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IT Leadership: Measuring Employee Experience in a Post-COVID World

Nik Koutsoukos

I'm an old-school advocate for employee experience. For years, my colleagues and I have urged (and cajoled, and begged) business leaders to take the subject seriously. We've argued that engaged and well-supported workers are the cornerstone of business success — and that nothing kills productivity quicker than when people can't rely on the tools they need to do their jobs. That message has been getting through. It's been gratifying to see more and more C-suites prioritize measuring employee experience in recent years. And then … COVID-19 hit.

You can understand why many employee experience initiatives got put on the back burner. It's hard enough just to keep a business running during a pandemic. But when most of your workforce suddenly shifts to work-from-home, understanding employee experience becomes more important, not less. Not to mention that, for many businesses, large portions of the workforce will continue working remotely long after the COVID-19 crisis subsides.

Bottom line, "work" means something very different than it did a year ago. If we're going to give people the support they need to thrive in this new normal, we need to rethink employee experience: what we measure, how we measure it, and what we can ultimately do about it.

Accelerating Longstanding Trends

For many of the changes we've seen — like huge growth in remote work and digital collaboration — COVID-19 didn't so much create new models as kick pre-existing trends into high gear. The fact is, work has been growing more decentralized, and IT has been steadily losing control of business infrastructure, for years. Just look at the major IT trends of the last decade:

■ Core business applications moving from on-premises data centers to cloud-based software-as-a-service (SaaS)

■ Dominant connectivity models shifting from Ethernet to Wi-Fi

■ Explosive growth in mobile and remote work, often using devices outside IT control

Even if you care about deeply about employee experience, it's much harder to measure than it was back when everybody worked in the office, and all applications and networks and devices were controlled by IT. If employees are having issues, just figuring out where to look becomes much tougher. The challenge grows exponentially when most of your workforce shifts to full-time work-from-home, practically overnight.

At this point, businesses need to put aside the deep metrics about application performance and start from ground zero: Can my remote employees actually do their jobs? How are they feeling? Do they have the bare minimum they need to be productive?

Measuring the Right Things

If you're in human resources — or really, any executive leadership role in your organization — it's important to step back and look at employees holistically. We advocate measuring well-being across five broad categories:

The basics: When companies are scrambling to react to an unexpected crisis, it's easy to get caught by surprise. All of a sudden, you need to ask different kinds of questions:
- Do my employees have the equipment they need?
- Not just a working laptop, but a good monitor and keyboard?
- A comfortable chair?
- A place they can work that's free from noise and distractions?
- A fast and reliable network connection that can support video conferencing?

These aren't the kinds of things most companies have had to worry about before. But they're essential to employee well-being, so they need to be on your radar.

User experience: Assuring a quality digital experience is relatively easy when everyone works in the corporate office. But if COVID-19 has taught us anything, it's that we need our employees to be ready to work from anywhere, anytime. You're better off thinking proactively about assuring digital experience, rather than waiting to react to the next big disruption.

What are the core applications that each employee needs to do his or her job? Can they access those tools from home and use them as effectively as in the office? You'll need more granular monitoring tools to find out. It's not enough to know, for example, that a home user can connect to the Internet. Can they access all the apps they need reliably all day long? If not, why?

Connectivity: Traditionally, most businesses treated remote work connectivity as a "best-effort" scenario. When you're remote, you do the best you can. If you need business-class connectivity — guaranteed bandwidth under a service-level agreement (SLA), managed Wi-Fi, state-of-the-art performance monitoring — you come into the office. That's no longer an option for millions of workers.

So, it's more important than ever for IT to be able to look deeply into every user's connection and troubleshoot problems all the way into home networks. For many connectivity issues, the problem lies with the user's home network or local Internet service provider (ISP).

But, even if you can't fix the problem, you can tell users what's wrong and what they can do about it. Sometimes, that might be, "Your ISP is having issues and it could be a while. Focus on offline work for now" That's a lot better than hours of frustrated users and wasted IT effort trying to diagnose a problem they can't solve.

Device: Along those lines, it's more important than ever to understand what's happening on the employee's device. For many problems, the cause is just a lack of memory or CPU power in older hardware. The good news is that those are among the easiest problems for IT to solve. But, if you're not monitoring all the way to the device, it will take a lot longer to zero in on that.

Applications and services: Businesses need to be able to look outward when measuring employee experience, as well as inward. Yes, you need to know how employees' devices and network connections are performing. But, you should also be keeping tabs on your SaaS applications and cloud services. If, for example, Microsoft Office 365 is having slow performance across the southwestern United States, it sure would be useful for IT to know that before they spend hours trying to diagnose the problem.

Eliminating the Guesswork

The truth is, the list of issues outside IT's control keeps getting longer. But, that makes visibility even more important. When you have hard data about what your people are actually experiencing, you can:

■ Hold your SaaS and Internet providers accountable

■ Empower employees (and reduce their frustration) by quickly diagnosing problems in their own devices and home networks that they can fix themselves

■ Quickly identify problems beyond IT's control, so they can focus their time on tasks where they can make a real difference

We're all still adjusting to the challenges of a post-COVID world. But, when your business relies on a remote workforce every day, just knowing what's happening out there can be hugely beneficial.

