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4 Steps to Manage Remote Workers

A Gartner, Inc. survey of 229 HR leaders on April 2 revealed that nearly 50% of organizations reported 81% or more of their employees are working remotely during the coronavirus pandemic. Another 15% of those surveyed said 61-80% of employees are working remotely at this time. The Gartner survey showed that many workers are planning to work remotely more often in the future.

“While 30% of employees surveyed worked remotely at least part of the time before the pandemic, Gartner analysis reveals that post-pandemic, 41% of employees are likely to work remotely at least some of the time,” said Brian Kropp, Chief of Research for the Gartner HR practice. “Ultimately, the COVID-19 pandemic has many employees planning to work in a way that they hadn’t previously considered.”

In the current environment, many employees are working remotely for the first time and are now doing it full-time. In tandem, managers are having to direct remote employees and teams, and many of them have never managed remote workers.

To help organizations manage remote talent during the COVID-19 pandemic, Gartner recommends four steps:

Normalize Self-Direction

Gartner analysis finds that two-fifths of remote employees want more self-directed work. Managers must trust their employees and shift away from directing their work to coaching them to success. To do this, managers should focus on employees’ work product and outputs rather than processes.

Enable New Relationships

The Gartner ReimagineHR Employee Survey, fielded in 4Q19, revealed that 41% of respondents don’t feel connected to colleagues when working remotely and 26% of employees feel isolated when they work remotely. Managers must work with HR to learn signs of distress so that they can recognize them among their direct reports and colleagues.

“Organizations have been very pragmatic and have done well adapting to the new normal from a technology standpoint,” said James Atkinson, VP in the Gartner HR practice. “Now managers need to step in and help their employees build social and emotional connections to ensure individuals feel connected to their colleagues and the organizations, and to help teams continue to work together seamlessly.”

Accentuate the Positive

Employees working fully remotely are nearly twice as likely to receive corrective feedback — which focuses on behavior that was not successful — most often. To promote two-way communication, managers should focus on making discussions with remote employees open, evidence-based and forward-looking. Managers should also make sure to acknowledge what is going right while citing specific examples

Revamp Team Expectations

Many leaders have assumed the majority of people working remotely are individual contributors, however, Gartner analysis shows that fully remote employees are 3.5 times more likely to work across five or more teams. It is crucial for managers to set expectations with individual team members and the larger team to ensure effective individual contributions and team collaboration. Managers should also emphasize individual and team objectives in these conversations.

“While the majority of organizations are not currently hiring, nor are the majority of workers actively seeking new jobs, organizations do need to consider how they are managing their workforce,” said Mr. Kropp. “If companies are not thinking through the employee experience they are creating, they could face significant attrition when the labor market opens back up.”

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4 Steps to Manage Remote Workers

A Gartner, Inc. survey of 229 HR leaders on April 2 revealed that nearly 50% of organizations reported 81% or more of their employees are working remotely during the coronavirus pandemic. Another 15% of those surveyed said 61-80% of employees are working remotely at this time. The Gartner survey showed that many workers are planning to work remotely more often in the future.

“While 30% of employees surveyed worked remotely at least part of the time before the pandemic, Gartner analysis reveals that post-pandemic, 41% of employees are likely to work remotely at least some of the time,” said Brian Kropp, Chief of Research for the Gartner HR practice. “Ultimately, the COVID-19 pandemic has many employees planning to work in a way that they hadn’t previously considered.”

In the current environment, many employees are working remotely for the first time and are now doing it full-time. In tandem, managers are having to direct remote employees and teams, and many of them have never managed remote workers.

To help organizations manage remote talent during the COVID-19 pandemic, Gartner recommends four steps:

Normalize Self-Direction

Gartner analysis finds that two-fifths of remote employees want more self-directed work. Managers must trust their employees and shift away from directing their work to coaching them to success. To do this, managers should focus on employees’ work product and outputs rather than processes.

Enable New Relationships

The Gartner ReimagineHR Employee Survey, fielded in 4Q19, revealed that 41% of respondents don’t feel connected to colleagues when working remotely and 26% of employees feel isolated when they work remotely. Managers must work with HR to learn signs of distress so that they can recognize them among their direct reports and colleagues.

