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Want to Keep Your Employees? Prioritize Their Digital Experience

Mike Marks
Riverbed

Companies have historically relied on tools that warn IT teams when their digital systems are experiencing glitches or attacks. But in an age where consumer loyalty is fickle and hybrid workers' Digital Employee Experience (DEX) is paramount for productivity, companies cannot afford to retroactively deal with IT failures that slow down employee productivity.

What if, instead, companies considered proactive solutions to their digital experience that provided greater visibility into the potential pitfalls of their IT systems? Rather than reactively dealing with the aftermath of digital downfalls, companies can take matters into their own hands by assessing how their employees are reacting to the applications in play.

With 74% of Millennial and GenZ workers taking over the workforce, employees have an increased expectation on the efficiency of their digital work experience. The digital landscape is quickly evolving, and companies have to keep up if they want to deliver a digital experience that improves employee productivity, customer experience, and business performance. Below are three ways that real-time employee feedback allows for greater IT effectiveness, uncovers what's working well, and flags potential pitfalls.

Creating Tailored Solutions for Employee Feedback Helps Proactively Improve a Company's Digital Experience

Tailored surveys that span across devices and locations can provide companies with targeted areas of IT optimization and improvement. Companies need to also consider an employee's digital buy-in and how that affects productivity and retention. Employee buy-in is a key component for successful digital transformation within a company.

By implementing real-time feedback that pairs qualitative telemetry with contextual user data, companies can gain a more accurate assessment of how their applications are performing and where they can improve. Prioritizing real-time feedback ultimately leads to a better employee experience, customer satisfaction, and optimal business outcomes.

Integrating Real-Time Employee Feedback Tools Like XLAs Aid in Employee Digital Buy-in

Implementing experience-level agreements (XLA) that integrate both employee and customer insights can help companies assess users' levels of satisfaction and identify trends. XLAs add significant value to companies by providing insight into the employee digital experience through quantitative feedback and qualitative metrics.

The key differentiator between a traditional SLA (service level agreement) and an XLA is that XLAs not only provide transactional metrics of a department but also provide IT and LOB leaders with metrics on the level of satisfaction and preferences users have with a given application. Additionally, XLAs help business leaders analyze trends in the context of their overall processes and provide guidance on improving policies, prioritizing investments and identifying skills gaps.

Optimizing the Employee Digital Experience Will Lead to Better Business Outcomes

Companies need to first assess their business goals, particularly around customer success, and then determine how a stronger employee digital experience is helping or hurting their bottom line. Companies must consider how to practically integrate real-time employee feedback that helps them gain visibility into the employee digital experience and proactively address potential IT problems and solutions.

Proactive engagement with employees allows greater insight into digital acceptance and overall satisfaction with the IT experience. Furthermore, knowing how the day-to-day operations of the digital experience are affecting employees allows companies to know where to improve their IT systems and applications. What companies must understand is that placing a high value on digital visibility and employee success is critical to retaining top talent.

The Way Forward

As companies seek to implement actionable steps toward real-time feedback, they will begin to improve employee satisfaction and productivity that leads to optimal business success. Additionally, providing tailored solutions for employee feedback serves to create a more positive and streamlined experience for their employees. When employees are happy, companies realize increased customer success, and this combination is key to yielding positive business outcomes for companies both now and in the future.

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 ...

Want to Keep Your Employees? Prioritize Their Digital Experience

Mike Marks
Riverbed

Companies have historically relied on tools that warn IT teams when their digital systems are experiencing glitches or attacks. But in an age where consumer loyalty is fickle and hybrid workers' Digital Employee Experience (DEX) is paramount for productivity, companies cannot afford to retroactively deal with IT failures that slow down employee productivity.

What if, instead, companies considered proactive solutions to their digital experience that provided greater visibility into the potential pitfalls of their IT systems? Rather than reactively dealing with the aftermath of digital downfalls, companies can take matters into their own hands by assessing how their employees are reacting to the applications in play.

With 74% of Millennial and GenZ workers taking over the workforce, employees have an increased expectation on the efficiency of their digital work experience. The digital landscape is quickly evolving, and companies have to keep up if they want to deliver a digital experience that improves employee productivity, customer experience, and business performance. Below are three ways that real-time employee feedback allows for greater IT effectiveness, uncovers what's working well, and flags potential pitfalls.

Creating Tailored Solutions for Employee Feedback Helps Proactively Improve a Company's Digital Experience

Tailored surveys that span across devices and locations can provide companies with targeted areas of IT optimization and improvement. Companies need to also consider an employee's digital buy-in and how that affects productivity and retention. Employee buy-in is a key component for successful digital transformation within a company.

By implementing real-time feedback that pairs qualitative telemetry with contextual user data, companies can gain a more accurate assessment of how their applications are performing and where they can improve. Prioritizing real-time feedback ultimately leads to a better employee experience, customer satisfaction, and optimal business outcomes.

Integrating Real-Time Employee Feedback Tools Like XLAs Aid in Employee Digital Buy-in

Implementing experience-level agreements (XLA) that integrate both employee and customer insights can help companies assess users' levels of satisfaction and identify trends. XLAs add significant value to companies by providing insight into the employee digital experience through quantitative feedback and qualitative metrics.

The key differentiator between a traditional SLA (service level agreement) and an XLA is that XLAs not only provide transactional metrics of a department but also provide IT and LOB leaders with metrics on the level of satisfaction and preferences users have with a given application. Additionally, XLAs help business leaders analyze trends in the context of their overall processes and provide guidance on improving policies, prioritizing investments and identifying skills gaps.

Optimizing the Employee Digital Experience Will Lead to Better Business Outcomes

Companies need to first assess their business goals, particularly around customer success, and then determine how a stronger employee digital experience is helping or hurting their bottom line. Companies must consider how to practically integrate real-time employee feedback that helps them gain visibility into the employee digital experience and proactively address potential IT problems and solutions.

Proactive engagement with employees allows greater insight into digital acceptance and overall satisfaction with the IT experience. Furthermore, knowing how the day-to-day operations of the digital experience are affecting employees allows companies to know where to improve their IT systems and applications. What companies must understand is that placing a high value on digital visibility and employee success is critical to retaining top talent.

The Way Forward

As companies seek to implement actionable steps toward real-time feedback, they will begin to improve employee satisfaction and productivity that leads to optimal business success. Additionally, providing tailored solutions for employee feedback serves to create a more positive and streamlined experience for their employees. When employees are happy, companies realize increased customer success, and this combination is key to yielding positive business outcomes for companies both now and in the future.

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 ...