MCCULLEY/CUPPAN INC.
  • Home
  • Books
  • Consulting
    • Strategic Review
    • Assessment Services
  • Training
    • Document Standards
    • Skills Development Workshops
  • About
    • Experience
    • Client List
    • Blog
  • Contact

Why Readability Is the Hidden Currency of Medical and Regulatory Writing

9/2/2025

0 Comments

 
​Readability determines whether your document works—or fails—in practice. A protocol, briefing book,
or other regulatory submission document may be perfectly accurate, but if readers struggle to navigate
the document, they most likely waste time, may make mistakes, and likely lose confidence in the work.

Working definition: readability is the degree to which a document enables the intended readers to
quickly find, understand, and apply the information with minimal cognitive effort.

In regulatory submission documents and protocols, readability is not optional—it is risk mitigation. High readability:
  • Reduces cognitive load for busy reviewers.
  • Prevents operational errors in study conduct.
  • Speeds decision-making by presenting information logically and without clutter.
When readability breaks down, interpretive space grows, and that gap between what’s written and
what’s understood becomes dangerous.

The Hidden Cost of Poor Readability

Poorly designed documents:
  • Inflate reading timelines.
  • Trigger avoidable questions.
  • Increase site errors in clinical research protocols.
These costs often remain invisible until after the document is published and is use—when problems are
hardest to fix.

Readability in technical and regulatory documents is not a cosmetic feature—it is a competitive advantage. As Saul Carliner observed, this is the 2nd level of information design: enabling documents to perform reliably in real-world use. He also suggests that when your documents reduce cognitive strain, you build trust with readers.

The most successful submission documents I’ve reviewed are not only scientifically rigorous, they are
designed to be read.

The Writer’s Responsibility
Patricia Wright stresses the author’s role in designing readable documents: “The message is that the onus for achieving successful communication cannot be safely left to the reader. Writers need to see themselves as catalysts for the strategies that their readers adopt; and they need to be aware of the design features that promote the selection of particular strategies.”

Wright’s insight shifts accountability squarely onto the author’s shoulders. Too often, medical and regulatory writers assume that expert readers will “figure it out” even if a passage is dense or disorganized. That assumption is dangerous in regulatory contexts, where readers work under time constraints, juggle multiple documents, and must reach reliable conclusions.

​Readable writing is not about lowering standards—it is about following document design standards as
an act of responsibility. Authors shape the strategies readers use and they create conditions that
promote consistent, accurate, and rapid comprehension.
0 Comments

The Hidden Cognitive Cost of Hyperlinks in High-Stakes Documents

9/2/2025

0 Comments

 
​Hyperlinks are everywhere—in protocols, briefing books, submission documents, SOPs, policy manuals, and training guides. Their siren song promises speed, efficiency, and instant navigation.

In Greek mythology, the Sirens’ enchanting melodies lured sailors off course and onto rocky shores. Hyperlinks can work the same way: they invite you to click, to leave the safe harbor of your main discussion or argument in search of something interesting, only to risk losing your place, your context, and sometimes the point entirely.

In clinical research protocols, they may link eligibility criteria to lab thresholds, dosing schedules to product handling instructions, or definitions to appendices. For AI and other automated tools, these links are gold: they can map relationships between sections, create a machine-readable network of content, and cross-check for consistency.

For human readers, however, hyperlinks come with a trade-off: every link is a micro-decision. When you see a hyperlink, your brain has to ask:
  • Should I stay or should I go now? (to borrow a line from the music group The Clash)
  • Will I lose my place if I follow it?
  • Will it answer my question, or lead me somewhere irrelevant?
That momentary pause—repeated dozens of times in a dense protocol or Module 2 summary—splits attention, interrupts flow, and increases the risk of losing context. Cognitive science calls this the split attention effect. This is when a reader must divide focus between two information sources, the effort of mentally integrating them increases cognitive load and reduces comprehension. In high-stakes documents, that extra mental friction can mean slower decisions, missed connections, or misinterpretation of the intended message.

In operational documents like clinical trial protocols, GxP SOPs, or emergency response manuals, these interruptions are more than an inconvenience. They can delay decisions, increase errors, and erode compliance.

In regulatory briefing books and Module 2 documents, hyperlink interruptions can undermine both efficiency and precision. Each click risks pulling reviewers away from the main argument, breaking the logical chain that supports a decision. Re-orienting after navigating to annexes, study reports, or external references slows the evaluation process and can erode the clarity of your case. Strategic hyperlinking should serve the narrative—pointing to critical evidence only when it truly strengthens comprehension—rather than scattering attention across disconnected content.

Another trap in protocol and submission writing is embedding full source links directly into the main
narrative, as if the link itself proves transparency or credibility. In practice, this type of linkage clutters
the discussion, distracts the reader, and breaks the flow. Demonstrating a link to source is
essential—but the primary text should focus on instruction, reasoning, interpretation, or conclusion.

Make the appearance of secondary and tertiary links as subordinate as their intention. Use super script notation to link to footnotes, references, or appendices. The goal is to make these supportive connections accessible without becoming visual speed bumps for your reader.

