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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.

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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.

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In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

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 ...

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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.