• Quality of Hire
    报告显示:雇佣质量与企业营收增长呈显著正相关 前言:在企业的成长方程式中,“人”始终是最关键却最难量化的变量。过去我们常说“招对人比多招人更重要”,但始终缺乏一个能用数据验证的标准。如今,Crosschq提出的QHI雇佣质量指数(Quality of Hire Index),首次用公开数据证明了一个明确的结论:雇佣质量与企业营收增长呈显著正相关。研究显示,QHI每提升1分,企业营收平均增长0.14%;提升18分,营收增长可超2%。这不仅让“招聘质量”从模糊的HR指标,转化为可以驱动利润的战略指标,也意味着——在智能化与数据化的时代,“招对人”正成为企业最确定的增长杠杆。 在人才成为企业最稀缺资源的时代,很多管理者都在追问同一个问题:“什么样的招聘,才能真正带来业务增长?”过去,这个问题的答案充满主观判断;而如今,Crosschq提出的**“QHI雇佣质量指数(Quality of Hire Index)”,第一次用数据给出了明确的量化解释——“招对人”与企业营收增长呈显著正相关。** 一、什么是QHI:让“好雇佣”变得可量化 QHI(Quality of Hire Index)由人才分析公司Crosschq团队开发,通过对2020年至2025年间在《财富500强》企业入职的4,354,540名员工的LinkedIn数据进行建模,建立了一套系统的“雇佣质量”评分体系。 它从三个关键维度衡量新员工在组织中的表现: Enrollment(入职稳定):新员工在3个月与12个月内的留任情况; Commitment(长期承诺):入职两至三年后的持续留任率; Achievement(成就表现):入职三年内的晋升、学历提升及同事认可。 通过这三项指标的加权,Crosschq将复杂的人才行为转化为一个0–100的标准化指数(QHI),使得企业能用数据衡量自己“是否真的在招对人”。 二、核心发现:每提升1分QHI,营收平均增长0.14% 研究结果令人震撼: QHI每提升1分,企业营收增长平均提升0.14%。 对于《财富500强》公司而言,这相当于约1,876,000美元的年度营收增长。 若一家企业的QHI提升18分,则其营收增长率可提升2%以上,意味着平均可增加约33,768,000美元的收益。 更进一步,研究还发现: QHI与企业的Glassdoor员工口碑评分呈正相关(r=0.43),表明“招得好”的公司往往“员工也更愿意留下来”; QHI与营收增长的相关系数为0.15,虽然数值不高,但在大样本下呈现显著统计意义,说明“雇佣质量”对企业业绩增长的影响是可量化的、可持续的。 换句话说:QHI越高,企业越能用正确的人才驱动增长。 三、行业对比:科技领先,零售垫底 QHI研究同时揭示了不同产业间的显著差异: QHI最高的行业包括科技(软件、半导体、信息基础设施)、生物医药与投资管理。这些行业的人才门槛高、培养体系成熟、晋升路径清晰; QHI最低的行业则集中在餐饮、零售和酒店业,普遍面临高流动率与低投入培训的挑战。 从企业榜单来看,Meta、Microsoft、Adobe、ServiceNow、Workday、NVIDIA等公司凭借数据驱动的招聘与成长体系位居前列。而传统零售巨头如CVS、Costco、Sam’s Club,则在QHI表现上明显落后。 这表明,不同行业的“人才机制成熟度”直接影响着企业的增长潜力。 四、为什么QHI值得重视:从HR指标到增长杠杆 长期以来,“雇佣质量”被视为HR的内部指标,而非企业经营指标。Crosschq的研究首次打破了这一隔阂—— 当人才数据可以预测营收变化时,招聘就不再是人事事务,而是企业战略。 在传统财务体系中,企业追踪销售增长率、利润率、现金流,却鲜少衡量“人力资本的质量回报”。而QHI为管理层提供了一个新的财务语言: CFO可以量化“人力投资回报率”; CEO可以用QHI判断组织的增长潜力; HR则能以数据证明自身工作的商业价值。 QHI让招聘从“支出”变为“投资”,让“人”成为企业增长的可控变量。 五、未来启示:AI招聘的“质量校准器” 随着生成式AI与预测模型进入招聘流程,QHI的意义更加深远。未来的AI招聘系统,不仅能识别技能匹配,更能通过QHI模型预测候选人的长期成功率与潜在产出。企业也能基于QHI建立自己的“人才增长仪表盘”,动态监测: 哪类岗位的雇佣质量最高; 哪个团队的入职留任率最强; 哪种招聘渠道带来更高绩效员工。 从此,“雇佣质量”不再模糊,而成为一个实时可追踪、可优化的企业竞争指标。 六、从招人到造势,QHI是一场企业文明的升级 QHI的价值在于,它用科学方法揭示了一个显而易见却长期被忽视的事实: 企业的增长速度,取决于你能否持续地“招对人”。 当招聘质量可以被数据量化、与营收挂钩,HR终于拥有了直接影响利润的“话语权”。未来的领先企业,不再只是资本和市场的赢家,而是能够用数据驱动人才决策的组织。 因为,最持久的竞争力,从来都不是产品或技术,而是那群被你“正确雇佣”的人。
    Quality of Hire
    2025年11月03日
  • Quality of Hire
    Will Chatbots Take Over HR Tech? Paradox Sets The Pace. 在快速发展的人力资源技术领域,Paradox.ai 已成为领跑者,其先进的对话式人工智能平台彻底改变了招聘流程。通过利用自然语言处理和人工智能,Paradox.ai 提供了一个全面的解决方案,涵盖了从最初的职位申请到入职的整个招聘过程。该平台不仅简化了筛选和面试安排等繁琐流程,还提升了应聘者的整体体验,显著改善了招聘时间和招聘质量指标。 Paradox.ai 由亚伦-马托斯(Aaron Matos)于 2016 年创立,目前为联合利华、CVS Health 和通用汽车等大客户提供服务,实现了 90% 以上的招聘流程自动化。 Paradox.ai 凭借其强大的集成能力和大幅缩短招聘时间、降低招聘成本的能力,在人力资源技术领域充分体现了对话式人工智能的变革力量。 Chatbots used to be tinker-toys. You type, try to get help, but usually result in “please call support.” Well all this has changed. Thanks to advanced NLP (natural language processing) and AI (retrieval-augmented generation) chatbots are entire applications. They can answer complex questions, search databases, and invoke transactions on your behalf. Pretty soon we’ll be able to ask our phones “please find me a flight to Los Angeles next Tuesday morning” and the system will check your location and calendar, look at flights, and book you a seat. Where is this going in HR? Well the leader in this space is Paradox.ai, a company that pioneered the application of conversational AI in recruiting. And their system “defines the category.” Let me explain. Recruiting Is The Perfect Market For Conversational AI Recruiting is a goldmine for