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Mobile DEX Is the Next Step in Improving User Satisfaction

Mike Marks
Riverbed

Enterprises are putting a lot of effort into improving the digital employee experience (DEX), which has become essential to both improving organizational performance and attracting and retaining talented workers. But to date, most efforts to deliver outstanding DEX have focused on people working with laptops, PCs, or thin clients. Employees on the frontlines, using mobile devices to handle logistics, who work the shop floor or make the rounds visiting hospital patients, have been largely overlooked.

This represents a sizeable gap for organizations looking to put their data to the best use. Mobile users are interacting with customers, shippers, patients, and a host of others in fields ranging from vehicle rentals and retail stores to insurance claims and government services. The quality of their user experience directly impacts company performance and their own job satisfaction, just as much as DEX affects employees anywhere else in an organization.

With the right observability tools, however, organizations can bring the same level of visibility, device telemetry and artificial intelligence-powered analytics to mobile users that they do elsewhere in the organization.

Most Current Technologies Don't Connect With Mobile Users

Depending on the organization, mobile devices can make up a pretty big chunk of a company's IT equipment. Gartner projects that companies will spend $61.5 billion on mobile devices this year, a 1.4% increase from 2023, buying 155 million phones, laptops, and other devices.

Yet most observability vendors limit their DEX offerings to laptop/PC users, leaving frontline workers without tools that can proactively detect and resolve issues, easily access the right information at the right time and improve customer service. Organizations also suffer overall, since IT teams that lack visibility into the experience of their mobile users have no idea of whether issues are affecting revenue, productivity, job satisfaction or even healthcare outcomes.

Current enterprise mobility management (EMM) solutions fall short in this area because, while they offer control over applications and security measures, they don't provide visibility into application and device performance. Traditional, agent-based DEX solutions allow visibility only into Windows devices. They are unable to work with Android and iOS devices and apps — which constitute the majority of devices in use. Specialized handheld devices such as those from Zebra feature some mobile DEX capabilities, but only within their own proprietary environments.

The Advantages of a True Mobile DEX Solution

A true Mobile DEX solution works with iOS and Android devices from multiple vendors in a variety of form factors, including ruggedized devices and free-standing kiosks. It can gather full-fidelity device and network telemetry, perform AI-enhanced analytics, and deliver actionable insights on network performance and user engagement at both the network and the device levels, tracking use even as employees switch devices.

At the device level, for example, Mobile DEX can gather a wide variety of metrics to proactively identify and resolve digital experience issues, which can range from network connections and device configurations to hardware health, such as its storage, RAM, and CPU performance. Good Mobile DEX can even monitor peripheral factors like battery drain and charging rates. It can also provide data on the signal strength of Wi-Fi or cellular networks.

A solution making use of AI and machine learning (ML) can also keep close tabs on employee sentiment and the quality of their user experience. IT can, for example, send customized information to employee's individual devices soliciting feedback on any service quality issues. In addition to resolving issues, it can offer guidance on what employees can do to improve their own experience, such as providing information about installing apps or using them for the first time or adapting a device for use in a new location.

Users can also receive proactive information about outages, or warnings when usage limits set by corporate policy are about to be reached.

At the network level, it can monitor every corporate app for usage, including start and stop times for apps, as well as any instances of an app crashing. To ensure compliance with corporate use policies, a Mobile DEX solution also can analyze usage patterns of apps and websites.

That data gives IT teams valuable insights into the effects app usage and performance have on an organization's productivity and security.

Conclusion

The importance of improving the digital experience for all employees is clear. In Riverbed's Global DEX Survey, 91% of IT and business decision-makers acknowledged that they need to provide better DEX or suffer the consequences, with 63% saying that poor DEX could result in damage to a company's productivity, performance or reputation. And 68% said that employees — particularly younger, digital native employees in the millennial and Generation Z categories — would leave the company if their user experience didn't meet their expectations.

More than 90% of decision makers said they planned to invest in DEX technologies, but until now the available technologies haven't addressed mobile users. A platform that brings unified observability to mobile devices can provide a cohesive view of the mobile digital employee experience, incorporating that segment of users into efforts to improve DEX throughout the enterprise. Company performance will improve along with it.

