Skip to main content

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

While 87% of manufacturing leaders and technical specialists report that ROI from their AIOps initiatives has met or exceeded expectations, only 37% say they are fully prepared to operationalize AI at scale, according to The Future of IT Operations in the AI Era, a report from Riverbed ...

Many organizations rely on cloud-first architectures to aggregate, analyze, and act on their operational data ... However, not all environments are conducive to cloud-first architectures ... There are limitations to cloud-first architectures that render them ineffective in mission-critical situations where responsiveness, cost control, and data sovereignty are non-negotiable; these limitations include ...

For years, cybersecurity was built around a simple assumption: protect the physical network and trust everything inside it. That model made sense when employees worked in offices, applications lived in data centers, and devices rarely left the building. Today's reality is fluid: people work from everywhere, applications run across multiple clouds, and AI-driven agents are beginning to act on behalf of users. But while the old perimeter dissolved, a new one quietly emerged ...

For years, infrastructure teams have treated compute as a relatively stable input. Capacity was provisioned, costs were forecasted, and performance expectations were set based on the assumption that identical resources behaved identically. That mental model is starting to break down. AI infrastructure is no longer behaving like static cloud capacity. It is increasingly behaving like a market ...

Resilience can no longer be defined by how quickly an organization recovers from an incident or disruption. The effectiveness of any resilience strategy is dependent on its ability to anticipate change, operate under continuous stress, and adapt confidently amid uncertainty ...

Mobile users are less tolerant of app instability than ever before. According to a new report from Luciq, No Margin for Error: What Mobile Users Expect and What Mobile Leaders Must Deliver in 2026, even minor performance issues now result in immediate abandonment, lost purchases, and long-term brand impact ...

Artificial intelligence (AI) has become the dominant force shaping enterprise data strategies. Boards expect progress. Executives expect returns. And data leaders are under pressure to prove that their organizations are "AI-ready" ...

Agentic AI is a major buzzword for 2026. Many tech companies are making bold promises about this technology, but many aren't grounded in reality, at least not yet. This coming year will likely be shaped by reality checks for IT teams, and progress will only come from a focus on strong foundations and disciplined execution ...

AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...

More data center leaders are reducing their reliance on utility grids by investing in onsite power for rapidly scaling data centers, according to the Data Center Power Report from Bloom Energy ...

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

While 87% of manufacturing leaders and technical specialists report that ROI from their AIOps initiatives has met or exceeded expectations, only 37% say they are fully prepared to operationalize AI at scale, according to The Future of IT Operations in the AI Era, a report from Riverbed ...

Many organizations rely on cloud-first architectures to aggregate, analyze, and act on their operational data ... However, not all environments are conducive to cloud-first architectures ... There are limitations to cloud-first architectures that render them ineffective in mission-critical situations where responsiveness, cost control, and data sovereignty are non-negotiable; these limitations include ...

For years, cybersecurity was built around a simple assumption: protect the physical network and trust everything inside it. That model made sense when employees worked in offices, applications lived in data centers, and devices rarely left the building. Today's reality is fluid: people work from everywhere, applications run across multiple clouds, and AI-driven agents are beginning to act on behalf of users. But while the old perimeter dissolved, a new one quietly emerged ...

For years, infrastructure teams have treated compute as a relatively stable input. Capacity was provisioned, costs were forecasted, and performance expectations were set based on the assumption that identical resources behaved identically. That mental model is starting to break down. AI infrastructure is no longer behaving like static cloud capacity. It is increasingly behaving like a market ...

Resilience can no longer be defined by how quickly an organization recovers from an incident or disruption. The effectiveness of any resilience strategy is dependent on its ability to anticipate change, operate under continuous stress, and adapt confidently amid uncertainty ...

Mobile users are less tolerant of app instability than ever before. According to a new report from Luciq, No Margin for Error: What Mobile Users Expect and What Mobile Leaders Must Deliver in 2026, even minor performance issues now result in immediate abandonment, lost purchases, and long-term brand impact ...

Artificial intelligence (AI) has become the dominant force shaping enterprise data strategies. Boards expect progress. Executives expect returns. And data leaders are under pressure to prove that their organizations are "AI-ready" ...

Agentic AI is a major buzzword for 2026. Many tech companies are making bold promises about this technology, but many aren't grounded in reality, at least not yet. This coming year will likely be shaped by reality checks for IT teams, and progress will only come from a focus on strong foundations and disciplined execution ...

AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...

More data center leaders are reducing their reliance on utility grids by investing in onsite power for rapidly scaling data centers, according to the Data Center Power Report from Bloom Energy ...