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The Past, Present and Future of DEX

Tim Flower

Over the last 20 years Digital Employee Experience has become a necessity for companies committed to digital transformation and improving IT experiences. In fact, by 2025, more than 50% of IT organizations will use digital employee experience to prioritize and measure digital initiative success.

However, it is still often an unsung hero of IT with employees feeling its absence but not always appreciating its reach.

Let's take a look back at life before DEX, how we can define DEX and what the future of DEX looks like. A Look Back at the IT Horrors I started my career in technology in the late 80s — long before the idea of remote work or the availability of the internet right in your pocket. It was essentially the IT Dark Ages. Automation in EUC was in its infancy, and visibility into the technology being used was non-existent. This meant when something would break, IT wouldn't know, sometimes for weeks, until employees started calling into the helpdesk.

Technology projects would take months to complete out of fear of breaking machines. A product rolloutnwould be done in multiple, slow phases to ensure that there was built in time for the helpdesk to catch on to an issue. Of course, that also meant if a ticket wasn't created IT worked under the assumption thateverything was fine — something we know today is never the case.

Inevitably, there would be at least one wide scale outage that every team in IT would disavow knowledge of. Regardless, that team would be required to attend the lengthy escalation call while every service tower investigated "their stack" to verify that it wasn't their problem to solve. It was a time of trial-and-error troubleshooting, or looking at diagnostic tools that had no bearing on the problem. But more so, it was a period of wasted time — time that could have been used to push innovation forward, work on something to move business priorities forward or even just take a longer lunch. Before DEX, wespent so much time passing off blame to the network team, or server, Citrix, or SCCM teams. We did the best with what we had, but the world has changed so much since then. But think about your existing environment. If you don't have DEX capabilities, I could be describing your world TODAY, not 20 years ago!

Defining Digital Employee Experience

I've seen many definitions of DEX, but true Digital Employee Experience is the process and IT discipline that focuses on positive outcomes for employees rather than the mere success of provisioning technology. The best outcome of a DEX operation is that IT can finally disconnect the dependency on the employee to report issues, and can manage the environment based on facts, data, and reality — a more accurate portrayal of what is happening behind the scenes than what is received via ticketing system.

In addition, by focusing on improving speed and quality of services delivered with definitive measures and accuracy, costs can be controlled more precisely than just cutting line items from the budget.

DEX is still a fairly new discipline with different vendors taking liberties and infusing their own meaning into the definition to make sure their capabilities are part of the conversation, which can be very confusing to buyers.

For example, is the ability to manage the VDI environment to a deep technical level a requirement for DEX? The VDI management vendors believe so, but DEX is not a hypervisor platform management tool. From a technology consumer side, I also think there's a misunderstanding of the impact that employee sentiment can provide to augment IT's understanding of the business and employees they support. Many customers view employee feedback and sentiment as a nice-to-have and maybe something they'll look at "later", but those that have come to use it regularly see it as a must-have. 

The use of DEX, however, is up to the customer. I have seen many different case studies of how DEX was used to solve complex or elusive problems from improving collaboration with application teams to making acquisitions a bit easier.

The Next 20 Years of DEX

With AI more available than ever before, it is safe to say next gen AI models will propel DEX forward at a staggering rate. While AI has been in the background of some DEX solutions already, the innovations in the technology will bring in even deeper analysis and insights across even larger data sets faster than previously possible. This is a momentous time for technology as AI, linked with automation, is truly ready to change the game. Similar to the invention of the internet, the ubiquitousness of AI is both exciting and frightening. While some people fear it will take away jobs, others know it is about adapting not replacement. Of course, with any change to the way we work there is a learning curve and many enterprises today struggle to define how to adopt AI in a meaningful way.

Additionally, we can expect DEX to become more employee-facing, allowing employees to interact directly with technology to get information and insights that will likely even bypass the need for an application front end. And when you link it with augmented reality, the possibilities are endless.

