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Unrelenting IT Issues Cost Millions of Hours in Lost Productivity

Poor DEX directly costs global businesses an average of 470,000 hours per year, equivalent to around 226 full-time employees, according to a new report from Nexthink, Cracking the DEX Equation: The Annual Workplace Productivity Report. This indicates that digital friction is a vital and underreported element of the global productivity crisis.

The report finds that the average employee suffers 14 negative digital experiences a week. These include device crashes, application glitches, or slow load times, and can reduce productivity and collaboration while also increasing employee frustration and stress. Crucially, the research also indicates a strong inverse correlation between an organization's DEX score and productivity loss. For every 10-point increase to the overall DEX score, employees would recoup an average of 22 productive minutes each week.

"Quantifying the immense cumulative impact of bad DEX is truly eye-opening," commented Pedro Bados, CEO and Co-Founder of Nexthink. "Employees who constantly have frustrating digital experiences suffer eight times the productivity loss compared to those who have consistently good experiences. All told, enterprises are losing millions of hours every year because of malfunctioning technology. This is unacceptable, yet it's regarded by many as just another cost of doing business."

The research also suggests that these consistent disruptions are not just a threat to enterprise productivity, but also to the quality of work employees produce. The average negative event lasts a little under 3 minutes (167 seconds), yet research from the American Psychological Association suggests that even delays of less than 5 seconds are enough to triple people's error rate. Moreover, research from the University of California has shown that if when employees are taken out of their flow state it takes around 23 minutes for them to return, further increasing the amount of lost time.

Averaging lost time by industry shows significant variation with retailers, healthcare providers, and financial service companies suffering 1.7x the time loss of the tech industry. The number of disruptive events per week was almost identical, regardless of industry however, suggesting that the variance in time loss is down to the severity of events rather than the volume.

"Even small digital disruptions can cascade into hours of lost productivity," added Bados. "But often these incidents are much bigger with employees losing whole days as a result. This isn't just about overall enterprise productivity, it's also about digital friction pushing people to boiling point because they feel stuck and abandoned — a feeling that is being turbo-charged in the AI era. If IT departments don't address these fundamental issues, the business will lose talented people to competitors, become less collaborative, and fall behind in the innovation race, all of which will inevitably have serious implications for their bottom line."

Methodology: Nexthink's analysis is based on proprietary data from more than 20m endpoints across 474 global businesses. The figures in this report are derived from aggregated, anonymized telemetry from organizations largely in the early stages of DEX management.

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Unrelenting IT Issues Cost Millions of Hours in Lost Productivity

Poor DEX directly costs global businesses an average of 470,000 hours per year, equivalent to around 226 full-time employees, according to a new report from Nexthink, Cracking the DEX Equation: The Annual Workplace Productivity Report. This indicates that digital friction is a vital and underreported element of the global productivity crisis.

The report finds that the average employee suffers 14 negative digital experiences a week. These include device crashes, application glitches, or slow load times, and can reduce productivity and collaboration while also increasing employee frustration and stress. Crucially, the research also indicates a strong inverse correlation between an organization's DEX score and productivity loss. For every 10-point increase to the overall DEX score, employees would recoup an average of 22 productive minutes each week.

"Quantifying the immense cumulative impact of bad DEX is truly eye-opening," commented Pedro Bados, CEO and Co-Founder of Nexthink. "Employees who constantly have frustrating digital experiences suffer eight times the productivity loss compared to those who have consistently good experiences. All told, enterprises are losing millions of hours every year because of malfunctioning technology. This is unacceptable, yet it's regarded by many as just another cost of doing business."

The research also suggests that these consistent disruptions are not just a threat to enterprise productivity, but also to the quality of work employees produce. The average negative event lasts a little under 3 minutes (167 seconds), yet research from the American Psychological Association suggests that even delays of less than 5 seconds are enough to triple people's error rate. Moreover, research from the University of California has shown that if when employees are taken out of their flow state it takes around 23 minutes for them to return, further increasing the amount of lost time.

Averaging lost time by industry shows significant variation with retailers, healthcare providers, and financial service companies suffering 1.7x the time loss of the tech industry. The number of disruptive events per week was almost identical, regardless of industry however, suggesting that the variance in time loss is down to the severity of events rather than the volume.

"Even small digital disruptions can cascade into hours of lost productivity," added Bados. "But often these incidents are much bigger with employees losing whole days as a result. This isn't just about overall enterprise productivity, it's also about digital friction pushing people to boiling point because they feel stuck and abandoned — a feeling that is being turbo-charged in the AI era. If IT departments don't address these fundamental issues, the business will lose talented people to competitors, become less collaborative, and fall behind in the innovation race, all of which will inevitably have serious implications for their bottom line."

Methodology: Nexthink's analysis is based on proprietary data from more than 20m endpoints across 474 global businesses. The figures in this report are derived from aggregated, anonymized telemetry from organizations largely in the early stages of DEX management.

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Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

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Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

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