Innovation Isn’t Enough: What the Courts Mean by “Experimentation”

One of the biggest misconceptions surrounding the Research and Development Tax Credit is that innovation automatically qualifies for the credit.

It’s an understandable assumption. A company develops a new product, improves a manufacturing process, designs a custom solution for a customer, or spends months solving a difficult technical problem. From the business owner’s perspective, that feels like research and development.

Recent court decisions remind us that the analysis does not stop there.

The question courts continue to ask is not simply whether innovation occurred. They want to understand how the company arrived at the solution. More specifically, they want to see evidence of what the tax law calls a “process of experimentation.” Recent cases have repeatedly emphasized that experimentation is not merely a technical requirement buried in the tax code. It is often the deciding factor between a successful R&D credit claim and one that is denied.

That distinction matters because many businesses are doing innovative work every day without realizing that the way they document and describe that work can be just as important as the work itself.

When courts evaluate experimentation, they frequently refer back to principles that resemble the scientific method. This does not mean a business needs a laboratory, formal research scientists, or white coats. It means there should be evidence that uncertainty existed at the outset, that different approaches were considered, that testing occurred, and that results were evaluated before a final solution was selected.

Think about a software development project. A team may know what they want the application to accomplish, but they may not know the best way to achieve the desired performance, scalability, or security requirements. Multiple approaches may be considered. Different architectures or algorithmic logic may be tested. Certain options may fail. Others may create new challenges that require further refinement. The final product may appear straightforward to an outside observer, but the path to get there was filled with uncertainty and technical decision-making.

That journey is what the courts want to see.

One of the more interesting themes emerging from recent decisions is the distinction between expertise and experimentation. Experienced engineers, developers, architects, and technical professionals solve problems every day. They often rely on years of training and practical experience to make decisions quickly. The courts have acknowledged the value of that expertise while simultaneously making it clear that expertise alone does not necessarily satisfy the experimentation requirement. In several cases, taxpayers described technical challenges and demonstrated that highly skilled professionals were involved. What was missing was evidence showing that alternatives were systematically evaluated and tested before decisions were made.

That can feel counterintuitive. After all, most organizations hire experts precisely because they know how to solve difficult problems. Yet from an R&D credit perspective, simply choosing a solution based on professional judgment may not be enough. Courts are looking for evidence that uncertainty existed and that a process was undertaken to resolve that uncertainty.

Perhaps the most overlooked aspect of experimentation is the role failure plays in the process.

Many organizations view failed attempts as something to move past quickly – fail fast has become a common mantra. Prototypes that do not work, designs that are abandoned, and approaches that are ultimately rejected are often seen as inefficiencies rather than accomplishments. However, recent cases suggest these failures can actually strengthen an R&D credit claim because they demonstrate that uncertainty was real and that multiple alternatives were evaluated before a final solution was reached.

In fact, some of the strongest evidence of experimentation is often found in the ideas that did not work.

When a company can show that several approaches were considered, tested, refined, and sometimes discarded, it becomes much easier to demonstrate that a genuine process of experimentation occurred. The existence of dead ends and unsuccessful attempts often tells a more compelling story than the final successful outcome.

For business leaders, the practical takeaway is simple. Do not focus solely on documenting the finished product. Capture the journey that led there. The discussions, design revisions, testing activities, rejected alternatives, and lessons learned are often where the strongest evidence of experimentation resides.

The R&D credit was never intended to reward certainty. It was designed to encourage businesses to tackle problems where the answers are unknown. Recent court decisions continue to reinforce that principle. Companies that can clearly demonstrate how they worked through uncertainty are often in the strongest position to support their claims.

Let’s talk about it. Start a conversation with our team today.