We've come a long way since 2004. Work is what you do, not where you go. For many that work is now fully digital, and having a proactive IT organization no longer sets you apart. It isn't "a nice to have" but a must have, and if you haven't made the change yet you are falling behind. Coupled with AI, DEX's reach will only continue to grow with its impact being even more apparent. I've had the opportunity to witness these changes in real-time, experiencing the highs and lows of working in IT. And while as a customer I adopted DEX at a very early stage, it's something I wish I had been aware of even earlier. I often think of all the headaches and business impacting events we could have avoided. So, my advice to you is this: Embrace new technology and assess its viability for you as early as you can. Don't be afraid to push the limits of what is possible.

The Latest

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

Enterprises operate different combinations of workloads across cloud, hybrid and multicloud environments. For business-critical workloads, teams need to consider monitoring and observability early so they can detect health issues, investigate failures, and understand operational impact. Organizations place workloads on cloud platforms based on a combination of technical requirements, economics, existing dependencies, organizational standards, and business priorities. Their monitoring priorities therefore depend on what they operate and where those systems run. Those priorities will not look the same for every organization ...

Top-performing businesses prioritize data-driven decision making, enabling leaders to move from intuition and gut feel towards evidence-based judgment. But that judgment is only sound when the data underpinning decisions is accurate. With incident management, data accuracy is particularly important. Long-term revenue, customer trust, and operational stability depend on high-quality data that enables teams to quickly identify and address the root cause of major incidents. Against this backdrop, governance becomes a critical endeavor to ensure the right data drives the right action ...

In MEAN TIME TO INSIGHT Episode 26, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network compliance ... 

Most production autonomous agents do not run in a vacuum. They run inside cloud infrastructure: virtual machines, containers, pods, managed clusters or private servers. That is where most operations teams start monitoring. Is the VM alive? Is the container running? Did the pod restart? Is memory stable? Is CPU too high? Did the health check pass? Those signals are useful. They tell you whether the shell around the agent is alive. They do not tell you whether the agent inside is actually operational ...

Enterprise IT environments have never been more observable ... Yet many organizations still grapple with outages, lengthy incident resolution cycles, and increasing complexity. Most teams do not suffer from a shortage of data. They struggle to determine what deserves attention and what action to take next ... Enterprise IT operations must move beyond monitoring and visibility. The next stage of maturity is decision operations, an approach that helps teams make faster, better-informed decisions ...

The Past, Present and Future of DEX

Tim Flower

Over the last 20 years Digital Employee Experience has become a necessity for companies committed to digital transformation and improving IT experiences. In fact, by 2025, more than 50% of IT organizations will use digital employee experience to prioritize and measure digital initiative success.

However, it is still often an unsung hero of IT with employees feeling its absence but not always appreciating its reach.

Let's take a look back at life before DEX, how we can define DEX and what the future of DEX looks like. A Look Back at the IT Horrors I started my career in technology in the late 80s — long before the idea of remote work or the availability of the internet right in your pocket. It was essentially the IT Dark Ages. Automation in EUC was in its infancy, and visibility into the technology being used was non-existent. This meant when something would break, IT wouldn't know, sometimes for weeks, until employees started calling into the helpdesk.

Technology projects would take months to complete out of fear of breaking machines. A product rolloutnwould be done in multiple, slow phases to ensure that there was built in time for the helpdesk to catch on to an issue. Of course, that also meant if a ticket wasn't created IT worked under the assumption thateverything was fine — something we know today is never the case.

Inevitably, there would be at least one wide scale outage that every team in IT would disavow knowledge of. Regardless, that team would be required to attend the lengthy escalation call while every service tower investigated "their stack" to verify that it wasn't their problem to solve. It was a time of trial-and-error troubleshooting, or looking at diagnostic tools that had no bearing on the problem. But more so, it was a period of wasted time — time that could have been used to push innovation forward, work on something to move business priorities forward or even just take a longer lunch. Before DEX, wespent so much time passing off blame to the network team, or server, Citrix, or SCCM teams. We did the best with what we had, but the world has changed so much since then. But think about your existing environment. If you don't have DEX capabilities, I could be describing your world TODAY, not 20 years ago!

Defining Digital Employee Experience

I've seen many definitions of DEX, but true Digital Employee Experience is the process and IT discipline that focuses on positive outcomes for employees rather than the mere success of provisioning technology. The best outcome of a DEX operation is that IT can finally disconnect the dependency on the employee to report issues, and can manage the environment based on facts, data, and reality — a more accurate portrayal of what is happening behind the scenes than what is received via ticketing system.