automation. When you post a job, applicants want to ask many predictable things: “How much does it pay?” “What are the hours?” or “What uniform do I need” or “What are the benefits?” The recruiter, a person devoted to filling positions, has to answer all these questions and more. They have to screen candidates, schedule interviews, check for qualifications, and look at credentials, experience, and more. It’s time-consuming, error-prone, and filled with wasted time. (That’s why talent acquisition teams have many “scheduler” and admins.) The average “time to hire” is over 45 days and often the process goes on for months. And throughout the experience the job seeker is left wondering “when will they call back” or “what else do I need to know?” (CEOs cite hiring as the third most time-wasting process in companies, following emails and meetings, estimated at “40% wasted time.”) Paradox uses Conversational AI to solve this problem. And because this is a “narrow but deep” space, the system does many things we can learn from in all our AI efforts. Paradox was founded by Aaron Matos in 2016. Aaron’s vision was to transform the candidate experience, revolutionizing the way candidates apply to jobs. Today Paradox has become a complete Conversational AI Recruitment Platform (chat to apply, scheduling, candidate support, ATS, assessments, onboarding, career site, and more), serving clients like Unilever, CVS Health, Pfizer, L’Oreal, Nestle, McDonald’s FedEx, Compass Group, Disney, and General Motors. The platform automates tasks such as screening for requirements, interview scheduling, reminders, offers, and new hire onboarding. And because it’s so easy to use, it helps companies radically improves time-to-hire and quality of hire. Based on my conversations with clients, Paradox can automate more than 90% of the end-to-end hiring process, saving hiring managers hours every week and increasing candidate conversion by more than 10 times. But this innovation did not happen overnight. As you know, going to a candidate website and looking for a job is a frustrating process. There are often hundreds of jobs listed, a complex scrolling website and very hard to even determine what job to apply for. You might argue that the website paradigm for job applications was never really a good idea in the first place. People don’t want to browse for jobs: they want to apply for a job that’s best for them. So the first thing Paradox did was create an easy to use assistant (Olivia) so candidates could ask questions and schedule interviews. And this meant that Paradox had to build integrations with every ATS and personal email and calendar tools out there. Then, as companies started to use Paradox for scheduling, the company added more. Today Olivia, the chatbot, can integrate with background check vendors, schedule interviews, deliver assessments (Paradox acquired a conversational assessment Traitify designed for this), and function as an ATS … all from a mobile phone. In many ways Paradox can be “the integration platform” for candidates and recruiters, stitching together the messy systems behind the scenes. This turned into a massive opportunity. Just as the Google Assistant or Siri hopes to be our single contact with the internet, Paradox partners with systems of record like Workday, SAP, and Oracle to bring conversational AI to any company. The company’s revenues have grown 11 times in the