Like the sailors of myth, regulatory and medical writers must recognize when the Sirens are singing. Hyperlinks can be useful guides, but if they tempt the reader away from the main course of the discussion or argument, the hyperlink risks wrecking clarity on the rocky shores of distraction. The safest passage is not to silence the Sirens, but to decide when their song strengthens the voyage—and when it should be left unheard.
0 Comments

​The Dangerous Habit of Letting Draft 1 Do Your Thinking

7/29/2025

0 Comments

 
Why the “Do” Must Precede the Draft in Regulatory Writing
Why do regulatory teams treat Draft 1 like a mirror—something to react to—rather than a blueprint for strategic thinking? Because reacting feels easier than planning. But that shortcut costs time, clarity, and purpose. It’s easier to critique a sentence than to commit to a message. Yet regulatory writing demands something more deliberate: the “do.”

The “do” is the document’s core function—what you want the regulatory reader to
understand, agree with, or act on. If that function isn’t clear, you’re not writing strategically.

You’re just filling pages.

When Draft 1 drives the thinking, documents lose purpose—and teams lose time. Real thinking often begins only after Draft 1 is written. By then, the window for deliberate planning has already narrowed.

I raised this point with my consulting partner, Stephen Bernhardt. We discussed creating a heuristic tool to guide early drafting. I pushed back: “That assumes teams are willing to think hard before they write.” In my experience, they are not. Most treat Draft 1 as the start of thinking—not the result of it.

Medical writers routinely build shells—basic outlines mistakenly called “prototypes” (a separate issue I’ll explore in a future article). These pseudo-prototypes often get ignored.

Why?
  • They feel incomplete: Skeleton drafts with headings or placeholder bullets don’t trigger urgency. Teams say, “This feels like an outline—we’ll get to it later.”
  • They feel premature: Teams often conflate writing with thinking. They wait to engage until the draft sounds polished. Prototypes, by contrast, demand early decisions.
  • They feel threatening: A good prototype raises hard questions: What’s the message? What’s the structure? What are we trying to prove? These questions shift stakeholders from passive reviewers to active contributors—before they feel ready.
Prototype reviews often fail because no one makes a formal ask. No guided questions. No
consequences for silence. The path of least resistance is to do nothing: “I’ll wait for the full
draft.”

Many teams also delay message planning until the full data set is locked. But by then, it's too
late to shape the narrative—only to react to it.

Another problem, if leadership doesn’t engage, neither will the rest of the team. Reviewers take their cue from the top.

The real issue? Teams skip the pre-draft choices that matter most: defining the document’s purpose, aligning on its message, and designing its logic. Teams avoid thinking about information design—the deliberate structuring of content to make key messages discoverable, logically sequenced, and aligned with the reader’s task.

Instead of planning, teams treat the first draft as a mirror—using it to react rather than to
think.

The Problem: Drafting Replaces Thinking
When Draft 1 stands in for strategy, documents suffer. People drop into surface-level edits. They tweak sentences, debate word choices, and micromanage formatting—without questioning the logic beneath it. Few ask: Should this section be saying these things in this way? Fewer still ask: What is this section supposed to do for the regulatory reader? Most cannot answer those questions. I know—because it’s the first thing I ask in every workshop I run.

In this dynamic, writing becomes the trigger for strategy, rather than the output of it. When
teams treat the draft as a heuristic for meaning, it signals deeper problems:
  • Avoidance of upstream decisions: Editing words is easier than confronting uncertainty about message, logic, or evidence.
  • Lack of document function clarity: Teams assume documents are meant to “report.” Report what? Data? A document should argue, justify, or demonstrate—not simply display.
  • Mistaking writing for thinking: Drafting is execution. The strategy should come first. This habit isn’t just inefficient—it’s risky. It leads to documents that:
  • Drift from purpose because none was defined
  • Respond to language rather than logic
  • Dilute the message under the illusion of refinement
By the time the team starts asking the right questions, the draft has already become an anchor. Once written, inertia sets in. The document looks finished—even though the thinking isn’t. That’s when teams
start rearranging deck chairs on the Titanic—refining detail while ignoring structural failure.

A Better Way Forward
The fix is simple—but not easy: stop letting Draft 1 lead the thinking.
Instead:
  • Define what the document must do—not just what it must say. Start with function.
  • Plan the message before writing. What’s the claim? What’s the evidence? What’s the logic?
  • Use Draft 1 for execution—not exploration.
  • Tackle the real questions early

Closing Thought

When documents are drafted before critical thinking is complete, teams end up managing words—rather than shaping arguments. Regulatory reviewers can feel the difference. I know this from years of feedback and firsthand conversations.

Before writing a single sentence, ask:
  • What do we want the regulatory reader to understand or do—because of this document?
  • If the answer isn’t clear, you’re not ready to draft.

Writing without purpose isn’t progress. It’s risk.
0 Comments

​Why Regulatory Writers Need to Prototype Smarter

7/29/2025

0 Comments

 
Drug development regulatory submission documents are among the most structured documents in
existence—and yet they are often developed in the most chaotic way. As I mentioned in my previous
article, teams wait too long to think, treating Draft 1 as the beginning rather than the outcome of
deliberate information design planning.

Instead of aligning early on logic, purpose, and reader needs, teams begin reacting to prose—often in
the form of a partial draft or outline labeled as a “prototype.”. The result? Wasted cycles, misaligned
arguments, poor document flow, and late-stage rework that drains time and undermines
confidence—especially in mission-critical documents like Clinical Study Reports and the eCTD Module
2.5 Clinical Overview.

