why blockchain appeals to HR professionals
"It is easy to see how the idea of being able to ensure [that] the details of one's educational or work experience -- and potentially more personal facts -- are immutable could be very attractive to HR offices," said Carol Van Cleef, partner with law firm Baker & Hostetler, which regularly advises clients on fintech issues, including blockchain.
"Costs associated with repetitive verifications of the same information could be reduced significantly and confidence in the results increased, assuming the original input was accurate," she said.
That's no small task -- or small expense -- given how much the nature of work has changed recently.
"Ten years ago, a job candidate may have had a degree from one or two universities and clearly defined long-term roles with two or three previous employers," said James Cross, director of learning product strategy at Workday, an enterprise software vendor that offers cloud-based human capital management and financial cloud-based applications. "Even then, verifying an employee's experience and education was time-consuming and expensive, typically happening right at the end of the hiring process and through an outsourced background check provider," he said.
Cross points out that in today's business landscape, recruitment is quite different than in the past. "A candidate is likely to have had more jobs and a more diverse tapestry of career, personal and learning experiences than previously," he said.
Findings from the U.S. Bureau of Labor Statistics bear this out. In 2016, the average job tenure for millennial workers ages 25 to 34 was 2.8 years. This is significant. According to Pew Research Center, millennials now make up the largest generation in the labor force. Education, too, has changed drastically and now is much harder to track and validate.
"Candidates may have worked for an employer that operates a talent marketplace or have completed several rotational 'tours of duty' -- gaining skills, knowledge and feedback along the way," Cross said. "They may also have completed on-demand online training, and been awarded badges or digital credentials. And they may even have worked 'gigs' for several employers."
And that's just for starters. Considering HR is a data-intensive function, blockchain could have many more applications within the department's scope.
Baker & Hostetler's Van Cleef offers some caveats on blockchain as fledgling HR trend. "We are at a very early stage in the build-out of blockchain technology and all that the term involves," she said. "For data-heavy functions like HR, the potential may not be truly unlimited, but practical uses will be numerous."
Education verification likely the first blockchain use for HR
Because people and their backgrounds can be so complicated, using blockchain in the recruitment process has some tricky elements. For blockchain technology to work as a solid resume or unquestionable employment history, the question of who contributes and who verifies the data in each block is key. In some uses, such as education verification, the answers to those questions are relatively straightforward. So much so, that some universities are already providing these data blocks for their students. And it isn't only grades and degrees you'll find there.
"In a blockchain world, the transcripts would be tamperproof and, basically, signed by the issuing institution. We already do this for our students at the University of Calgary by allowing them to put volunteer positions on their 'cocurricular record,' which we then certify for them," explained Thomas P. Keenan, M.A., professor of Computer Science at the University of Calgary and a presenter on nonfinancial uses of the blockchain at RSA 2017 in San Francisco last week.
Time worked, goals met, and resulting pay and bonuses due and paid are useful records for both the employer and the employee, and a record of earned bonuses could be a plus for future employment opportunities, too.
The sharing of education data between institutions is potentially straightforward, too.
"Another great advantage will be cost reduction," Keenan said. "We spend time checking the credentials of applicants from foreign universities, and the universities themselves. A blockchain registry to validate institutions would go a long way to eliminating this onerous task," he said.
HR professionals, however, are likely to want this information in blockchain form as much to combat fraud as to cut costs in the verification process.
"While college transcripts usually carry a high level of authentication, I can tell you that we have seen some totally bogus ones, fabricated in faraway countries and submitted as authentic," said Keenan.
Indeed, fraudulent education claims were rampant at the height of outsourcing and still pose problems for companies operating in multiple countries where it is sometimes difficult to sync information across geographies and to equate differences in degrees and schools.
Blockchains could be helpful in establishing this information and then preserving it for companies that may need this information in the future. In addition, a blockchain has the potential to follow an employee from job to job and provide a fast and reliable means for that employee to present education credentials and get hired quicker.
Problems in documenting work history
Verifying education is one thing, documenting the nuances of employment history is quite another.
