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I strongly suggest that most sponsors still write as if FDA reviewers read slowly, linearly, and generously. My experience says the opposite: the FDA reviewer is a time-starved, human decision-maker. The reading model I constantly talk about starts from that premise. In turn, I argue that the model I espouse should change how you design every page in every document you submit to FDA and EMA.
I always argue to get the "So what?" up front (I am practicing what I preach in this article). “What planet are they from?” On a client call last week, I was challenged with this query: “Well Greg, your model of reading behavior is interesting. But how do you know it applies to people working at FDA?” That question triggered a quiet “WTF?” for me—not because the question was rude, but because of what sat underneath the query. I hear variations of the same line in my workshops:
My answer never changes: “Trust me, all regulatory agency reviewers are a carbon-based life forms like you and me. They are not from some exoplanet identified by the Kepler telescope.” The deeper problem is not skepticism about what I present as a reader behavior model. The deeper problem is a persistent myth: the FDA reviewer is an alien whose behavior sits outside normal human reading constraints and we cannot predict how they will react. This myth feels convenient. Mythology helps development teams avoid harder questions:
Many teams carry unspoken mental models of the regulatory reader:
These models create comfort stories:
The deflecting exhortations protect the development team from added discomfort. In reality, your FDA reviewer:
What my reading model really describes The model I use to explain how expert readers move through complex documents under pressure grew out of the reading research community and the evidence we have collected formally and anecdotally in conversations with regulatory agency reviewers. The observed and anecdotal behavior is clear:
The model I use is a description of high-stakes human reading: Triage → Navigate → Sample → Trace → Cross-check → Decide. If that sounds familiar to your own behavior as a clinical lead, safety physician, regulatory writer, or statistician, then I call it good. This is the point. Why our reading model applies to FDA reviewers Back to the question: “How do you know your model applies to people working at FDA?” Here is the short answer: nothing about the FDA reviewer exempts them from human cognition or organizational pressure. Four reasons matter. Shared cognitive hardware FDA reviewers are expert clinicians, statisticians, and pharmacologists. They are not endowed with extra RAM. They still:
Keep in mind: Professional training refines judgment and process. Training does not rewrite the basic limits of attention and memory. Structural pressures of the role Consider the environment:
These pressures force triage and selective reading. No one in such an environment reads every paragraph with equal depth. The reading behavior model we use represents a rational coping strategy used by agents in the FDA and EMA. Consistency across contexts What I argue as reading behavior appears in:
When context looks the same, (complex evidence, compressed time, meaningful risk) reading behavior converges. FDA reviewers are not the exception. They are the most visible example. If the reading model I describe does not apply to FDA reviewers, then this would imply the "agency" discovered a way around human cognition that the rest of us lack. No evidence supports that belief. People at FDA are indeed carbon-based life forms from good ol' Planet Earth. “How should we structure this document if our success depends on a busy human understanding the core message in one pass?” This is the question to be addressed in every document planning meeting. A final thought: If your organization wants to stress-test your current draft documents against a robust reading and decision-efficiency model, then reach out to me.
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AuthorGregory Cuppan is the Managing Principal of McCulley/Cuppan Inc., a group he co-founded. Mr. Cuppan has spent 30+ years working in the life sciences with 20+ years providing consulting and training services to pharmaceutical and medical device companies and other life science enterprises. Archives
December 2025
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