I suggested in my previous article that development teams need to reconsider what they are generating
as document prototypes. Most teams mistake an outline for a prototype. But there’s a key difference:
  • An outline shows you what sections and details to fill in.
  • A prototype shows you how the thinking should unfold.
Outlines help establish the physical architecture of a document. However, I suggest what really counts is
the establishment of the intellectual architecture of the document. The “So what?” and the “Why?” that
are at the core of evaluating, justifying, and arguing.

This is the foundation of regulatory writing. After all, the purpose of a submission is not to describe—it is
to evaluate, justify, and argue. Those three writing actions sit at the heart of how health authorities
assess benefit–risk.

From “Primitive Forms” to Design Thinking
The word prototype comes from the Greek prototypon—meaning “primitive form” or “original model.”
Historically, the concept of building rough models or mock-ups has existed for centuries. However, it
was not until the late 1960s that prototyping emerged as a recognized approach in document
information design.

In software, prototyping gained traction in the early 1970s as an explicit strategy to manage evolving
requirements. Winston Royce—often miscredited with creating the Waterfall model—emphasized the
importance of incorporating prototyping within code writing to reduce risk. By the 1990s, “document
prototyping” became mainstream in many industries that demanded logic and tracebility.

Prototyping is not about language and shell tables. It is about early validation of logic, flow, and
alignment. A concept that is either poorly understood or undervalued in many Pharma houses.

Prototyping as Structured Thinking
A real prototype is not a template filled in with placeholder XX, Y% and p-value of 00.0X. A prototype is
the framework for judgment. A prototype helps teams clarify what each section must do—not just what
it must include.

​One powerful tool to use is a prototype planning matrix, which breaks down each section into five core
elements:
Heuristic Matrix
This is the logic scaffold that the decision-making regulatory readers are looking for.

​Let's walk through an example:
Picture

Keep in mind the “So what?”
The message is not a study endpoint. The message is a decision in sentence 
form. The data supports that decision, but the message must guide how the data is presented and evaluated.

Teams tell me all the time, “it is all about the data.” I get it. It is indeed about the data. So, during

prototyping is the time to make the data needs visible. Where do you need a table, figure, or reference?
Too many teams wait until late in the document lifecycle to consider what tables or figures will help
carry their argument in a Clinical Overview.

Writing Actions and Functional Thinking

In my approach, each part of the prototype needs an associated thinking task. What does this section
“do” for the reader. It is not about the reporting, it is about the doing:
  • Analyzing variability, relationships, trends
  • Evaluating strength of evidence
  • Justifying choices and interpretations
  • Synthesizing findings across studies
  • Arguing a benefit–risk conclusion
A prototype needs to be centered on function— is not about what the team wants to say. It’s about what the document must accomplish. That means designing—yes, designing—documents that are fit for function.

A strong prototype exposes reasoning, not just structure. It shows how the argument flows, where the

evidence lands, and whether the logic holds—before prose locks your thinking into place.

++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
New Article: Why Regulatory Writers Need to Prototype Smarter
In drug development, we create some of the most structured documents in the world—yet they’re often
developed in the most chaotic ways.

Too many teams treat Draft 1 as the start of thinking, rather than the outcome of it.

In my latest article, I explore why regulatory submission documents—especially eCTD Module
2.5—require prototypes that reveal logic, not just structure. I walk through the difference between
outlines and prototypes, introduce a five-part heuristic planning tool, and share examples of how to
build prototypes that support decision-making for regulatory readers.

It’s not about formatting—it’s about function.

It’s not about writing early—it’s about thinking early.

Read the full article here: https://www.linkedin.com/pulse/why-regulatory-writers-need-prototype-
smarter-gregory-cuppan-solmc

Let me know how your team approaches document prototyping—and what gets in the way of doing it

well.
0 Comments

When Elegant Writing Masks Flawed Thinking in Regulatory Documents

7/2/2025

0 Comments

 
​In regulatory writing, fluency is often praised. To a fault, I might add. Documents that “read well” are
seen as polished, professional, and persuasive. But fluency can be deceptive. A troubling phenomenon is
increasingly visible across high-stakes submission documents that I can access: writing that is elegant,
but logically unsound.

​The Problem: Elegant Nonsense
​

These are documents—often Clinical Overviews, Briefing and AdComm Books, or 2.7 Summaries—where
the language flows, the sentences vary in rhythm and length, and the vocabulary sounds convincing. But
when you interrogate the logic underneath, something’s missing. There is no connective reasoning. The
claims float. The evidence is absent, circular, or only loosely linked.

I call this elegant nonsense—writing that sounds intelligent but lacks logical structure or evidentiary
support.