"While you can check off boxes on specific things like if the applicant has a degree, it's harder to have a definite formula for things like experience in independent consulting or a contract job, or a clear understanding of what titles for jobs mean when they can even vary from one business to another, even if it's the same industry," said Paul Ardoin, senior director of product and partner marketing at Saba Software Inc., which makes cloud-based talent management applications that rely on machine learning.
There are problems with validating historical data to contend with, as well.
"Companies or educational institutions that have gone out of business or been gobbled up in an acquisition may simply not have the information available, or it may be a challenge getting to the right person," explained Ardoin. If we attempt to document career paths retroactively, "it will cause headaches for decades for both HR departments and the people [who] they try to recruit," he said.
In short, this indicates that it is more practical to build blockchains for employment purposes from this point forward than it is to backtrack and build a complete past record. In turn, for many employees, a blockchain would only be a partial employment record.
Another thorny issue is the widespread use of applicant tracking systems, or more specifically, HR's reliance on keywords to sort applicants. While automation is helpful to HR, it's often an obstacle to applicants, who then resort to writing multiple versions of their resume to trigger specific keyword searches in various jobs. It would be unlikely that applicants could do that in the current conceptions of blockchain, and hiring companies may miss out on great talent.
HR's use of blockchain vs. legal, privacy issues
"Of course, this [long-term employee record keeping] would be something to consider in context of laws and data privacy," said Bianca McCann, vice president of HR at SAP.
Right now, for example, it's illegal in some places to ask a candidate their past wages or current age. But such information could be stored in a blockchain and, depending on how its employment-related use develops and how concepts of privacy surrounding that develop, the jobseeker's private information could potentially be accessed without his or her permission. This raises a number of questions. For example, if a hiring organization views certain information in a blockchain, is it taking a legal risk? Or, could a potential employer's access to this information pose a real risk to the employee who did not wish to indulge it?
On the other hand, blockchain becoming an HR trend in the hiring process could be win-win in certain scenarios.
"The trusted security of blockchain can additionally assist both employers and employees when it comes to international hiring scenarios where there is a need to ensure proper work permits and facilitate secure payments overseas," said Hannah Curtis, principal consultant at Keyrus, a technology and management firm that recently released blockchain connectors.
Time worked, goals met, and resulting pay and bonuses due and paid are useful records for both the employer and the employee, and a record of earned bonuses could be a plus for future employment opportunities, too.
"After candidates are hired, blockchain smart contracts could have an impact on employee wages, benefits and retirement packages, as well. As an example, any benefit contingent on another event, such as receiving a bonus based on hitting a set target goal, could be encoded and automatically triggered via a smart contract," said Curtis.
Smart contracts -- computer protocols that help to facilitate and manage the transfer of digital currents are assets -- are stored in a blockchain.
"This is particularly useful in the case of freelance and contractor positions where smart contracts could ensure payment only for completed work," she said.
"Unlike financial applications, recruiting, resumes or job histories don't have any current scenarios in which the history is currently trusted," said Saba Software's Ardoin.
What this means is that HR's use of blockchain technology will likely be confined to verifying and documenting education and training -- at least, at first.
"The black-and-white distributed ledger approach can still be a useful model when tracking corporate and informal learning and training," Ardoin said. "We're already seeing this kind of functionality within Learning Record Stores (a form of digital education repository). Again, there are challenges -- such as supporting a new type of content, and making sure that informal learning is properly valued --but the implementation of a blockchain for learning applications is much more straightforward than dealing with the nuances of resumes and job histories."
