Independent Software QA: Why External Evaluation Matters

Written by Lucas Sachs

I have been spending a lot of time lately looking at customer-facing software from the outside, specifically the kinds of digital products that sit between a company and thousands or even millions of customers and are responsible for very basic, very important interactions. Logging in, paying a bill, checking service status, changing account information, troubleshooting a problem, contacting support. None of these are especially exciting features on their own, but when they do not work correctly they create a disproportionate amount of frustration because the customer is usually opening the app for a reason, not because they want to spend time in it.

One of the more interesting projects I have worked on recently involved a company that had already invested heavily in this experience. They had an established application, a meaningful user base, thousands of public ratings, active development, and a recent redesign. On paper, there was very little reason to assume they were ignoring the product. What made the account interesting was almost the opposite. Despite all of that investment, customers were still repeatedly describing friction around authentication, billing visibility, payments, troubleshooting, and being pushed out of the application into other support channels to complete fairly basic tasks.

That changed the way I thought about the opportunity. My first instinct was not that they needed a new development team or that the people working internally were doing a bad job. It was that there is a structural limitation in asking the same organization responsible for designing, building, prioritizing, funding, and advancing a product to also be the only organization responsible for challenging whether the product is actually working the way it should for somebody outside of that system.

When software is important, but software is not the business

This problem becomes even more obvious in companies whose actual product is not technology. A broadband provider, parking company, healthcare organization, manufacturer, retailer, or service business may still depend heavily on software without thinking of itself as a software company. In a lot of those organizations, the entire development team may be three to five people who are responsible for building features, maintaining integrations, fixing bugs, supporting internal requests, and then effectively QAing much of the same work they just built. Additional testing often gets pushed onto product managers, operations staff, customer service teams, or other non-technical employees who are doing the best they can but were never hired to evaluate software architecture or systematically break customer journeys.

That model is understandable. If software is supporting the business rather than being the business, building a large internal product and QA organization may not make economic sense. The issue is that the digital experience can still become one of the primary ways a customer interacts with the company. A business may employ thousands of people delivering an excellent physical service while a team of five developers is effectively responsible for the digital front door to the entire organization.

Internal QA is still part of the system it is evaluating

Internal QA is obviously necessary, but its purpose is usually tied to forward motion. A feature has requirements, the development team builds against those requirements, QA tests whether the feature behaves the way it is supposed to, bugs are documented, releases get approved, and the roadmap continues. There is nothing wrong with that process. In fact, structured Development and Testing should be part of any serious software process. The problem is that everybody involved is working with the same internal context.

They understand why certain compromises were made, they know which systems are difficult to integrate, they know what has already been approved by leadership, and they know what is scheduled to be fixed later. Over time, those explanations become part of the product itself, even though none of them exist from the customer’s perspective.

The customer does not know that authentication depends on a legacy platform, or that the payment experience is constrained by a third-party system, or that a particular support flow is temporary until another project is finished. They know they had to sign in twice, could not find the payment they made yesterday, or opened an app to solve a problem and ended up calling customer service anyway. When you are close enough to the product, it becomes very easy to see those problems as technical realities. From the outside, they are simply friction.

AI has a version of the same problem

I think there is an interesting parallel here with AI, because one of the known weaknesses of conversational models is that they can become overly agreeable with the person using them. These systems are designed to understand what the user is trying to accomplish and respond helpfully, but one of the side effects is that they can reinforce the premise they were given instead of questioning whether the premise was good in the first place. If I give an AI a theory and ask it to help me prove that theory, it can usually do a very good job of finding supporting information, strengthening the argument, and making the idea sound increasingly convincing.

That is also why I have found the most useful way to use AI in my own work is often to do the opposite. I use it to research an account, develop a hypothesis, and organize information, but then I actively ask it to challenge the conclusion I arrived at. I want it to tell me what evidence does not fit, where I might be making assumptions, and what would need to be true for the entire thesis to fall apart. I wrote about this recently in the context of business development because a research tool that only confirms the salesperson’s original idea is not especially useful. The value comes from being able to pressure-test that idea before acting on it.