Examples of Elegant but Hollow Writing
  • Circular Conclusions:
    “The results demonstrate strong efficacy, which is consistent with the robust outcomes observed.”
    (No new idea. The sentence loops.)
  • Vague Synthesis Disguised as Insight:
    “Taken together, the data provide a compelling case for a favorable benefit-risk profile.”
    (Taken together how? What trade-offs? What reasoning?)
  • Hedged Fluency:
    “The observed improvements, while preliminary, suggest a potentially meaningful clinical impact inselected populations.”
    (So… is there impact, or not? “Suggest” is a hedge added to another hedge “potential.” Is there any meat on the bone?)
  • Precision Without Purpose:
    “Statistically significant improvements were observed across all measured endpoints (p < 0.05).”
    (And the relevance is…? Statistical significance is not a conclusion—what does this observation mean clinically?)
  • Inference by Adjective:
    “In the largest study ever conducted in this patient population, these robust results demonstrate this novel therapeutic treatment offers a promising approach in a challenging disease setting.”
    (All the right words—none of the actual thinking. Largest study does not equate to being an appropriate and well controlled study. What makes the results ‘robust'? 'Novel' and 'promising' are evaluative fillers. What evidence supports this promise? What challenge is being satisfied?)
  • Fluent Reporting without Interpretation
    “Over a median duration of follow-up for the primary endpoint of 4.7 and 4.5 years, respectively, a primary endpoint event occurred in 17.2% (705/4089) of patients in the icosapent ethyl group, as compared to 22.0% (901/4090) of patients in the placebo group over the median 4.9 year follow-up (HR of 0.752 [95% CI: 0.682 to 0.830; p=0.00000001]; RRR of 24.8%; absolute risk reduction [ARR] of 4.8%; and number needed to treat [NNT] of 21). Thus, the primary endpoint was met, demonstrating a substantial and statistically significant lower risk of major adverse CV events with icosapent ethyl than with placebo.”
    (The passage piles up quantitative data but never explains why these results matter or how to interpret the magnitude of benefit. “Substantial and statistically significant” is a stylistic conclusion. What does 'substantial' mean in this clinical context? Substantial compared to what? For whom? At what cost or risk?)
These examples are not rare—they are systemic. But what makes this kind of writing so persistent in
high-stakes submission documents?

Why This Happens
  • Over-reliance on polished templates or legacy phrasing
  • Desire to “sound smart” in high-stakes documents
  • Misunderstanding fluency as a proxy for rigor
  • Fear of being too direct, especially with uncertain or marginal data
But the result is the same—writing that passes the eye test but fails the decision test.

Why It is Dangerous
Regulatory readers are trained to look beyond the language. They must detect bias, weigh risk, evaluate strength of evidence, and make yes/no decisions under pressure. When documents rely on polished language to mask weak thinking, reviewers lose confidence—not just in the section, but in the entire argument. This is the affective level of information design, as suggested by Saul Carliner.

Carliner noted that when writing feels effusive (demonstrative, lavish) or evasive, then the writing erodes the reader’s trust—not only in what is stated, but in why it is stated that way. In regulatory contexts, that erosion is consequential: it casts doubt on the sponsor’s judgment and forces the reviewer to work harder to separate signal from gloss.

Elegant writing that lacks rigor is not just ineffective—it can be misleading.

How to Spot and Fix It
Interrogate every conclusion
– What is this based on? Where’s the data? Is the reasoning clear?

Replace vague synthesis with structured logic
– Instead of “Taken together,” show how the pieces fit.

Simplify to clarify
– If the sentence reads like corporate poetry, ask: is it hiding uncertainty?

Separate fluency from function
– Does this paragraph sound good, or does it do its job?

Consider the phrase: “This study is adequate and well-controlled.”
The phrase appears routinely in regulatory documents—concise, confident, and aligned with regulatory
guidance language. But unless the concepts are substantiated, this sentence is nothing more than
elegant shorthand.

Why It Sounds Smart
It mimics the regulatory lexicon (such as 21 CFR 314.126).
It conveys confidence in the study's design.

It’s often used to bridge to conclusions about efficacy or labeling claims.

Why It May Be Elegant Nonsense
If the surrounding text contains no analysis of the “whys” for:
  • control group selection
  • blinding or randomization method
  • endpoint appropriateness
  • sample size justification
  • protocol amendments
  • protocol deviations
  • participant heterogeneity
Then the phrase is merely a performative placeholder—an assertion dressed up as evidence. The writing
must move from elegance to substance.

Another Example: “The Safety Profile Was Manageable”
This phrase shows up in nearly every Clinical Overview and Summary of Clinical Safety I read. The phrase
suggests confidence, but what does it actually mean?

Why It Sounds Smart

It’s concise and optimistic.
It implies clinical actionability—something prescribers and regulators care about.

Why It May Be Elegant Nonsense
“Manageable” sidesteps reasoning. The term offers a verdict without evidence. I suggest that without explaining what was managed and how, this phrase is:
  • Subjective (manageable for whom? under what conditions?)
  • Empty (not tied to severity, reversibility, or impact)
  • Misleading (may mask dose holidays or reductions)
The phrase has become a narrative crutch, offering the appearance of interpretation while avoiding the
informative work. “Manageable” carries a positive emotional valence (“feel good factor”) without
conveying analytical substance. It is language designed to reassure, not inform.

Bottom Line
Polished phrases like “adequate and well-controlled” or “manageable safety profile” only serve the
reader when tethered to evidence and logic. Elegant language that obscures complexity—or avoids
specifics—undermines trust in the message. In regulatory writing, clarity must be earned. You make a
claim, you better prove it.

A Better Standard
The goal of regulatory writing is not to sound polished. The goal is to communicate rationales for
interpretations and decisions—clearly, truthfully, and logically.

Regulatory decisions shape public health. Regulatory reviewers must decide under pressure, with
limited time. Our job as writers is not just to report and write elegant prose—but to demonstrate
thinking on the page.

Writing that hides uncertainty or skips reasoning does not just fail the reader. It fails the process.
  • Let elegance serve clarity.
  • Let language serve logic.
  • Let writing serve decisions.

