In product communication, we obsess over clarity. But clarity isn’t something we can deliver. It’s something users construct.

That’s the myth most content unknowingly leans on: that if we write clearly enough, users will understand exactly what we mean. But communication is a negotiation where you’re participating in a meaning-making process.

As Watzlawick and his co-authors famously put it: You cannot not communicate.

Every word, prompt, and interface element contributes to the ongoing, dynamic interaction between you and your user. And yet, most product content still assumes a one-way street i.e. we say something and users will just “get it”.

This assumption breaks down in practice because content is often written for clarity in theory, not communication in context.

This article introduces the Transactional Model of Communication, a more accurate way to understand how users interpret product and UX content. Combined with Discourse Theory, Gricean Maxims, and Rhetorical Structure Theory (RST), this model gives us a toolkit for designing meaning.

We’ll cover:

  • How the transactional model redefines communication
  • Why shared meaning matters more than message delivery
  • What product teams can do to support the co-construction of understanding

Let’s start by revisiting what communication actually is.

What Is the Transactional Model?

The Transactional Model of Communication emerged in the late 1960s as a response to overly simplistic, linear views of communication. First introduced by Watzlawick, Beavin, and Jackson (1967) and expanded by Dean Barnlund in 1970, the model challenged the idea that communication is simply about encoding a message, transmitting it, and having it decoded on the other end.

Instead, the transactional model proposes something more dynamic: communication is a simultaneous, ongoing process in which all participants are both senders and receivers. Messages are co-constructed, shaped by interpretation, context, and feedback.

Here are its key elements:

  • Simultaneous sender/receiver roles: In any exchange, people are simultaneously senders and receivers. Even in one-sided content (like a modal or tooltip), users respond with clicks, confusion, or exit behavior. Their response feeds back into the system. There’s no such thing as a “silent” user. Remember: the absence of action is feedback too.
  • Meaning is created, not transmitted: Words don’t carry fixed meanings. Understanding is built through interaction, and interpretation is always contextual.
  • Field of Experience: Each participant brings personal context — beliefs, culture, prior knowledge — that shapes interpretation. McCornack (2010) highlights that shared meaning only arises when participants have overlapping fields of experience, which is something product content must actively build.
  • Feedback loops: Every response becomes part of the communication. A confused look or a button click is feedback. A user hovers, hesitates, retries, or bounces. Each action offers a clue: Did they understand? Did the message land? Without designing for feedback (through UI states, confirmations, or follow-up cues), communication breaks down.
  • Nonverbal and relational dynamics: Tone, facial expression, layout, and timing all contribute to how a message is understood. Burgoon, Guerrero, & Floyd (2016) show how nonverbal signals (like facial expressions or tone of voice) strongly shape perception. In digital products, visual design is body language. Spacing, typography, animation, and color all speak.

To appreciate the difference, contrast the Transactional Model of Communication with the Shannon-Weaver model. That model is linear: a sender encodes a message, transmits it through a channel, and a receiver decodes it. It accounts for “noise”, but not for mutual influence or evolving context.

While the Shannon-Weaver model is useful for technical systems (e.g. signal transmission), it fails to capture how humans actually interact, especially in digital interfaces.

The transactional model is far more relevant for content designers, UX writers, and product teams. This is because users don’t passively receive your microcopy or CTA. They interpret it, filtered through their own experience and emotional state.

Every interaction — a tooltip, a help message, a checkout button — is a transaction. Meaning can’t simply be shipped. It’s negotiated.

Implications for Product Content

A message (no matter how well-written) isn’t automatically understood. Users don’t decode content like machines; they interpret it through their own field of experience, shaped by prior knowledge, expectations, and emotions. That’s why static messages — even clear ones — often fall short in dynamic, real-world contexts.

Take vague microcopy like: We couldn’t complete your request.

What does that actually mean? Was it a server error? A permissions issue? Did the user do something wrong?

Without specificity or guidance, the feedback loop remains open-ended. The user is left to guess, fill in the blanks, and possibly form negative assumptions.

These interpretive gaps can be costly.

In onboarding flows, unclear guidance can lead to drop-off. On pricing pages, ambiguous language around billing cycles or usage limits can trigger distrust. Even a tiny UI element — like the label on a confirmation button — can create confusion if it doesn’t align with the user’s expectations in that moment.

To bridge this gap, content must reflect what Clark & Brennan’s Common Ground Theory calls “evidence of understanding”.

Mutual understanding isn’t assumed; rather, it’s demonstrated. In digital products, that means designing with visible alignment: progressive disclosure, confirmations, contextual hints, and adaptive responses that help users know their interpretation is correct.

Your product content should aim to create this common ground. It should say: We know what you’re trying to do, and here’s how we’ll help you do it. And the best way to do this is by anticipating misunderstanding and actively closing the loop.

Discourse Theory and The Transactional Model of Communication

Where the transactional model explains how meaning is co-created, Discourse Theory helps us understand why a message means what it does in a given moment. At its core, discourse theory asserts that language use is never neutral and is instead shaped by social, relational, and situational contexts.

Every piece of product content is more than a simple statement. It’s a discourse act e.g. an instruction, a reassurance, a warning, or a call to action. And users interpret it not just by what it says, but by how it positions them.

For example, telling a user: Let’s get started assumes a different relationship than something like Complete the onboarding steps.

One is collaborative, the other authoritative. Neither is wrong, but their effectiveness depends on who the user is and what they need at that point in the journey. Are they anxious? Experienced? Rushed?

This is where discourse theory directly impacts conversion content. A well-written call-to-action directs user behavior, and perhaps more importantly, it aligns with the user’s goals and mindset. Here are two examples:

  • Try it free! signals low commitment.
  • Take control of your schedule appeals to autonomy.

