IT Leadership: Measuring Employee Experience in a Post-COVID World
January 25, 2021

Nik Koutsoukos
Catchpoint

Share this

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.

Nik Koutsoukos is CMO, Strategy & Product Leader, at Catchpoint
Share this

The Latest

June 01, 2023

The journey of maturing observability practices for users entails navigating peaks and valleys. Users have clearly witnessed the maturation of their monitoring capabilities, embraced DevOps practices, and adopted cloud and cloud-native technologies. Notwithstanding that, we witness the gradual increase of the Mean Time To Recovery (MTTR) for production issues year over year ...

May 31, 2023

Optimizing existing use of cloud is the top initiative — for the seventh year in a row, reported by 62% of respondents in the Flexera 2023 State of the Cloud Report ...

May 30, 2023

Gartner highlighted four trends impacting cloud, data center and edge infrastructure in 2023, as infrastructure and operations teams pivot to support new technologies and ways of working during a year of economic uncertainty ...

May 25, 2023

Developers need a tool that can be portable and vendor agnostic, given the advent of microservices. It may be clear an issue is occurring; what may not be clear is if it's part of a distributed system or the app itself. Enter OpenTelemetry, commonly referred to as OTel, an open-source framework that provides a standardized way of collecting and exporting telemetry data (logs, metrics, and traces) from cloud-native software ...

May 24, 2023

As SLOs grow in popularity their usage is becoming more mature. For example, 82% of respondents intend to increase their use of SLOs, and 96% have mapped SLOs directly to their business operations or already have a plan to, according to The State of Service Level Objectives 2023 from Nobl9 ...

May 23, 2023

Observability has matured beyond its early adopter position and is now foundational for modern enterprises to achieve full visibility into today's complex technology environments, according to The State of Observability 2023, a report released by Splunk in collaboration with Enterprise Strategy Group ...

May 22, 2023

Before network engineers even begin the automation process, they tend to start with preconceived notions that oftentimes, if acted upon, can hinder the process. To prevent that from happening, it's important to identify and dispel a few common misconceptions currently out there and how networking teams can overcome them. So, let's address the three most common network automation myths ...

May 18, 2023

Many IT organizations apply AI/ML and AIOps technology across domains, correlating insights from the various layers of IT infrastructure and operations. However, Enterprise Management Associates (EMA) has observed significant interest in applying these AI technologies narrowly to network management, according to a new research report, titled AI-Driven Networks: Leveling Up Network Management with AI/ML and AIOps ...

May 17, 2023

When it comes to system outages, AIOps solutions with the right foundation can help reduce the blame game so the right teams can spend valuable time restoring the impacted services rather than improving their MTTI score (mean time to innocence). In fact, much of today's innovation around ChatGPT-style algorithms can be used to significantly improve the triage process and user experience ...

May 16, 2023

Gartner identified the top 10 data and analytics (D&A) trends for 2023 that can guide D&A leaders to create new sources of value by anticipating change and transforming extreme uncertainty into new business opportunities ...