Also published to LinkedIn July 2, 2025. https://www.linkedin.com/pulse/when-elegant-writing-masks-flawed-thinking-regulatory-gregory-
cuppan-qmmrc
0 Comments

Lean Writing Does Not Mean Lazy Writing

7/2/2025

0 Comments

 
In my observation of efforts to embrace lean writing across regulatory submission documents, I find a troubling trend has emerged: I am seeing lazy writing, not lean writing.

Pharma clients are increasingly voicing concerns that critical content—especially in key “end-game” submission documents like Module 2.5—is being trimmed so aggressively that essential context, rationale, and reader guidance are vanishing altogether. In some submissions, a placeholder sentence has replaced the entire substance of a required overview discussion. For example I have found the following in a Clinical Overview I was asked to review: "For Pop PK, refer to Section 2.7.3.x. Where the text states: No concerns regarding intrinsic or extrinsic factors. For full details, refer to 5.3.3.x."

This is not lean writing. This is abdication.

I expect the discussion of Pop PK in the Clinical Overview to provide a concise but informative synthesis that supports the understanding of dose selection, variability, and applicability across patient subgroups. I want a high-level summary on the data sources and modeling approach. I do not want to leave the document to learn these details. Remember, the busy, selective regulatory reader's needs are immediate, not later. Give me the "So what?" here and I will decide if I want to follow the link.

Cutting to the Bone (or Into It)
The intent of lean writing is to eliminate noise, not substance. Lean writing means focus on what a section is to “do” and what is the “So what?”. Lean writing is about reducing clutter—repetition, irrelevance, hedging, verbosity—not impacting clarity, logic, or the reader’s ability to understand, navigate, and assess.
The "write it once and refer" principle does not mean we get to skip the responsibility of previewing what is important, or overviewing the details that support the “So what?” and why the details matter.

Lean Writing Is a Reader-Centered Discipline
Lean writing is not about writing less—it is about writing smart. Lean writing designs information to reflect reading behavior. Lean writing anticipates the reader’s questions and designs plans to provide a clear response. The lean writing style builds scaffolding within a section so the reader can move efficiently from “So what?” overview to evidence and analysis. Lean writing provides the mental handles that allow the reader to judge the relevance, reliability, and meaning of the details found elsewhere. Lean writing reduces noise, not meaning. And meaning needs structure, context, and care. Hyperlinking without context and care for the reader is not lean. It is lazy. The busy, decision-making regulatory reviewer is not looking for breadcrumb trails. They are looking for clarity, logic, and confidence that you, the Sponsor, got the “So what?” right.
https://www.linkedin.com/pulse/lean-writing-what-we-want-lazy-gregory-cuppan-etufc
0 Comments

Clarity in Motion: How Writing Actions Drive Plain Language in Regulatory Documents

6/19/2025

0 Comments

 
​You’ve heard it before: plain language is essential to effective regulatory communication. I have
discussed this topic many times—writing that avoids jargon, long sentences, and convoluted phrasing
improves readability. But here is the problem: plain language does not always help the reader
understand what matters—or what to do with the information.

A sentence may be grammatically simple, technically correct, and jargon-free—and still be useless to a
regulatory reviewer or clinical research manager trying to make a decision. Clarity is not just about
words. It is about what those words are doing. That is, the action of meaning.

Action of meaning refers to how writing should do more than just state facts. The action within writing is
shaping how facts are understood. The approach involves selecting, organizing, and connecting
information so that the reader grasps why it matters. In regulatory writing, the action is to turn data into
insight and support decision-making.

Plain language is necessary—but not sufficient. To achieve true clarity in regulatory
documents—especially those designed to inform regulatory judgment—we need more. We need writing
actions: carefully orchestrated rhetorical moves that position, prioritize, and connect information with
intent.

What Are Writing Actions? Writing actions are deliberate moves that shape how information is
delivered. Each action—such as previewing, overviewing, summarizing, and synthesizing—serves a
distinct purpose, helping the reader understand what’s being said, why it matters, and how to act on it.
These actions give structure and direction to plain language text. The actions guide attention and
support decisions.

What Plain Language Does Well

When done well, plain language:
  • Reduces sentence complexity
  • Removes unnecessary jargon
  • Improves accessibility for time-constrained and multilingual readers
  • Helps avoid ambiguity and interpretive drift
Plain language makes content easier to decode. But decoding is not the same as understanding.

Where Plain Language Falls Short
Even a well-written sentence can feel out of place if it does not:
  • Serve a clear function in the paragraph or section
  • Connect to what came before or what’s coming next
  • Support the document’s argument, evaluation, or justification
Plain language improves readability. Writing actions improve clarity to enable usability.

In the book I co-wrote with Stephen Bernhardt --Writing for the Biopharmaceutical
Regulatory Reader (2nd Edition)
—we dedicate over 60 pages to discussing 11 writing
actions. We consider these actions to be the rhetorical moves that turn information into
insight.
Four Writing Actions That Boost Clarity
1. Preview
Previewing sets expectations. The writing action is a “framing” technique. The action
positions the reader to absorb the information with the proper context and connect it to
the larger purpose of the document.
Example:
This section evaluates the safety profile of the investigational monoclonal antibody
using pooled data from five 26-week studies conducted in North America, Europe, and
East Asia. The focus is on treatment-emergent adverse events, serious infections, and
discontinuations. Data from subgroups—by age, comorbidity, and prior biologic
use—are also included to support regulatory interpretation of risk across diverse patient
populations.

