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The Importance of CX Observability for DevOps Teams: A $1 Billion Missed Opportunity

James Isaacs
Cyara

A company will thrive or go out of business based on its reputation. A brand's reputation is dictated by several different factors, but customer experience (CX) remains the most critical when it comes to customer loyalty, trust and ultimately, sales. Studies have shown that 96% of consumers say CX is a key factor in their choice of loyalty to a brand and 85% of buyers are willing to pay more for great CX.

Yet, every day, companies are missing CX "red flags" because they don't have the tools to observe CX processes or metrics. Even basic errors or defects in automated customer interactions are left undetected for days, weeks or months, leading to widespread customer dissatisfaction. In fact, poor CX and digital technology investments are costing enterprises billions of dollars in lost potential revenue.

You can't fix what you can't see. Without observability into critical data about CX quality, there will always be bugs and errors that live out in the CX system for far too long. These technical issues tamper with the reliability of the CX software, which is so integral to the customer journey now that most businesses are operating on a digital-first approach. Reliability has never been more important for enterprises as they navigate digital transformation, especially cloud migration and automation.

Cultivating Observability in CX Software

Even in today's digital economy, many companies are still missing the mark when it comes to creating a memorable and positive CX through digital and voice channels. Most of the gap can be solved, however, if businesses invest in increasing their observability of CX processes and insightful metrics such as call center data, churn rate and net promoter scores (NPS).

Investing in greater observability allows enterprises to better collect and analyze data on every component of a system, application and infrastructure — from performance to security to accessibility. This information allows DevOps teams to glean insights into the reliability of actions performed within a unique business environment, such as an interactive voice response (IVR) system or a contact center. While an observability approach has been quickly adopted by software development and engineering teams, the practice of observability is still lagging when it comes to CX-related systems and solutions.

Gaining Real-time CX Insights

The fact of the matter is that for even the best DevOps teams, flaws creep into production. While DevOps teams do their best to foresee and predict potential gaps, they need a little help. Automated testing early in the development cycle, and throughout the entire process, is a proven way to identify potential flaws and mitigate errors before it becomes a costly threat to customers' experience. This requires automation because the faster a data set can be analyzed, the more value it will deliver.

Automated CX testing solutions work by generating synthetic interactions — either a single or thousands — to test the customer journey from the outside-in, from the network through IVRs to digital apps and routing systems, all the way to agents at their desktops — engaging in systems just as a customer would. Testing elements such as connectivity, responsiveness, quality and functionality can help DevOps teams ensure quality is achieved throughout the entire CX development life cycle. You can then dictate what data should be collected, who will own and examine the data and why it matters in the business' unique context to ensure the information collected within the customer journey is useful and impactful for the organization.

Be a Champion for CX Success

While the virtues of improving CX through automated testing are well known, it is worth mentioning the importance of executives championing CX observability and making the investment to prioritize it. Considering the potential revenue lost annually due to poor CX, it is important for executives to champion CX improvement efforts. For CX digital transformation initiatives to succeed, they must be led by an executive leader who can assert the need to drive cultural change and strategic investments. Appointing an executive to this role will ensure that CX initiatives are not siloed from DevOps teams, but also from the rest of the enterprise, including sales, marketing, operations and more. The organization's digital transformation champion must have broad authority that covers budget, people and processes in order to be effective in their role.

Online and in-person CX will always play a key role in brand loyalty. In an increasingly digital age, the reliability of our brand's digital frameworks will play an undeniable role in achieving brand loyalty and reputation through positive customer experiences. With greater observability and automated testing capabilities, enterprises can be empowered to innovate faster and deliver higher-quality solutions that will improve customer interactions and solidify brand loyalty for years to come.

James Isaacs is President of Cyara

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The Importance of CX Observability for DevOps Teams: A $1 Billion Missed Opportunity

James Isaacs
Cyara

A company will thrive or go out of business based on its reputation. A brand's reputation is dictated by several different factors, but customer experience (CX) remains the most critical when it comes to customer loyalty, trust and ultimately, sales. Studies have shown that 96% of consumers say CX is a key factor in their choice of loyalty to a brand and 85% of buyers are willing to pay more for great CX.

Yet, every day, companies are missing CX "red flags" because they don't have the tools to observe CX processes or metrics. Even basic errors or defects in automated customer interactions are left undetected for days, weeks or months, leading to widespread customer dissatisfaction. In fact, poor CX and digital technology investments are costing enterprises billions of dollars in lost potential revenue.

You can't fix what you can't see. Without observability into critical data about CX quality, there will always be bugs and errors that live out in the CX system for far too long. These technical issues tamper with the reliability of the CX software, which is so integral to the customer journey now that most businesses are operating on a digital-first approach. Reliability has never been more important for enterprises as they navigate digital transformation, especially cloud migration and automation.