“Organizations have been very pragmatic and have done well adapting to the new normal from a technology standpoint,” said James Atkinson, VP in the Gartner HR practice. “Now managers need to step in and help their employees build social and emotional connections to ensure individuals feel connected to their colleagues and the organizations, and to help teams continue to work together seamlessly.”

Accentuate the Positive

Employees working fully remotely are nearly twice as likely to receive corrective feedback — which focuses on behavior that was not successful — most often. To promote two-way communication, managers should focus on making discussions with remote employees open, evidence-based and forward-looking. Managers should also make sure to acknowledge what is going right while citing specific examples

Revamp Team Expectations

Many leaders have assumed the majority of people working remotely are individual contributors, however, Gartner analysis shows that fully remote employees are 3.5 times more likely to work across five or more teams. It is crucial for managers to set expectations with individual team members and the larger team to ensure effective individual contributions and team collaboration. Managers should also emphasize individual and team objectives in these conversations.

“While the majority of organizations are not currently hiring, nor are the majority of workers actively seeking new jobs, organizations do need to consider how they are managing their workforce,” said Mr. Kropp. “If companies are not thinking through the employee experience they are creating, they could face significant attrition when the labor market opens back up.”

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Rapid AI adoption and the unique ways AI workloads operate is redefining the scope and structure of what these teams must deliver. This shift is forcing organizations to rethink how they manage scale, automation, and control, according to The State of SRE and Platform Engineering 2026, a new report from Dynatrace ...

AI is usually talked about as a software tool, but it also depends heavily on the network behind it. Whether a company is using AI for chatbots, automation, monitoring, analytics, or employee support, all of that information has to move across the network in a reliable and secure way. That means AI is not just an application decision. It is also an infrastructure decision. Before organizations rush into AI, they should ask a simple question: Is our network ready to support it? ...

Enterprise AI often lacks governed access to where business processes actually execute. Without that access, AI agents may be able to reason, but they cannot operate reliably across enterprise workflows. For AI agents to effectively carry out workflows, they will require integration-layer context and controls. Organizations can implement these prerequisites by providing AI with managed access to the middleware layer ...

Enterprise networks rarely behave the same way for very long. A routing adjustment in one region may unexpectedly alter application performance in another. A cloud migration may introduce hidden dependencies that go unnoticed until an outage occurs. All the while, the network is managed by several different teams, each of whom use different tool sets — and as a result, have different views of the network ... There’s usually an engineer who remembers why traffic fails over a certain way between sites, or which transparent firewall was added where. The problem is that human memory cannot scale alongside enterprise-scale networks ...

Ask an infrastructure team how confident they are in their ability to govern AI, and most will tell you they've got it handled. A recent survey of 406 IT decision-makers and platform engineering leaders found 86% expressing exactly that confidence. Ask the same group whether they have a formal written AI governance policy, and the number drops to 30%, according to Spacelift's Infrastructure Automation Report ...

In MEAN TIME TO INSIGHT Episode 27, Shamus McGillicuddy, EMA VP of Research, Network Infrastructure and Operations, and Parker Hathcock, EMA Research Director covering IT Service/Operations (ServiceOps), discuss observability unification in modern IT operations ... 

Virtual Private Networks became a cornerstone of enterprise security at a time when corporate infrastructure looked very different from today ... For years, this model worked well. But the architecture behind VPNs assumed a centralized corporate environment—one where the network itself was the hub of activity. In a cloud — first world, that assumption no longer holds ...

Website outages get resolved just as fast in August as they do in November. I went looking for the opposite: the summer slowdown everyone assumes is there once the people who fix things are away. It isn't in the data we collected, covering 1.8 million confirmed outages across tens of thousands of websites ...

This year, many of the cloud infrastructure contracts signed in the early days of the AI boom will come up for renewal. As the year goes on, I anticipate we'll see a significant amount of cloud vendor swapouts and multi-cloud adoption, and the reason isn't just GPU depreciation. It's because they're tired of their current cloud providers ...

There's a moment the many observability teams have experienced days into bringing a new service into production: you realize that the vendor's claims of "intelligent" behavior included a large serving of hype. Their dashboards look nice until they don't, the failure modes are a black box, and no one on the team can confidently explain why the system did what it did at 2 am. Agentic AI is about to force every Ops team to relive that moment at web-scale until they start treating these systems as the dependencies they actually are ...