Mike Marks is VP of Product Marketing at Riverbed

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The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

Mobile DEX Is the Next Step in Improving User Satisfaction

Mike Marks
Riverbed

Enterprises are putting a lot of effort into improving the digital employee experience (DEX), which has become essential to both improving organizational performance and attracting and retaining talented workers. But to date, most efforts to deliver outstanding DEX have focused on people working with laptops, PCs, or thin clients. Employees on the frontlines, using mobile devices to handle logistics, who work the shop floor or make the rounds visiting hospital patients, have been largely overlooked.

This represents a sizeable gap for organizations looking to put their data to the best use. Mobile users are interacting with customers, shippers, patients, and a host of others in fields ranging from vehicle rentals and retail stores to insurance claims and government services. The quality of their user experience directly impacts company performance and their own job satisfaction, just as much as DEX affects employees anywhere else in an organization.

With the right observability tools, however, organizations can bring the same level of visibility, device telemetry and artificial intelligence-powered analytics to mobile users that they do elsewhere in the organization.

Most Current Technologies Don't Connect With Mobile Users

Depending on the organization, mobile devices can make up a pretty big chunk of a company's IT equipment. Gartner projects that companies will spend $61.5 billion on mobile devices this year, a 1.4% increase from 2023, buying 155 million phones, laptops, and other devices.

Yet most observability vendors limit their DEX offerings to laptop/PC users, leaving frontline workers without tools that can proactively detect and resolve issues, easily access the right information at the right time and improve customer service. Organizations also suffer overall, since IT teams that lack visibility into the experience of their mobile users have no idea of whether issues are affecting revenue, productivity, job satisfaction or even healthcare outcomes.

Current enterprise mobility management (EMM) solutions fall short in this area because, while they offer control over applications and security measures, they don't provide visibility into application and device performance. Traditional, agent-based DEX solutions allow visibility only into Windows devices. They are unable to work with Android and iOS devices and apps — which constitute the majority of devices in use. Specialized handheld devices such as those from Zebra feature some mobile DEX capabilities, but only within their own proprietary environments.

The Advantages of a True Mobile DEX Solution

A true Mobile DEX solution works with iOS and Android devices from multiple vendors in a variety of form factors, including ruggedized devices and free-standing kiosks. It can gather full-fidelity device and network telemetry, perform AI-enhanced analytics, and deliver actionable insights on network performance and user engagement at both the network and the device levels, tracking use even as employees switch devices.

At the device level, for example, Mobile DEX can gather a wide variety of metrics to proactively identify and resolve digital experience issues, which can range from network connections and device configurations to hardware health, such as its storage, RAM, and CPU performance. Good Mobile DEX can even monitor peripheral factors like battery drain and charging rates. It can also provide data on the signal strength of Wi-Fi or cellular networks.

A solution making use of AI and machine learning (ML) can also keep close tabs on employee sentiment and the quality of their user experience. IT can, for example, send customized information to employee's individual devices soliciting feedback on any service quality issues. In addition to resolving issues, it can offer guidance on what employees can do to improve their own experience, such as providing information about installing apps or using them for the first time or adapting a device for use in a new location.

Users can also receive proactive information about outages, or warnings when usage limits set by corporate policy are about to be reached.

At the network level, it can monitor every corporate app for usage, including start and stop times for apps, as well as any instances of an app crashing. To ensure compliance with corporate use policies, a Mobile DEX solution also can analyze usage patterns of apps and websites.

That data gives IT teams valuable insights into the effects app usage and performance have on an organization's productivity and security.

Conclusion

The importance of improving the digital experience for all employees is clear. In Riverbed's Global DEX Survey, 91% of IT and business decision-makers acknowledged that they need to provide better DEX or suffer the consequences, with 63% saying that poor DEX could result in damage to a company's productivity, performance or reputation. And 68% said that employees — particularly younger, digital native employees in the millennial and Generation Z categories — would leave the company if their user experience didn't meet their expectations.

More than 90% of decision makers said they planned to invest in DEX technologies, but until now the available technologies haven't addressed mobile users. A platform that brings unified observability to mobile devices can provide a cohesive view of the mobile digital employee experience, incorporating that segment of users into efforts to improve DEX throughout the enterprise. Company performance will improve along with it.

Mike Marks is VP of Product Marketing at Riverbed

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...