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Hybrid work - why measuring it?

Network Perspective | Passive listening | What is ONA?‍

Network Perspective video on how our platform enables people leaders with advanced workplace insights.

Social collaborative learning has always been an important asset for businesses – however, the way we approach peer 2 peer collaboration has changed due to COVID and the introduction of hybrid work. Despite having the right digital tools that offer great social learning possibilities, employees fail to engage due to digital overload.

We recently discussed the four pillars of ethics and trust in Workplace Analytics – privacy, security, eliminating bias, and people impact. In this article, we’d like to further discuss how – by recognizing these four elements – you can safeguard employee data and build their trust. We discuss examples of use cases and some of the best Workplace Analytics implementations below – use them as inspiration for your own project!

If you’re considering implementing Workplace Analytics software at your business (or are looking for a more ethical way to process employee data), it’s important to check whether it abides by the four pillars mentioned above. Your PA platform needs to respect privacy, secure data to prevent breaches, eliminate biases, and genuinely impact your people in a positive way.

Deep work and multiple context time are two metrics that let you assess productivity and perceived sustainability among employees. They are best analyzed jointly, as they give you an overview of the deep work/multiple context work time and point to any areas that require improvement.

Depsite the fact that many industries were forced to cut costs amidst the recession, the Workplace Analytics market was spared from this scenario. Namely, according to a study by Red Thread Research, it has witnessed a 35% annual growth rate between 2019 and 2020.

Company workload during the pandemic often translates to longer working hours. For some employees, with no office environment, the line between work and free time begins to blur. As a result, they suffer from significant overload, including those of physical, emotional, and informational nature.

It’s hard to imagine our lives without Internet access and mobile phones. We’ve grown accustomed to being constantly interrupted both at home and at work. Lack of time for deep work, however, has a negative impact on productivity – an issue which has brought more concern now that most businesses have moved to remote work models. We took a look at how the length of deep work streaks impacts employee productivity and how you can measure them for your business.

While leaders are empowered to make business decisions and to manage people, they lack the right resources i.e. tools and data that would enable them to do it effectively. Employee data is still frequently perceived as the domain of HR – access to it, however, is still limited. This perception has to change, company leadership has to gain access to predictive and prescriptive data that will help them effectively operate in the fast-changing business world.

One of the biggest challenges while working in a hybrid environment is staying innovative and sharing knowledge. Why is that? Hybrid teams tend to create silos, which results in less peer-to-peer interactions with people from various teams across the organization. Science suggests that this can have a negative impact on a company’s innovativeness.

The ability to focus on cognitively demanding tasks is the most important team productivity factor. In fact, as noticed by Cal Newport, “deep work is like a super power in our increasingly competitive twenty-first century economy. And yet, most people have lost the ability to go deep – spending their days instead in a frantic blur of e-mail and social media, not even realizing there's a better way”. In addition, what we’ve seen during the pandemic is that a (wrongly executed) remote work model can have a detrimental effect on our teams’ productivity levels.

65% of workers said that meetings keep them from completing their own work.

What companies are doing in passive listening and what results they observe?