Why it works:
  • Starts with action: evaluates the safety profile
  • Establishes context: pooled, multi-regional, 26-week studies
  • Signals structure: TEAEs, infections, discontinuations
  • Aligns with regulatory expectations (subgroup analyses)
  • Lean and purposeful (3 sentences, ~60 words)
Another strong preview example comes from an ODAC briefing document prepared by a FDA medical
review team.
Example:
This document discusses the relevant data from individual studies leading to the approvals of nivolumab
and pembrolizumab for the first-line treatment of unresectable or metastatic HER2-negative gastric
adenocarcinoma as well as the data submitted to support approval of tislelizumab for the same
indication. The aggregated experience with these independent trials and products provides a framework
to discuss the strength of evidence for PD-L1 expression as a predictive biomarker for patient selection in
this patient population, differing risk-benefit assessments in different subpopulations defined by PD-L1
expression, and adequacy of the cumulative data to restrict the approvals of immune checkpoint
inhibitors based on PD-L1 expression.

Why it works:
  • Establishes purpose and scope without repeating background
  • Outlines the analytical framework: predictive biomarker value, subgroup risk-benefit, and adequacy of evidence
  • Uses neutral, forward-looking language—this is setup, not conclusion

2. Overview
Overviews are selective, not comprehensive. Overviews highlight the most important ideas in a
document, section, or dataset. The writing action is to orient the reader to the "So what did we learn?"
message or key findings. Overviews often use interpretive language that signals importance but defers
delivery of precise numerical support to later sections of the document.
Example:
The clinical trials have demonstrated DTG’s antiretroviral activity and safety in various settings. Key
safety observations include:
  • No clinically significant trends in post-baseline-emergent hematology abnormalities
  • Limited safety implications from theoretical or actual drug–drug interactions
  • Renal safety profile comparable to RAL and EFV in Phase III studies
  • Hypersensitivity is an uncommon but recognized risk
  • Drug-related hepatitis is uncommon across all populations and doses
  • No increased risk of torsade's de pointes
Why it works:
  • Signals safety dimensions: hematology, DDIs, renal, immune, hepatic, cardiac
  • Prepares the reader for deeper analysis in coming sections
  • Frames the discussion without over-interpreting
  • Uses bullets for fast retrieval and pattern recognition
Overviews differ from summaries. Overviews come first—they orient the reader to the scope and
structure of the content that follows. Summaries come later—they distill key details after the content
has been presented.

3. Summary and Synthesis: Writing Actions That Inform
If preview and overview frame, then summary and synthesis inform. These writing actions appear after
data presentation to help the reader interpret and apply what they have just consumed.

Summary distills the most important details. A summary does not repeat the data—it distills and
prioritizes. Summaries help readers confirm “So what?” messages, locate key conclusions, and prepare
for comparison across family or families of data.
Synthesis goes further. This writing action is all about connection. The writing action links evidence
across trials, endpoints, or populations—identifying relationships, patterns, and meaning. Synthesis is
essential when articulating benefit-risk tradeoffs, justifying dose, or drawing conclusions across complex
data sets.
Together, these actions help readers move from detail to decision. Summarizing and synthesizing are
not reporting—the actions are to distill and contextualize.

Final Word: Activate Plain Language with Purpose
Plain language improves reader access, but writing actions give meaning and direction to language.
Preview and overview frame expectations and focus attention. Summary and synthesis inform the
reader—distilling evidence, revealing connections, and guiding decisions. Together, these writing actions coupled with plain language writing make regulatory documents clearer, faster to navigate, and more
useful to those who must act on them. Clarity in regulatory writing is not only about managing
paragraphs, sentences, and words. It is about activating them with purpose. That is, enabling the action
of meaning.
0 Comments

What Makes A Great Medical Writer?

4/25/2025

0 Comments

 
Picture
Regulatory writing is often misunderstood as simply the ability to craft technically correct, well-structured sentences and to organize content within templates. In reality, great regulatory writers are strategic thinkers, skilled analysts, and expert communicators who bridge science and regulatory expectations.

While strong writing is foundational, what truly sets great regulatory writers apart is their ability to think like regulatory reviewers. Many of you reading this article have heard me say in workshop sessions that “every great writer is always thinking about their reading audience and what their audience needs in documents to facilitate decision-making.” Great regulatory writers bring scientific fluency, regulatory insight, information design skills, and a deep understanding of how health authorities read and decide.

Scientific and Regulatory Fluency
Great regulatory writers do not just write about science—they understand it. Their fluency spans:
  • Clinical trial design – Knowing how studies are structured, analyzed, and reported.
  • Pharmacology and therapeutic context – Understanding mechanisms of action, PK/PD, and safety considerations.
  • Regulatory expectations – Navigating FDA, EMA, PMDA, and ICH guidance with confidence.

While an average writer transcribes and rewords SME input, a great writer interrogates the data, anticipates regulatory questions, and frames key arguments. They engage SMEs with targeted questions, uncover rationales, test assumptions, and shape content into precise, persuasive messaging. Collaboration becomes a strategic dialogue—not just an information handoff.

