A sentence like this turns up surprisingly often in technical material:
“The system combines real-time sensing with closed-loop control and automated pressure compensation.”
I can believe every word in it and still be unsure why you chose to tell me.
Another engineer may immediately understand the significance. They know what the control system is doing, why the feedback loop matters, and what operating problem it is intended to solve. An investor, partner, or business buyer may simply register a collection of technical features.
When I work with technical founders or teams, one question keeps proving useful: which means what?
It isn’t an invitation to turn every feature into a marketing benefit. It is a way of uncovering connections that already exist in the expert’s head but have not yet made it onto the page.
Experts often begin where the reader needs to arrive
Technical people usually have good reasons for starting with the mechanism. That may be where the innovation sits, where years of development have gone, or what allows the product to perform differently from the alternatives.
For the expert, a technical term can therefore carry much more information than it appears to.
Research on expertise has found that experts organise domain knowledge into richer, more connected structures than novices, helping them recognise relationships that require more conscious processing for someone without the same background[1].
The communication problem follows from that difference.
A founder might describe a control system and immediately connect it to stability under changing operating conditions. Someone without the same technical background may understand the individual words without making that connection.
The expert has skipped a step because, to them, there no longer appears to be a step.
I have encountered versions of this repeatedly in technical ventures. The first explanation is often a careful account of how something works. Asking what the mechanism allows the product to do differently usually exposes the next layer. Asking why that difference matters to a particular customer, investor, or partner reveals the part that belongs in the external story.
The argument was there all along. We just had to make its logic visible.
“Which means what?” exposes the missing connection
Suppose a technical team tells me:
“The system maintains independent control across multiple operating zones.”
I’ll probably ask what that makes possible.
Perhaps it allows more consistent performance when conditions vary across those zones. For a customer, that may mean less intervention or more reliable operation. For an investor, the same mechanism may help explain why the technology is differentiated. A technical partner may want to examine the control architecture itself.
One technical fact can therefore play different roles depending on the decision in front of the reader.
That’s why I’m cautious about the usual instruction to “simplify the technology”. The better question is often which connections this particular reader cannot reasonably be expected to supply on their own.
The National Academies makes a similar point in its work on science communication. Effective communication depends partly on what an audience already knows and what they need the information to help them decide [2]. That matters well beyond scientific communication.
A technical founder speaking to an investor may need to establish why a mechanism creates a defensible advantage or removes a commercial constraint. An engineer evaluating a supplier may care about compatibility, tolerances, or failure conditions. A business buyer may first need to understand the operating consequence and then see enough technical evidence to judge whether the claim is credible.
Clarity is partly a sequencing decision: what does this reader need first so that the next piece of technical information means something?
Translation works in both directions
The most useful technical communication is rarely a one-way process in which the expert speaks and the communicator simplifies.
The external reader has uncertainties of their own. Bringing those questions back to the technical team often improves the argument.
The right questions often produce better technical answers from a founder than simply asking for more detail. For instance, “An investor can see what the system does. What is still unclear is why this capability would be difficult for someone else to reproduce.”
Or “A customer will accept the efficiency claim. What they still need to understand is what that means for them under the conditions in which they actually operate.”
Sometimes an important test result appears. Sometimes the team identifies a design constraint that explains the advantage more convincingly than the original marketing claim. Occasionally the conversation exposes an assumption that needs to be qualified.
That’s why I see technical communication as part of the reasoning process. It’s not only about rewriting what the experts already know. It’s also about identifying which part of that knowledge actually carries the external argument.
Some technical detail carries the argument
The risk in pushing too hard for accessibility is that the story becomes easier to read and harder to believe.
Technical material can quickly be reduced to outcomes such as greater reliability, faster performance or lower operating risk. Those claims are understandable, but the reader still needs a reason to accept them.
A test result, operating range, manufacturing process or design feature may be doing important credibility work. Removing it because it looks technical can leave the polished claim unsupported.
The same problem appears when simplification removes the limits around a claim.
Consider:
“During testing within the specified operating range, output remained within ±2 per cent.”
Changing that to:
“The system guarantees consistent output.”
has altered much more than the wording. The operating range and test context have disappeared, while a measured result has become a guarantee.
Research on science communication similarly emphasises that findings often depend on particular assumptions, conditions or contexts, and that those qualifications can matter to informed decision-making[2].
This is one reason technical teams sometimes resist simplification. They have often seen careful claims become stronger as they pass through the communications process.
A good communicator needs enough understanding to recognise which complexity is carrying meaning. An operating condition may need to stay. A number may be the strongest proof on the page. A qualification might move into supporting copy rather than disappearing.
The aim is to make the evidence usable without changing what it says.
Too much detail still hides the decision
The opposite problem is familiar too.
Technical teams can provide specifications, architecture, process steps, materials, certifications, test results and manufacturing capabilities in one continuous stream. Each item may represent genuine expertise or hard-won capability.
For the reader, the question becomes one of hierarchy.
Some technical information belongs in the main argument because the reader needs it to understand the significance of the solution. Some belongs directly beside a claim as evidence. The rest can remain available for technical diligence, a detailed product page, an engineering discussion, or an appendix.
This has been particularly apparent to me around manufacturing and technical capability. A long equipment list can be highly meaningful to another specialist. An investor or partner may need to understand what those capabilities allow the organisation to control, produce, test or improve.
The detail retains its value once the reader can see what it demonstrates.
Give the reader a route into the technology
A first piece of technical communication rarely needs to complete the evaluation.
An investor may eventually open the test data with a specialist adviser. A customer may bring an engineer into the next meeting. A partner may ask for the full specification or validation report.
Good technical communication gets them to that point with a sound understanding of what deserves closer examination and why.
That requires judgement about order. Establish enough context for the technical material to matter. Bring in the mechanism at the depth the reader needs. Show the evidence that makes the consequence credible. Leave deeper technical scrutiny available for the stage where it becomes useful.
The technology can become more complex as the conversation progresses because the reader now has a reason to follow it.
Notes and sources
1. Persky, A.M. and Robinson, J.D., “Moving from Novice to Expertise and Its Implications for Instruction”, American Journal of Pharmaceutical Education, 2017. Research on expertise has found that experts organise domain knowledge into richer, more connected structures than novices, helping them recognise relationships that require more conscious processing for someone without the same background.
2. National Academies of Sciences, Engineering, and Medicine, Communicating Science Effectively: A Research Agenda, 2017. The report discusses how effective science communication depends on audiences’ existing knowledge and decision needs, and why uncertainty, assumptions and limitations may need to remain visible rather than being removed in pursuit of simplicity.