Future of Work
2018年02月21日
Future of Work
人工智能如何改变人才获取 How Artificial Intelligence Is Changing Talent Acquisition现在大家都在关注招聘AI，并就如何改变招聘方式进行了大量的讨论。招募人工智能是下一代软件，旨在改进或自动化招聘工作流程的某些部分。
作者：Ji-A Min
人工智能对招聘的兴趣已经由三大趋势引发
经济的改善：最近的经济收益创造了一个候选人驱动型市场，这使得人才竞争比以往更加激烈。这一竞争只会继续增加 - LinkedIn调查的 56％的人才招聘领导者认为他们的招聘数量将在2017年增长。
对更好技术的需求：虽然人才招聘预计会增加，但是66％的人才招聘负责人表示他们的招聘团队将保持相同规模甚至缩小规模。这意味着时间有限的招聘人员需要更好的工具来有效地简化或自动化他们的工作流程的一部分，理想情况下用于最耗时的任务。
数据分析的进步：随着技术变得快速和成本效益足以收集和分析大量数据，人才招聘领导者越来越多地要求他们的招聘团队展示基于数据的雇佣质量指标，如新员工的表现和营业额。
人工智能在招聘中越来越受欢迎，这为招聘人员提高他们的能力提供了令人兴奋的机会，但同时也存在很多关于如何最佳利用人才的困惑。
为了帮助您理解这一切，以下是招聘人工智能最有前途的三个应用程序。
应用＃1：AI用于候选人采购
候选人采购仍然是一个主要的招聘挑战：最近的一项调查发现，46％的人才招聘领导表示他们的招聘团队正在为吸引合格的候选人而奋斗。
候选人采购人工智能技术可以搜索人们离线的数据（例如简历，专业投资组合或社交媒体档案），以找到符合您工作要求的被动候选人。
这种用于招聘的AI可以简化采购流程，因为它可以同时搜索多个候选人来源。这取代了自己手动搜索它们的需求，并可能节省每个请求的小时数。您节省采购的时间可以用来吸引，预选和面试最强大的候选人。
应用#2：人工智能进行候选人筛选
当您收到的75-88％的简历不合格时，很容易明白为什么简历筛选是招聘中最令人沮丧和耗时的部分。对于零售和客户服务等大批量招聘，大多数招聘团队没有时间手动筛选他们每个公开角色收到的数百到数千份简历。
AI筛选旨在自动执行简历筛选流程。这种智能筛选软件通过使用岗位聘用数据（例如业绩和营业额）为新申请人提供招聘建议，为ATS增添了功能。
它通过应用所学到的关于现有员工的经验，技能和其他资质的信息来自动筛选和评分新候选人，从而提出这些建议。这种类型的技术还可以通过使用关于以前的雇主和候选人的社交媒体档案的公共数据源来丰富简历。
AI进行简历筛选可实现低价值，重复性任务，并允许招聘人员将时间重点放在更高价值的优先事项上，如与候选人交谈并与其进行交流以评估他们的适合度。
应用＃3：AI用于候选人匹配
与采购相比，候选人匹配可能是一个更大的挑战：52％的招聘人员表示，他们工作中最难的部分是从大型申请人池中确定合适的人选。
用于候选人匹配的AI使用一种算法来识别打开的请求的最强匹配。匹配算法分析候选人的个性特征，技能和工资偏好等多种数据来源，根据工作要求自动评估候选人。
例如，LinkedIn求职公告通过将求职者描述中的技能与其LinkedIn个人资料中的申请人技能进行匹配来对候选人进行排名。人才市场使用匹配算法来匹配候选人社区以开放角色。这些人才市场通常迎合特定的候选技能，如软件开发或销售。
人工智能匹配用于从那些已经加入并且正在积极寻找新角色或者对新机会非常开放的人中找出最合格的候选人。这意味着招聘人员不需要浪费时间来吸引那些对新角色不感兴趣的被动应聘者。
关于人工智能的力量，让候选人与工作岗位相匹配的不同观点，请参阅“ 尽管您阅读或听取的内容，采购活动和确实如此”。
AI和招聘的未来
专家预测人工智能招聘会转变招聘人员的角色。由于低价值，耗时的招聘任务通过人工智能技术变得简化和自动化，招聘人员的角色有可能变得更具战略性。
了解AI如何提高其能力的招聘人员将通过在采购，简历筛选和候选人匹配方面节省几十个小时，从而提高效率。
人工智能招聘承诺释放招聘人员与候选人交流的时间，以确定合适人选，并确定候选人的需求并希望说服他们担任角色。它有可能授权他们与招聘经理和人才招聘领导者合作，根据未来增长和收入计划积极的招聘举措，而不是反应性回填。
了解如何最好地利用这项新技术的招聘人员将获得更高的KPI，如更高的招聘质量和更低的营业额。
以上由AI翻译完成。供参考
How Artificial Intelligence Is Changing Talent Acquisition
AI for recruiting is on everyone’s mind these days with a lot of talk on how it’s going to transform recruiting. Artificial intelligence for recruiting is the next generation of software designed to improve or automate some part of the recruiting workflow.