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As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

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IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

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Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

IT Leadership: Measuring Employee Experience in a Post-COVID World

Nik Koutsoukos

I'm an old-school advocate for employee experience. For years, my colleagues and I have urged (and cajoled, and begged) business leaders to take the subject seriously. We've argued that engaged and well-supported workers are the cornerstone of business success — and that nothing kills productivity quicker than when people can't rely on the tools they need to do their jobs. That message has been getting through. It's been gratifying to see more and more C-suites prioritize measuring employee experience in recent years. And then … COVID-19 hit.

You can understand why many employee experience initiatives got put on the back burner. It's hard enough just to keep a business running during a pandemic. But when most of your workforce suddenly shifts to work-from-home, understanding employee experience becomes more important, not less. Not to mention that, for many businesses, large portions of the workforce will continue working remotely long after the COVID-19 crisis subsides.

Bottom line, "work" means something very different than it did a year ago. If we're going to give people the support they need to thrive in this new normal, we need to rethink employee experience: what we measure, how we measure it, and what we can ultimately do about it.

Accelerating Longstanding Trends

For many of the changes we've seen — like huge growth in remote work and digital collaboration — COVID-19 didn't so much create new models as kick pre-existing trends into high gear. The fact is, work has been growing more decentralized, and IT has been steadily losing control of business infrastructure, for years. Just look at the major IT trends of the last decade:

■ Core business applications moving from on-premises data centers to cloud-based software-as-a-service (SaaS)

■ Dominant connectivity models shifting from Ethernet to Wi-Fi

■ Explosive growth in mobile and remote work, often using devices outside IT control

Even if you care about deeply about employee experience, it's much harder to measure than it was back when everybody worked in the office, and all applications and networks and devices were controlled by IT. If employees are having issues, just figuring out where to look becomes much tougher. The challenge grows exponentially when most of your workforce shifts to full-time work-from-home, practically overnight.

At this point, businesses need to put aside the deep metrics about application performance and start from ground zero: Can my remote employees actually do their jobs? How are they feeling? Do they have the bare minimum they need to be productive?

Measuring the Right Things

If you're in human resources — or really, any executive leadership role in your organization — it's important to step back and look at employees holistically. We advocate measuring well-being across five broad categories:

The basics: When companies are scrambling to react to an unexpected crisis, it's easy to get caught by surprise. All of a sudden, you need to ask different kinds of questions:
- Do my employees have the equipment they need?
- Not just a working laptop, but a good monitor and keyboard?
- A comfortable chair?
- A place they can work that's free from noise and distractions?
- A fast and reliable network connection that can support video conferencing?

These aren't the kinds of things most companies have had to worry about before. But they're essential to employee well-being, so they need to be on your radar.

User experience: Assuring a quality digital experience is relatively easy when everyone works in the corporate office. But if COVID-19 has taught us anything, it's that we need our employees to be ready to work from anywhere, anytime. You're better off thinking proactively about assuring digital experience, rather than waiting to react to the next big disruption.

What are the core applications that each employee needs to do his or her job? Can they access those tools from home and use them as effectively as in the office? You'll need more granular monitoring tools to find out. It's not enough to know, for example, that a home user can connect to the Internet. Can they access all the apps they need reliably all day long? If not, why?

Connectivity: Traditionally, most businesses treated remote work connectivity as a "best-effort" scenario. When you're remote, you do the best you can. If you need business-class connectivity — guaranteed bandwidth under a service-level agreement (SLA), managed Wi-Fi, state-of-the-art performance monitoring — you come into the office. That's no longer an option for millions of workers.

So, it's more important than ever for IT to be able to look deeply into every user's connection and troubleshoot problems all the way into home networks. For many connectivity issues, the problem lies with the user's home network or local Internet service provider (ISP).

But, even if you can't fix the problem, you can tell users what's wrong and what they can do about it. Sometimes, that might be, "Your ISP is having issues and it could be a while. Focus on offline work for now" That's a lot better than hours of frustrated users and wasted IT effort trying to diagnose a problem they can't solve.

Device: Along those lines, it's more important than ever to understand what's happening on the employee's device. For many problems, the cause is just a lack of memory or CPU power in older hardware. The good news is that those are among the easiest problems for IT to solve. But, if you're not monitoring all the way to the device, it will take a lot longer to zero in on that.

Applications and services: Businesses need to be able to look outward when measuring employee experience, as well as inward. Yes, you need to know how employees' devices and network connections are performing. But, you should also be keeping tabs on your SaaS applications and cloud services. If, for example, Microsoft Office 365 is having slow performance across the southwestern United States, it sure would be useful for IT to know that before they spend hours trying to diagnose the problem.

Eliminating the Guesswork

The truth is, the list of issues outside IT's control keeps getting longer. But, that makes visibility even more important. When you have hard data about what your people are actually experiencing, you can:

■ Hold your SaaS and Internet providers accountable

■ Empower employees (and reduce their frustration) by quickly diagnosing problems in their own devices and home networks that they can fix themselves

■ Quickly identify problems beyond IT's control, so they can focus their time on tasks where they can make a real difference

We're all still adjusting to the challenges of a post-COVID world. But, when your business relies on a remote workforce every day, just knowing what's happening out there can be hugely beneficial.

The Latest

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...