last four years, and are now nearly doubling each year. For customers Paradox has been amazing. As the candidate pipeline speeds up (by an order of magnitude), clients get higher quality candidates with dramatically reduced staff. (Staffing administrators can almost go away.) Consider high-volume hiring companies. These businesses (McDonald’s, Compass Group, Neighborly, FedEx, Disney) hire service-related workers on a regular basis. Their revenue is dependent on having enough people. With Paradox they can set up a “continuous recruitment process,” one that even hires people the same day they apply. Paradox has become essential to these companies growth, often paying for itself in less than a year (through reduced hiring staff, reduced spend on job ads, and reduced turnover.) Today, as Paradox built out its ATS, customers can rely on the platform to integrate front end tool (job portals and candidate support) to back end tools scheduling, ATS, onboarding) most of which are legacy. One of our clients has 27 recruiting tools and they anticipate replacing more than half of them with a platform like Paradox. What about higher level white collar roles? Paradox works here too. General Motors uses Paradox along with Workday (ATS), (branded Evie) to redesign the process. Interview Scheduling: Evie automates scheduling of phone screens and interviews between recruiters, candidates, and internal teams. This has reduced the time taken for interview scheduling from an average of five days to 29 minutes. Candidate Experience: Evie interacts with candidates from the moment they land on GM’s career site until the completion of their interview. Candidates appreciate the immediate communication from Evie after they apply or complete an interview, and enjoy the autonomy to select and change interview times. Efficiency and Cost Savings: The automation of interview scheduling has led to a major reduction in the cost of external contractors for coordination. Career Site Interaction: Evie sits on GM’s career site, answering questions from potential candidates about jobs, benefits, and company culture. This interaction enhances the candidate’s experience and provides them with immediate responses to their queries. Where Is Paradox Going The company is perfectly positioned to continue its growth as companies look for AI solutions to improve the productivity and effectiveness of recruiting. And demand is high: the 2024 PwC CEO survey found that recruiting was considered the #3 “most bureaucratic process” by CEOs (following email and meetings). The impact on recruiters? All positive. Clients tell us they can redeploy hiring staff to help recruiters focus on the most important part of their job: talking with candidates. But there’s a much bigger story. When a job candidate is handled efficiently and effectively the process becomes a brand-builder for the candidate, improving quality of hire. Ambitious job seekers will not put up with (or wait for) a messy, confusing hiring process. So not only is the process faster and more efficient, the quality of hire goes up. Companies are desperately looking for AI solutions that work. As Paradox has proven, when you focus deeply on the problem, conversational AI can be transformational. Listen to my conversation with Adam Godson (CEO) and you’ll hear the details. This is where the HR Tech market is going.
    Quality of Hire
    2024年04月04日