Interest in AI for recruiting has been sparked by three major trends:
The improving economy: The recent economic gains have created a candidate-driven market that’s made competing for talent tougher than ever. This competition will only continue to increase – 56% talent acquisition leaders surveyed by LinkedIn believe their hiring volume will grow in 2017.
The need for better technology: Although hiring is predicted to increase, 66% of talent acquisition leaders state their recruiting teams will stay the same size or even shrink. This means time-constrained recruiters need better tools to effectively streamline or automate a part of their workflow, ideally for tasks that are the most time-consuming.
The advancements in data analytics: As technology becomes fast and cost-effective enough to collect and analyze vast quantities of data, talent acquisition leaders are increasingly asking their recruiting teams to demonstrate data-based quality of hire metrics such as new hires’ performance and turnover.
The growing popularity of AI for recruiting represents exciting opportunities for recruiters to enhance their capabilities but there’s also a lot of confusion about how to best leverage it.
To help you make sense of it all, here are the three most promising applications for AI for recruiting.
Application #1: AI for candidate sourcing
Candidate sourcing is still a major recruiting challenge: a recent survey found 46% of talent acquisition leaders say their recruiting teams struggle with attracting qualified candidates.
AI for candidate sourcing is technology that searches for data people leave online (e.g., resumes, professional portfolios, or social media profiles) to find passive candidates that match your job requirements.
This type of AI for recruiting streamlines the sourcing process because it can simultaneously search through multiple sources of candidates for you. This replaces the need to manually search them yourself and potentially saves you hours per req. The time you save sourcing can be spent attracting, pre-qualifying, and interviewing the strongest candidates instead.
Application #2: AI for candidate screening
When 75-88% of the resumes you receive are unqualified, it’s easy to see why resume screening is the most frustrating and time-consuming part of recruiting. For high-volume recruitment such as retail and customer service roles, most recruiting teams just don’t have the time to manually screen the hundreds to thousands of resumes they receive per open role.
AI for screening is designed to automate the resume screening process. This type of intelligent screening software adds functionality to the ATS by using post-hire data such as performance and turnover to make hiring recommendations for new applicants.
It makes these recommendations by applying the information it learned about existing employees’ experience, skills, and other qualifications to automatically screen and grade new candidates. This type of technology can also enrich resumes by using public data sources about previous employers and candidates’ social media profiles.
AI for resume screening automates a low-value, repetitive task and allows recruiters to re-focus their time on higher value priorities such as talking and engaging with candidates to assess their fit.
Application #3: AI for candidate matching
Candidate matching can be an even bigger challenge than sourcing: 52% of recruiters say the hardest part of their job is identifying the right candidates from a large applicant pool.
AI for candidate matching uses an algorithm to identify the strongest matches for your open req. Matching algorithms analyze multiple sources of data such as candidates’ personality traits, skills, and salary preferences to automatically assess candidates against the job requirements.
For example, a LinkedIn job posting ranks candidates by matching the skills on your job description to applicants’ skills on their LinkedIn profiles. Talent marketplaces use matching algorithms to match their community of candidates to open roles. These talent marketplaces usually cater to specific candidate skill sets such as software development or sales.
AI for matching is used to identify the most qualified candidates from those who have opted-in and are either actively looking for a new role or are very open to a new opportunity. This means recruiters don’t need to waste time trying to attract passive candidates who just aren’t interested in a new role.
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