2024 年员工监控趋势
2023 has been quite a ride for technology enthusiasts, with AI dominating a good amount of debates and conversations. It has also been a year where organisations have looked to improve upon their operational workflows in the backdrop of different working setups.
但有一点始终未变,或者说在各种讨论中变得更加深刻,那就是确保出色的工作效率。因此,使用正确的员工监控解决方案就显得尤为重要。
As enterprises strive to improve workplace productivity, they must be aware of what's transpiring in the employee monitoring space going into 2024.
事情正在向好的方向发展!
1.关注隐私
According to Gartner, large organisations will dedicate more than $2.5 million annually to ensure privacy in the face of evolving regulations. The consulting giant also predicts that privacy regulations will guard 75% of the world population's personal data by 2024.
In the employee monitoring space, this has a significant bearing. The concept of employee surveillance has always been a matter of profound discourse across continents. That's why we see various regulations like GDPR in Europe and CCPA in the USA governing how organisations use employees' data. And this is understandable, considering the several security implications associated with the housing of sensitive data. There's also the "employee consent" element that needs to be considered here.
那么,随着数据法规的日益普及和严格,在员工监控领域可以期待什么呢?我们可以从两个方面来看待这个问题:
The strategic perspective in how organisations go about their employee monitoring activities
The technology perspective that takes into account the underlying technical infrastructure and how it lends security support to the surveillance initiatives
战略视角
在运营战略方面,更多的组织将倾向于:
制定全面的政策,考虑到员工监控的法律和道德限制
Involving employees in discussions about monitoring productivity. Fostering trust and transparency will be key here because employees would want their personal data to be private, and understandably so. In a recent survey, about 93% of employees displayed concern about their personal data in the face of distributed working models. Although this survey was specific to India, it would be safe to assume that this is, in fact, a reflection of what's ahead for the world.
寻求外部专家咨询,以评估员工监督措施是否符合不断变化的法规要求
定期审查全面提高生产率的情况,以了解这种做法是否奏效,以及需要改进哪些方面,以确保数据的隐私性
技术视角
云计算与内部部署的争论已持续多年。在大多数情况下,由于云计算在灵活性、可扩展性、可访问性等方面的多重优势,内部部署解决方案已经退居次席。
However, there's a growing trend of organisations now preferring on-premise solutions for use cases where sensitive data is involved. To substantiate this further, we've seen some of our clients and potential clients inclining towards CleverControl On-Premise — a full-blown employee monitoring platform with all the functionalities of its cloud counterpart.
之所以有这种倾向,是因为内部部署允许企业在内部存储数据,并制定具体的信息处理策略。当企业在医疗保健、金融等高度受监管的行业运营时,通常更适合采用这种解决方案。
这并不是说云部署就不重要。事实上,多年来它们一直是首选解决方案,而且使用云驱动的员工监控程序的入门门槛相当低。但是,一些企业也开始探索内部部署方案,这可能是 2024 年 IT 基础架构的必然趋势。
2.更细致入微的生产力洞察力
This year, Microsoft announced the integration of Copilot (the Generative AI solution) with the Microsoft Power Platform. The Power Platform constitutes a variety of apps associated with coding, website creation, etc.
不过,为了保持当前讨论的针对性,让我们重点讨论其中一个应用程序,即 Power BI。这是一个流行的商业智能解决方案。Copilot 对 Power BI 的介绍意味着两件事:
- 用户只需通过语句/问题描述他们所寻求的见解,Power BI 就会立即呈现最相关的数据。
- Copilot 将为企业实施的分析计划创建高度定制的摘要和报告。
现在,我们来看看员工监控领域。企业总是希望通过减少时间和精力的浪费来提高运营效率。他们已经有了员工监控解决方案,可以根据生产模式提出见解。但现在,他们可以做到事半功倍。
现在,企业可以用自然语言与该工具互动,寻求高度具体的见解(以可视化的形式),并通过该工具集思广益,制定战略计划,例如,进一步提高员工的工作效率。
有鉴于此,下面举例说明一些可能很快发生的情况:
- Imagine engaging with the employee monitoring tool in natural language and being very specific with your queries—for example—"What are the productivity improvements for Team A in October as compared to September and August?"
- 试想一下,监控解决方案会自动对生产率飙升或时间被盗发出警报,并同时说明可能发生这种情况的原因。无需手动配置!
- 想象一下,只需点击一下按钮,就能为不同部门创建超个性化的生产力报告。
事实上,可能性是多方面的。当然,这并不意味着这个领域会完全按照上述场景发展。一切都将取决于用户的需求,以及 Gen AI 如何在现有技术条件下解决这一问题。不过,有一点是明确的:会有很多增值。
For the sake of optimism, this prediction from McKinsey is one to abide by:
"Generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analysed—by comparison, the United Kingdom's entire GDP in 2021 was $3.1 trillion."
3.改善员工体验的渐进式监控
The good thing about employee surveillance today is that it's not just about bringing forth a set of performance metrics and basing every decision on that. In our conversations with C-level executives, we have seen them realise and relay that there may be different reasons for low productivity—professional and personal. They also consider how the workplace models have changed over the past two or three years. And so, not everything needs to be the same.
那么,渐进式监控在未来会如何发展呢?
实时反馈共享
Safe to say, the annual, bi-annual, and even quarterly reviews are losing their sheen in the face of real-time feedback mechanisms. The employee monitoring solutions today facilitate extensive data analysis. Through the help of AI, they can also aid in predictive analytics. Such insights can easily inform what improvements need to be made and where employees have performed well.
利用这些洞察力与员工进行实时对话,是营造透明和激励氛围的关键。这样一来,员工监督在员工眼中就不再是一项枯燥乏味的工作。相反,他们会将其视为一种可行的干预措施,以激发自身的最佳潜能。
尝试非传统方法
At the start of this year, we published a study about an extra day off helped increase employee productivity by 5%. We surveyed several of our clients who experimented with the 4-day workweek to understand if they had seen any potential improvements that the media has been raving about. The findings were intriguing. In fact, one of the clients reported the active time to have increased to 79% from 71% within one week of implementation.
在整个实验过程中,CleverControl 都发挥了重要作用,因为我们的客户通过分析解决方案上记录的活动和非活动时间,记录了所有生产率的提高。
实验结束时,许多企业都注意到生产率有了显著提高。在监控解决方案的支持下,这项实验为深入了解什么对员工最有效铺平了道路。
展望未来,随着员工监控解决方案日趋完善,企业将有更大的余地来研究不同的设置是否能很好地吸引和激励员工。对于那些主动进行这种尝试的企业来说,这将为 2024 年及以后的渐进式监控铺平道路。
结束语
A lot can be thought of in terms of the employee monitoring trends that can transpire over the next few years. Technological interventions like predictive analytics, Generative AI, facial recognition, and more are already making their way into surveillance solutions. But there is also the qualitative side, where organisations need to ensure that their internal policies are in line with what their employees expect, especially in the face of distributed working models.
Striking a balance between the two will help enterprises leverage the potential of new-age employee monitoring solutions in amplifying productivity to a great extent.
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