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When Every Experience Matters, Bad Software Can Have Devastating Consequences

Marcus Merrell
Sauce Labs

One idea those in the DevOps world have been preaching for years is the importance of customer experience. Build a product that will delight your customers and they will keep coming back, or so the conventional wisdom goes. On the flip side, deliver poor CX and people will vote with their feet (out the digital door).

But just how damaging can it be for a brand when a consumer discovers a bug on a company's website or mobile app?


This information can be hard to quantify, but it's exactly what the new Sauce Labs report, Every Experience Matters is here to explain.

Most developers don't realize how closely their work is tied to a brand's success and revenue stream, but in a world where consumers have so many choices, user expectations can make or break a transaction. Today we'll look at a few of the insights that came from the report.

Every brand is a digital brand. Every company, regardless of industry, has a web presence that represents the primary way users engage with that company. Any time we browse a web page or mobile app, there is the possibility of a coding error crashing the site or lowering its performance in a way that a user would notice.

How common are these bugs?

Nearly a quarter of consumers (23%) say they encounter an error or experience issue that keeps them from accomplishing a task online at least once a day. In other words, millions of consumers are logging on to shop, pay bills, connect with people, and other important daily tasks, only to encounter a problem that stops them in their tracks. These bugs lead to abandoned carts, negative reviews and a loss of brand equity. Eventually, these errors start to negatively impact a company's reputation and destroy trust.

Patience may be a virtue, but it's also one that most consumers lack: when we drill into the data, the results are alarming. Almost one in five consumers (18%) will immediately abandon a transaction the moment they encounter an error. The majority of them will just go directly to your competition. 64% are a bit more forgiving and they will give you the benefit of the doubt by refreshing your page 2-3 times before eventually giving up, but the bottom line here is that your customer's time is money. Without swift resolution, they have no problems taking their business elsewhere.


To make matters worse, consumers aren't shy about sharing their negative experiences. About half of those surveyed (49%) reported discussing negative experiences with family and friends meaning that errors and challenges can spread to potential customers via word of mouth. A quarter (25%) took the extra step of writing a negative review for the world to see. (Just sorting by new on Reddit will show plenty of these.) Most concerning were the 20% that said after experiencing one error on a brand's website or app, they would leave as a customer forever.

These statistics may sound daunting, but all they really do is confirm our instincts that consumers are impatient, and our users aren't too forgiving. The easy fix for a developer is to catch errors before they are released to the masses, in the form of an aggressive testing strategy.

Whether a developer operates in a low-code environment or relies heavily on automation testing, there are tools that can put your customer first and set you up for success. Test features like API testing and Error Monitoring can catch bugs earlier in the SDLC and help devs and testers catch problems quickly and save the company money. In a DevOps world increasingly obsessed with speed, we must remember the importance of quality. To your users, every experience matters, so we should always be mindful to put our best foot forward and protect brand reputation at all costs.

Marcus Merrell is VP of Technology Strategy at Sauce Labs

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When Every Experience Matters, Bad Software Can Have Devastating Consequences

Marcus Merrell
Sauce Labs

One idea those in the DevOps world have been preaching for years is the importance of customer experience. Build a product that will delight your customers and they will keep coming back, or so the conventional wisdom goes. On the flip side, deliver poor CX and people will vote with their feet (out the digital door).

But just how damaging can it be for a brand when a consumer discovers a bug on a company's website or mobile app?


This information can be hard to quantify, but it's exactly what the new Sauce Labs report, Every Experience Matters is here to explain.

Most developers don't realize how closely their work is tied to a brand's success and revenue stream, but in a world where consumers have so many choices, user expectations can make or break a transaction. Today we'll look at a few of the insights that came from the report.

Every brand is a digital brand. Every company, regardless of industry, has a web presence that represents the primary way users engage with that company. Any time we browse a web page or mobile app, there is the possibility of a coding error crashing the site or lowering its performance in a way that a user would notice.

How common are these bugs?

Nearly a quarter of consumers (23%) say they encounter an error or experience issue that keeps them from accomplishing a task online at least once a day. In other words, millions of consumers are logging on to shop, pay bills, connect with people, and other important daily tasks, only to encounter a problem that stops them in their tracks. These bugs lead to abandoned carts, negative reviews and a loss of brand equity. Eventually, these errors start to negatively impact a company's reputation and destroy trust.

Patience may be a virtue, but it's also one that most consumers lack: when we drill into the data, the results are alarming. Almost one in five consumers (18%) will immediately abandon a transaction the moment they encounter an error. The majority of them will just go directly to your competition. 64% are a bit more forgiving and they will give you the benefit of the doubt by refreshing your page 2-3 times before eventually giving up, but the bottom line here is that your customer's time is money. Without swift resolution, they have no problems taking their business elsewhere.


To make matters worse, consumers aren't shy about sharing their negative experiences. About half of those surveyed (49%) reported discussing negative experiences with family and friends meaning that errors and challenges can spread to potential customers via word of mouth. A quarter (25%) took the extra step of writing a negative review for the world to see. (Just sorting by new on Reddit will show plenty of these.) Most concerning were the 20% that said after experiencing one error on a brand's website or app, they would leave as a customer forever.

These statistics may sound daunting, but all they really do is confirm our instincts that consumers are impatient, and our users aren't too forgiving. The easy fix for a developer is to catch errors before they are released to the masses, in the form of an aggressive testing strategy.

Whether a developer operates in a low-code environment or relies heavily on automation testing, there are tools that can put your customer first and set you up for success. Test features like API testing and Error Monitoring can catch bugs earlier in the SDLC and help devs and testers catch problems quickly and save the company money. In a DevOps world increasingly obsessed with speed, we must remember the importance of quality. To your users, every experience matters, so we should always be mindful to put our best foot forward and protect brand reputation at all costs.

Marcus Merrell is VP of Technology Strategy at Sauce Labs

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I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

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 ...