Strategic Thinking and Persuasion
Regulatory briefing books and Module 2 dossiers are not neutral summaries—they are interpretive and often persuasive instruments. Whether drafting a Clinical Overview or responding to agency queries, great writers shape how the data is understood and weighed. That’s where advanced writing actions come in:
  • Justify – Writers explain why a design, method, or decision was sound, drawing on evidence, precedents, and clinical logic. For example, justifying a single-arm trial due to disease rarity or unmet need.
  • Argue – Writers build structured cases: making claims, supporting them with data, and addressing counterpoints. Argumentation is central in briefing books, Clinical Overviews, and benefit-risk assessments.
  • Interpret – Writers do not just report results—they make the results meaningful. For example, they show what a treatment effect implies contextually in a patient population and how the interpretation supports approval.
Strategic writers weave together data, rationale, and regulatory expectations to guide the reader toward a clear, supportable “So what?” conclusion.

From Data to Knowledge: Mastering the Continuum
Perhaps the most critical competency of great regulatory writers is transforming data into regulatory knowledge—a progression essential to support effective regulatory decision-making:
  • Data: Raw clinical and statistical outputs.
  • Information: Organized summaries, tables, and figures.
  • Knowledge: Interpretation that answers “What does this mean for approval?”
Great writers move beyond reporting to deliver actionable insights. They help regulatory readers see the
implications of the data—and how those implications align with policy, precedent, and public health
goals.

Information Design: Optimizing for Decision-Making
Great regulatory writers are also information designers. They understand how layout, structure, and hierarchy support—or hinder—regulatory decision-making. Good information design lowers cognitive load and accelerates comprehension.

Great writers adapt their approach based on document type, review timelines, and information volume. They help regulatory readers by:
  • Placing key insights where readers expect them (that is, top of sections and preceding tables and figures).
  • Minimizing redundancy to reduce reader fatigue.
  • Using formatting and white space to support navigation and retention.
These writers do not just present data, they design documents to enhance regulatory reader cognition.

Final Thought: Great Writers Think Beyond Writing
The best regulatory writers are not just technical specialists. They are strategic partners who combine
writing with science, persuasion, design, and foresight. They transform information into knowledge—and knowledge into action.

Check out my LinkedIn to see what others are saying about this article: ​https://www.linkedin.com/in/gregorycuppan/

0 Comments

Does FDA Reviewer Turnover Justify Bulky Regulatory Submission Documents?

4/9/2025

0 Comments

 
A few weeks ago, during a workshop on lean writing for regulatory submissions, I was hit with this
challenge from a participant:
“Greg, we overload documents with details and redundancies because of the huge FDA Medical
Review Officer (MRO) turnover. We need to make it easy for new people. New reviewer, limited
context—we’ve got to give them the story in one place.”

​
He cited some details that I’ve since seen echoed elsewhere:
  • FDA medical reviewer turnover in some divisions exceeds 20% annually.
  • Average tenure for a medical review officer in certain therapeutic areas is just 2.1 years.
  • GAO reports and workforce modernization plans note that high turnover disrupts continuity and institutional knowledge.
  • Junior staff are often thrust into senior decision-making roles prematurely.
The concern is reasonable, but the approach is wrong. Here’s the distillation of my response:

High turnover isn’t an argument for long, dense documents—it’s an argument for leaner ones.
Why?
  1. Time is short. Overloaded reviewers juggling multiple applications don’t have the bandwidth to wade through bulky documents and ambiguous prose.
  2. Verbosity creates risk. Inconsistent repetition and vague writing increase the odds of misinterpretation—especially if submission work is handed off midstream.
  3. Volume of information is rising. Larger, more complex studies with more endpoints. Therefore submission loads are up. You cannot mint more hours in a day, you can only take more days to review what has been submitted.
  4. RFIs are increasing due to complexity. Unclear writing that is ambiguous, redundant, and provides few answers likely leads to more clarification requests and back-and-forth exchange with FDA regulatory agents.
  5. NLP tools are here. For instance, FDA rolled out Project Sentinel in 2017 for triaging safety information. NLP is being explored to automate the review of clinical trial protocols and extract key elements and also in analysis of real world evidence. This means lean writing applying clarity, cohesion, and consistent structure are not just helpful; they’re increasingly necessary.
Still, I wanted to sharpen the counterargument—so I asked my consulting partner Stephen Bernhardt to
weigh in with his thoughts:

Steve commented,
The upside is your workshop participant is thinking about the reviewer’s situation—and that’s good. But
let’s flip the logic.
If I’m new to a review, I don’t want more content. I want better content. What does “better” look like? I
suggest the following:
  • Well-designed IBs and Briefing Books with up-to-date information and clear links to key learnings
  • Background sections that offer context, not an exhaustive history.
  • Section previews and topic sentences that help me quickly scan and sort what I need to read.
  • Clear visual design not just for tables and figures, but for text as well. Smart information design is needed to make processing easier.
  • Frontloaded main messages in all sections and clear implications that address the “So what?”Navigation cues explaining why I might want to follow a hyperlink and consult another document.
What do new reviewers actually need? The same thing everyone else needs: Documents designed for
rapid comprehension.

And here’s a question I often asked development teams when consulting:
“When you’ve been new to a project, what helped you get up to speed? What slowed you down?”
I cannot recall anybody telling me: “Longer documents would’ve helped.”


Greg (closing thought):
I understand how people worry that lean writing leaves out what they believe is essential context. We
are dealing with conditioned behavior built up in people who are used to seeing obese documents. But
the real risk is this: bloated documents make it harder for new reviewers to find what they are looking
for, understand the “So what?” and then take action—that is, make a decision.
Steve (closing thought):
Let's trust our instincts that tell us that often less is more and that busy readers will thanks us for
documents that are designed to help them make good decisions.