In addition, by focusing on improving speed and quality of services delivered with definitive measures and accuracy, costs can be controlled more precisely than just cutting line items from the budget.

DEX is still a fairly new discipline with different vendors taking liberties and infusing their own meaning into the definition to make sure their capabilities are part of the conversation, which can be very confusing to buyers.

For example, is the ability to manage the VDI environment to a deep technical level a requirement for DEX? The VDI management vendors believe so, but DEX is not a hypervisor platform management tool. From a technology consumer side, I also think there's a misunderstanding of the impact that employee sentiment can provide to augment IT's understanding of the business and employees they support. Many customers view employee feedback and sentiment as a nice-to-have and maybe something they'll look at "later", but those that have come to use it regularly see it as a must-have. 

The use of DEX, however, is up to the customer. I have seen many different case studies of how DEX was used to solve complex or elusive problems from improving collaboration with application teams to making acquisitions a bit easier.

The Next 20 Years of DEX

With AI more available than ever before, it is safe to say next gen AI models will propel DEX forward at a staggering rate. While AI has been in the background of some DEX solutions already, the innovations in the technology will bring in even deeper analysis and insights across even larger data sets faster than previously possible. This is a momentous time for technology as AI, linked with automation, is truly ready to change the game. Similar to the invention of the internet, the ubiquitousness of AI is both exciting and frightening. While some people fear it will take away jobs, others know it is about adapting not replacement. Of course, with any change to the way we work there is a learning curve and many enterprises today struggle to define how to adopt AI in a meaningful way.

Additionally, we can expect DEX to become more employee-facing, allowing employees to interact directly with technology to get information and insights that will likely even bypass the need for an application front end. And when you link it with augmented reality, the possibilities are endless.

We've come a long way since 2004. Work is what you do, not where you go. For many that work is now fully digital, and having a proactive IT organization no longer sets you apart. It isn't "a nice to have" but a must have, and if you haven't made the change yet you are falling behind. Coupled with AI, DEX's reach will only continue to grow with its impact being even more apparent. I've had the opportunity to witness these changes in real-time, experiencing the highs and lows of working in IT. And while as a customer I adopted DEX at a very early stage, it's something I wish I had been aware of even earlier. I often think of all the headaches and business impacting events we could have avoided. So, my advice to you is this: Embrace new technology and assess its viability for you as early as you can. Don't be afraid to push the limits of what is possible.

The Latest

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

Enterprises operate different combinations of workloads across cloud, hybrid and multicloud environments. For business-critical workloads, teams need to consider monitoring and observability early so they can detect health issues, investigate failures, and understand operational impact. Organizations place workloads on cloud platforms based on a combination of technical requirements, economics, existing dependencies, organizational standards, and business priorities. Their monitoring priorities therefore depend on what they operate and where those systems run. Those priorities will not look the same for every organization ...

Top-performing businesses prioritize data-driven decision making, enabling leaders to move from intuition and gut feel towards evidence-based judgment. But that judgment is only sound when the data underpinning decisions is accurate. With incident management, data accuracy is particularly important. Long-term revenue, customer trust, and operational stability depend on high-quality data that enables teams to quickly identify and address the root cause of major incidents. Against this backdrop, governance becomes a critical endeavor to ensure the right data drives the right action ...

In MEAN TIME TO INSIGHT Episode 26, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network compliance ... 

Most production autonomous agents do not run in a vacuum. They run inside cloud infrastructure: virtual machines, containers, pods, managed clusters or private servers. That is where most operations teams start monitoring. Is the VM alive? Is the container running? Did the pod restart? Is memory stable? Is CPU too high? Did the health check pass? Those signals are useful. They tell you whether the shell around the agent is alive. They do not tell you whether the agent inside is actually operational ...

Enterprise IT environments have never been more observable ... Yet many organizations still grapple with outages, lengthy incident resolution cycles, and increasing complexity. Most teams do not suffer from a shortage of data. They struggle to determine what deserves attention and what action to take next ... Enterprise IT operations must move beyond monitoring and visibility. The next stage of maturity is decision operations, an approach that helps teams make faster, better-informed decisions ...