Cultivating Observability in CX Software

Even in today's digital economy, many companies are still missing the mark when it comes to creating a memorable and positive CX through digital and voice channels. Most of the gap can be solved, however, if businesses invest in increasing their observability of CX processes and insightful metrics such as call center data, churn rate and net promoter scores (NPS).

Investing in greater observability allows enterprises to better collect and analyze data on every component of a system, application and infrastructure — from performance to security to accessibility. This information allows DevOps teams to glean insights into the reliability of actions performed within a unique business environment, such as an interactive voice response (IVR) system or a contact center. While an observability approach has been quickly adopted by software development and engineering teams, the practice of observability is still lagging when it comes to CX-related systems and solutions.

Gaining Real-time CX Insights

The fact of the matter is that for even the best DevOps teams, flaws creep into production. While DevOps teams do their best to foresee and predict potential gaps, they need a little help. Automated testing early in the development cycle, and throughout the entire process, is a proven way to identify potential flaws and mitigate errors before it becomes a costly threat to customers' experience. This requires automation because the faster a data set can be analyzed, the more value it will deliver.

Automated CX testing solutions work by generating synthetic interactions — either a single or thousands — to test the customer journey from the outside-in, from the network through IVRs to digital apps and routing systems, all the way to agents at their desktops — engaging in systems just as a customer would. Testing elements such as connectivity, responsiveness, quality and functionality can help DevOps teams ensure quality is achieved throughout the entire CX development life cycle. You can then dictate what data should be collected, who will own and examine the data and why it matters in the business' unique context to ensure the information collected within the customer journey is useful and impactful for the organization.

Be a Champion for CX Success

While the virtues of improving CX through automated testing are well known, it is worth mentioning the importance of executives championing CX observability and making the investment to prioritize it. Considering the potential revenue lost annually due to poor CX, it is important for executives to champion CX improvement efforts. For CX digital transformation initiatives to succeed, they must be led by an executive leader who can assert the need to drive cultural change and strategic investments. Appointing an executive to this role will ensure that CX initiatives are not siloed from DevOps teams, but also from the rest of the enterprise, including sales, marketing, operations and more. The organization's digital transformation champion must have broad authority that covers budget, people and processes in order to be effective in their role.

Online and in-person CX will always play a key role in brand loyalty. In an increasingly digital age, the reliability of our brand's digital frameworks will play an undeniable role in achieving brand loyalty and reputation through positive customer experiences. With greater observability and automated testing capabilities, enterprises can be empowered to innovate faster and deliver higher-quality solutions that will improve customer interactions and solidify brand loyalty for years to come.

James Isaacs is President of Cyara

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The development of banking apps was supposed to provide users with convenience, control and piece of mind. However, for thousands of Halifax customers recently, a major mobile outage caused the exact opposite, leaving customers unable to check balances, or pay bills, sparking widespread frustration. This wasn't an isolated incident ... So why are these failures still happening? ...

Cyber threats are growing more sophisticated every day, and at their forefront are zero-day vulnerabilities. These elusive security gaps are exploited before a fix becomes available, making them among the most dangerous threats in today's digital landscape ... This guide will explore what these vulnerabilities are, how they work, why they pose such a significant threat, and how modern organizations can stay protected ...

The prevention of data center outages continues to be a strategic priority for data center owners and operators. Infrastructure equipment has improved, but the complexity of modern architectures and evolving external threats presents new risks that operators must actively manage, according to the Data Center Outage Analysis 2025 from Uptime Institute ...

As observability engineers, we navigate a sea of telemetry daily. We instrument our applications, configure collectors, and build dashboards, all in pursuit of understanding our complex distributed systems. Yet, amidst this flood of data, a critical question often remains unspoken, or at best, answered by gut feeling: "Is our telemetry actually good?" ... We're inviting you to participate in shaping a foundational element for better observability: the Instrumentation Score ...

We're inching ever closer toward a long-held goal: technology infrastructure that is so automated that it can protect itself. But as IT leaders aggressively employ automation across our enterprises, we need to continuously reassess what AI is ready to manage autonomously and what can not yet be trusted to algorithms ...

Much like a traditional factory turns raw materials into finished products, the AI factory turns vast datasets into actionable business outcomes through advanced models, inferences, and automation. From the earliest data inputs to the final token output, this process must be reliable, repeatable, and scalable. That requires industrializing the way AI is developed, deployed, and managed ...

Almost half (48%) of employees admit they resent their jobs but stay anyway, according to research from Ivanti ... This has obvious consequences across the business, but we're overlooking the massive impact of resenteeism and presenteeism on IT. For IT professionals tasked with managing the backbone of modern business operations, these numbers spell big trouble ...

For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...