What do you think?

Have you faced similar pushback when advocating for lean regulatory writing? How do you respond to
the “but reviewers need everything in this document, we gotta be transparent, we gotta make it easy
for them by putting everything in one place” argument? Please share your thoughts.
0 Comments

The Impact of ICH E6 (R3) on Protocol Development – Practical Implications for Protocol Writers

4/3/2025

0 Comments

 
also published on LinkedIn March 16, 2025

The recently published ICH E6 (R3) Good Clinical Practice guidance is set to bring significant changes to the development of clinical trial protocols. The European Medicines Agency (EMA) has adopted E6(R3) Principles and Annex 1 to take effect on July 23, 2025. Other ICH member nations and regions are still in the process of considering E6(R3) implementation. Additionally, Annex 2, which provides guidance on pragmatic and decentralized clinical trials as well as trials incorporating real-world data, is expected to be finalized by ICH later this year.

As the biopharmaceutical industry continues to evolve toward more complex and adaptive study designs, clinical development teams and protocol writers must align expectations and approaches with these new regulatory expectations. Understanding the key updates in ICH E6 (R3) and their practical implications in enhancing protocol clarity, compliance, and efficiency is essential for those involved in protocol development.

Key Changes in ICH E6 (R3)
The primary goal of ICH E6 (R3) is to modernize GCP guidance by emphasizing quality by design, risk-based approaches, and data integrity. The guidance states the following:
  • The scientific objectives of any trial should be clear and explicitly stated in the protocol.
  • The clinical trial protocol as well as the plans or documents for the protocol execution (that is, statistical analysis plan, and monitoring plan, should be clear, concise, and operationally feasible.

Some of the major (R3) updates that impact protocol development include:
  1. Quality by Design (QbD) Principles – Protocols must integrate risk-based thinking from the outset. This means sponsors will have to proactively identify and mitigate risks throughout the trial lifecycle—from design to conduct and to reporting.
  2. Greater Emphasis on Risk-Based Monitoring – ICH E6 (R3) stipulates protocols should clearly define critical-to-quality factors that influence study reliability and patient safety. Regulatory experts stress that ICH E6 (R3) reinforces risk-based quality management as a core requirement, urging sponsors and CROs to adopt proactive risk identification in study design and monitoring.
  3. Clarification of Roles and Responsibilities – This section was added to provide clearer expectations for all clinical stakeholders involved in a clinical research project.
  4. Increased Focus on Data Integrity and Transparency – Protocols must outline data collection, handling, transfer, analysis, and security measures in a way that ensures reliability and reproducibility. The guidance also mentions that the information collected on each study participant is scaled to address the trial objectives.
  5. Flexibility in Study Design – The revision recognizes the growing use of decentralized clinical trials (DCTs), adaptive trial designs, tele-health, remote data collection, and real-world evidence approaches.
  6. Patient-Centric Considerations – There is an increased focus on patient involvement in study design to enhance protocol feasibility and recruitment, and reduce participant burden.


To align with these changes, protocol writers must consider the following concepts:
Structuring Protocols with a Risk-Based Mindset
  1. Clearly define how study objectives link to study purpose and prioritize critical-to-quality factors. This concept is all about rationale. In essence, put into writing that is clear and concise how the study will answer the research question.
  2. Minimize unnecessary complexity by focusing on essential study parameters.
  3. Integrate risk mitigation strategies directly into protocol sections. This concept will require concise and precise language.

Enhancing Clarity in Monitoring and Data Collection Plans
  1. Define data collection processes in the protocol with an emphasis on data quality and integrity. This principle now requires more than just saying what we are doing. There is a need to offer rationale of why this plan.
  2. Specify risk-based monitoring approaches tailored to the study design.
  3. Ensure consistency between protocol procedures and study oversight plans.

Addressing Decentralized and Adaptive Study Considerations
  1. Incorporate clear guidelines for remote data collection and telemedicine visits. Hereto, we are talking about ensuring the representation of concepts are clear and written with precise language.
  2. Ensure flexibility in study designs is clearly documented and will maintain regulatory compliance.
  3. Detail the conditions under which protocol modifications may be implemented without compromising scientific rigor.

Strengthening Patient-Centered Language and Accessibility
  1. Use plain language principles where possible to enhance protocol readability for all stakeholders. This concept is grounded in all the principles of lean writing.
  2. Clearly describe participant responsibilities, visit schedules, and expected study burdens.
  3. Incorporate input from patient advocacy groups where it is feasible to improve study design.


Conclusion
ICH E6(R3) ultimately aims to improve trial efficiency, participant experience, and data reliability. Protocol writers will play a critical role by translating these updated regulatory expectations into clear, actionable, and compliant documents.
0 Comments
<<Previous
Forward>>

    Author

    Gregory 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.

    View my profile on LinkedIn

    Archives

    December 2025
    November 2025
    October 2025
    September 2025
    July 2025
    June 2025
    April 2025
    August 2019
    April 2019
    March 2019
    May 2016

    Categories

    All

    RSS Feed

Services

Consulting
Training
Assessment

Company

About
Experience
Blog

Support

Contact
© COPYRIGHT 2022. ALL RIGHTS RESERVED.
Picture
  • Home
  • Books
  • Consulting
    • Strategic Review
    • Assessment Services
  • Training
    • Document Standards
    • Skills Development Workshops
  • About
    • Experience
    • Client List
    • Blog
  • Contact