The same principle applies to software. An internal team can be extremely good at asking whether the product was built correctly while still being poorly positioned to ask whether the underlying assumptions should be challenged at all. If the roadmap says the customer should move through a particular sequence of screens, internal QA can verify that those screens work. An outside evaluator is much more likely to ask why the customer needs to move through that sequence in the first place.

A customer experiences one company, not ten systems

That difference becomes even more important when the product touches several systems at once. The application we evaluated was not simply a standalone piece of software. It connected account access, billing, payments, service information, troubleshooting, appointments, notifications, and customer support. Every individual component could technically work as designed while the overall experience still felt fragmented to the person using it, because customers experience the company as one system even when the company itself is operating across ten.

Where a third-party technical partner changes the equation

This is where I think the value of a third-party technical partner like Tepia is often misunderstood. The role should not simply be to bring in another group of people to run regression tests or recreate the same checklist an internal department is already using. The value is having an outside software team with enough technical depth to understand what is happening under the hood, while still being far enough removed from the original decisions to challenge the product from a different position.

For us, that can mean coming into an existing digital product as a supplemental partner rather than replacing the people who built it. We can evaluate customer journeys, test workflows, compare public customer feedback against the intended experience, identify where technical debt or fragmented systems are surfacing as customer friction, and then work alongside the internal team on whatever actually needs to change. Tepia’s broader software process approaches testing as part of a larger system that includes discovery, design, development, user acceptance, launch, and support rather than treating QA as an isolated final checkpoint.

In some cases that may be QA and remediation. In others it may expose a larger UX, integration, or architectural problem. The point is not to assume that everything needs to be rebuilt. It is to bring an independent technical perspective into a system that has mostly been evaluating itself.

Independence matters even when everybody is doing their job

That independence matters because every internal team has pressure, even when nobody is consciously applying it. Product wants the roadmap to progress. Engineering wants to ship. Leadership wants to see movement. QA wants to clear the release. In smaller teams, the same three or four people may effectively be doing several of those jobs at once. Nobody needs to be dishonest for those incentives to influence how problems are framed. If the organization has already invested twelve months into a redesign, it is much easier to ask how the redesign can be improved than whether portions of the redesign should have been approached differently in the first place.

An external partner is valuable precisely because they do not have to protect the history of the product. They can look at a customer journey that technically passes every internal test and still say that it does not make sense. They can follow the same workflows customers are actually using, identify where people are being pushed into unnecessary support interactions, and ask whether the architecture of the experience is creating problems that bug fixes alone are never going to solve.

I do not think that makes third-party evaluation inherently better than internal QA, and it definitely does not make it a replacement. The internal team will almost always have deeper knowledge of the product, the infrastructure, and the constraints surrounding it. That is exactly why the combination is useful. One side understands why the product exists the way it does, while the other side has the technical ability and independence to ignore those explanations long enough to ask whether the result is actually good.

There is a reason companies use outside auditors, penetration testers, consultants, editors, and independent reviewers in almost every other part of business. The point is not that the people inside the organization are incapable of evaluating their own work. The point is that proximity creates blind spots, and a system becomes more reliable when somebody with different incentives is allowed to challenge it.

QA has to evaluate more than whether the software works

As digital products become more central to the customer relationship, I think QA has to evolve beyond determining whether software works. This is especially true for companies that were never supposed to become technology companies in the first place but now find themselves managing applications, integrations, payment systems, customer portals, and entire digital experiences with relatively small internal teams.

The more important question is increasingly whether that experience works for the person on the other side of it, and whether the people evaluating it have enough distance from the process that created it to say when the answer is no.

If you’re interested in third-party QA and support for an existing digital product, or have any needs with your digital software from an established third party, reach out to me at lucas@tepia.co.