The most effective one will depend on the user’s context.

The application goes beyond CTAs. Consider tone-shifting in emotionally charged moments.

A refund confirmation and a welcome message may follow the same structural template — headline, body text, button — but their discourse roles are radically different. One soothes disappointment; the other sparks excitement. Recognizing this is critical to maintaining relational coherence.

In short, discourse theory encourages us to ask not just what the content says, but what role it plays in the user’s current situation. When you get that right, even small messages build trust, alignment, and momentum.

→ Further reading: How Discourse Theory Improves Conversions

Gricean Maxims and Broken Feedback Loops

Philosopher H.P. Grice proposed a framework for how cooperative communication works, known as the Gricean Maxims. These four conversational principles guide how people interpret meaning beyond literal words:

  • Quantity: Provide the right amount of information — not too little, not too much.
  • Quality: Be truthful and don’t mislead.
  • Relevance: Stay on topic; make your message purposeful.
  • Manner: Be clear, concise, and orderly.

These maxims are often broken — not maliciously, but accidentally — in digital product content. And when they are, they damage the feedback loop essential to transactional communication.

Take Quantity: an error message that simply says Try again later offers no actionable insight. It assumes the user doesn’t need more, or that they won’t understand it. This breaks the loop and erodes trust.

Or Manner: a highly formal tone in an otherwise casual app creates friction. Imagine a chatbot saying We apologize for the inconvenience incurred instead of Oops — something went wrong. Try again? The mismatch causes users to question whether the system understands them.

Quality violations are even more serious. A misleading pricing label (“Free” with hidden limits) breaks user expectations. Even if technically true, it violates perceived honesty, and users will infer secondary meanings like: This product is shady or They’re hiding something.

That’s the hidden danger: users interpret violations as intent.

A vague message might seem neutral to the writer, but to the user, it can feel evasive, careless, or even passive-aggressive. Once inferred, these meanings shape how users perceive the brand, not just the product.

→ Further reading: The Hidden Damage of Flouting Grice’s Maxims

Designing Meaningful Message Hierarchies With Rhetorical Structure Theory

If the transactional model explains how communication happens, Rhetorical Structure Theory (RST) explains how to structure it.

RST focuses on the relationships between parts of a message — cause and effect, contrast, elaboration, justification, and more — and how these rhetorical links help people build meaning.

Most product content is a sequence of connected messages such as an onboarding flow, a pricing explanation, or a notification series. If those messages aren’t structured with rhetorical clarity, users either misinterpret them or mentally disengage. They can’t follow your logic, so they stop trying.

In the transactional model, rhetorical structures support the feedback loop. They give users a narrative scaffold to build understanding, anticipate what comes next, and feel confident they’re on the same page.

Real-World Product Applications

1. Onboarding Flows

Instead of just dumping instructions onto a page, consider using a motivation → explanation → confirmation structure. Here’s an example:

Let’s personalize your experience → Tell us about your business → You’re all set! Here’s what to do next.

2. Pricing Pages

Don’t just list prices on your pricing table. Consider using a contrast + justification + CTA format:

Freemium is great for hobbyists → Pro is for serious teams who need integrations → Compare plans.

3. Error Resolution

Instead of simply stating the issue or problem, consider using a problem → cause → resolution structure:

We couldn’t connect to your calendar → It looks like your Google permissions are outdated → Reconnect now.

This rhetorical clarity reduces cognitive effort and helps maintain trust, especially in moments of friction or uncertainty. It also ensures users aren’t left guessing your intent or next steps.

When content mirrors how humans structure arguments and explanations, it feels intuitive, even persuasive. Bottom line: don’t just give information; guide the user’s interpretation.

→ Further reading: Trial vs. Demo vs. Freemium

Designing for Transactional Communication

If there’s one principle that threads through the transactional model, it’s this: assume difference, not understanding.

Every user arrives with a different background, goal, and mindset. Your content’s job isn’t to transmit a message perfectly but to create conditions where meaning can be shared, negotiated, and confirmed. That requires designing communication as a dynamic process, not a one-time event.

Here are five practical takeaways:

1. Layer communication

Don’t rely on a single message to do all the work. Use headings, tooltips, microcopy, and confirmation states to progressively build understanding.

2. Always close the feedback loop

Users need to know their action had an effect, whether that’s through a visual change, a success message, or a system response. Silence creates confusion, whereas response builds trust.

3. Match tone to context

Emotional and relational states shift across the product journey. Onboarding is different from troubleshooting. A friendly tone during celebration feels delightful; during failure, it might feel dismissive.

4. Use discourse roles intentionally

Know whether your content is instructing, reassuring, correcting, or inviting. Structure messages with clear rhetorical relationships — cause/effect, contrast, elaboration — to guide interpretation.

Remember: your content is part of a live exchange. Treat it like a conversation with give, take, tone, and timing.

Conclusion

In product content, you’re participating in meaning-making. Every button label, alert, and onboarding step is part of a larger conversation with your users, one that unfolds in real time and is shaped by context, experience, and emotion.

The Transactional Model of Communication reminds us that users aren’t passive recipients. They interpret, respond, question, and sometimes misread. When content fails, it’s often because it assumes understanding instead of designing for it.

That’s where Discourse Theory, Gricean Maxims, and Rhetorical Structure Theory come in. Together, they offer a richer lens for designing communication systems that connect with users. They help us close the gap between what we meant and what users actually take away.

Good content is aligned, empathetic, and responsive. It adapts to context, respects the user’s experience, and supports progressive understanding over time.