Skip to main content

Gartner: 60% of Employees Experience Frustration with New Software

Over Half of Users Have Wished Management Would Re-Instate Old Systems

More than half (60%) of workers said new software had occasionally or frequently frustrated them within the past 24 months, according to a new survey by Gartner, Inc.

In fact, 56% of users said new software had made them wish management would bring the old system back.

"The democratization and consumerization of IT has resulted in employees who have more discretion over what software they use and how they use it," said Craig Roth, Research VP at Gartner. "Software product leaders often focus on adding new features to keep up with competitors, but this leads to overly complex products with poor user experience (UX)."

The global Gartner survey revealed three ways in which users can impact enterprise software adoption:

1. Personal Adoption

The survey found that 81% of software users have taken some kind of action — positive or negative — after a notable experience with software. For example, 40% of users have resisted using applications after a negative experience by using minimal features, avoiding or delaying use. After a positive experience with an application, however, 41% of users spent more time delving further into its features.

"Depth of application usage can have a significant impact on the value an organization receives from software. That perceived value becomes important when renewal or upgrade time rolls around," said Roth. "Consumption of new features helps technology providers increase the stickiness of a product, but when users ignore advanced features, vendors have less influence to secure upsells or renewals and stay ahead of competition."

2. Influencing Others to Adopt or Avoid

The survey also found that users frequently share their opinions on software with peers, with IT and with business leaders, either proactively or in response to requests for input. This "word of mouth" can start a chain reaction that influences whether others adopt or avoid applications.

For example, 42% of survey respondents said they have complained to peers after a negative software experience, while 38% have recommended an application to peers after a positive experience.
Additionally, 42% have shared negative experiences with IT, and 25% have shared those experiences with business management.

Social media is also becoming an important outlet for sharing opinions on software, with 10% of respondents indicating they had left reviews on social media or review websites after a negative experience with an application.

When users were asked what actions software vendors could take to make them more likely to recommend their products to peers, IT or business leaders, the top answer was to make products easier to use, cited by 51% of respondents. Adding missing features was a distant third place, cited by 30%.

3. Self-Purchasing

Enterprise software users can also act as buyers in certain instances. The Gartner survey found that 34% of users say their IT department allows them to choose most of the software they use. In some instances, users may also self-acquire software through personal or business credit cards, or users will be billed based on consumption, although these arrangements are not yet commonplace.

"With SaaS revenue growing faster than the overall software industry, providers increasingly find themselves in a continuous purchase cycle," said Roth. "In this competitive market, maintaining high-value application usage by making UX a core competency is critical for generating positive business outcomes."

Methodology: The Gartner 2021 User Influence on Software Decisions Survey was conducted from April through June 2021 among 4,953 respondents in organizations with at least 100 employees in the US, France, Germany and Singapore. Respondents were required to be full-time workers or staff (i.e., not managers) who use technology products and services for their day-to-day work.

The Latest

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 ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

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 ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Gartner: 60% of Employees Experience Frustration with New Software

Over Half of Users Have Wished Management Would Re-Instate Old Systems

More than half (60%) of workers said new software had occasionally or frequently frustrated them within the past 24 months, according to a new survey by Gartner, Inc.

In fact, 56% of users said new software had made them wish management would bring the old system back.

"The democratization and consumerization of IT has resulted in employees who have more discretion over what software they use and how they use it," said Craig Roth, Research VP at Gartner. "Software product leaders often focus on adding new features to keep up with competitors, but this leads to overly complex products with poor user experience (UX)."

The global Gartner survey revealed three ways in which users can impact enterprise software adoption:

1. Personal Adoption

The survey found that 81% of software users have taken some kind of action — positive or negative — after a notable experience with software. For example, 40% of users have resisted using applications after a negative experience by using minimal features, avoiding or delaying use. After a positive experience with an application, however, 41% of users spent more time delving further into its features.

"Depth of application usage can have a significant impact on the value an organization receives from software. That perceived value becomes important when renewal or upgrade time rolls around," said Roth. "Consumption of new features helps technology providers increase the stickiness of a product, but when users ignore advanced features, vendors have less influence to secure upsells or renewals and stay ahead of competition."

2. Influencing Others to Adopt or Avoid

The survey also found that users frequently share their opinions on software with peers, with IT and with business leaders, either proactively or in response to requests for input. This "word of mouth" can start a chain reaction that influences whether others adopt or avoid applications.

For example, 42% of survey respondents said they have complained to peers after a negative software experience, while 38% have recommended an application to peers after a positive experience.
Additionally, 42% have shared negative experiences with IT, and 25% have shared those experiences with business management.

Social media is also becoming an important outlet for sharing opinions on software, with 10% of respondents indicating they had left reviews on social media or review websites after a negative experience with an application.

When users were asked what actions software vendors could take to make them more likely to recommend their products to peers, IT or business leaders, the top answer was to make products easier to use, cited by 51% of respondents. Adding missing features was a distant third place, cited by 30%.

3. Self-Purchasing

Enterprise software users can also act as buyers in certain instances. The Gartner survey found that 34% of users say their IT department allows them to choose most of the software they use. In some instances, users may also self-acquire software through personal or business credit cards, or users will be billed based on consumption, although these arrangements are not yet commonplace.

"With SaaS revenue growing faster than the overall software industry, providers increasingly find themselves in a continuous purchase cycle," said Roth. "In this competitive market, maintaining high-value application usage by making UX a core competency is critical for generating positive business outcomes."

Methodology: The Gartner 2021 User Influence on Software Decisions Survey was conducted from April through June 2021 among 4,953 respondents in organizations with at least 100 employees in the US, France, Germany and Singapore. Respondents were required to be full-time workers or staff (i.e., not managers) who use technology products and services for their day-to-day work.

The Latest

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 ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

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 ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...