Your target customers visit the website, read the first three lines, and then click away. Not because the product is poor. Not because the design is bad. But because they do not understand what problem you are solving for them. This is the most common trap in tech branding, and it has a precise name: the curse of knowledge.
In this article · 6 sections
When expertise becomes a barrier
The curse of knowledge is a concept Chip Heath and Dan Heath describe in Made to Stick: once you know something, you cannot imagine what it felt like not to know it. For a team building a tech product, this has concrete consequences. You spend three years building a real-time data processing platform. It integrates multiple API sources and automates workflows with machine learning algorithms. And when you write the homepage, you write exactly that.
The reader is the operations director of a distribution company. He does not know what an API is. He only knows that every month his team loses dozens of hours reconciling figures by hand, and mistakes still happen. He lands on your page, reads “a multidimensional data integration platform with a real-time processing engine,” and moves on to your competitor's pricing.
First impressions form in a blink. But whether a customer stays or leaves depends on the next question they ask themselves: “Is this relevant to me?” If the answer doesn't appear within a few seconds, they leave.
Features are a means; results are the reason to buy
No one buys accounting software because it has “an automatic posting module that follows VAS standards.” They buy it because they do not want their chief accountant working until 11 p.m. every month-end. No one buys an HR tool because it “integrates facial recognition attendance.” They buy it because they are tired of arguing over timesheets every pay period.
The difference between features and outcomes is a fundamental brand positioning issue. Features describe the product you build. Outcomes describe your customer's life after using it. The two look the same on an editing screen, but they trigger completely different reactions in the reader's mind.
A brand is not what you say about yourself. It is the feeling in the gut of others when they think of you.
Marty Neumeier, The Brand Gap
That impression is created by the language you use before customers have had a chance to use the product. The homepage, the feature pages, the first email a new customer receives after signing up: these are where customer expectations take shape. If the language there is engineers talking to engineers, you are narrowing your own customer base without realizing it.
Why changing language is harder than you think
Many product teams know the theory. They have heard about “outcome over output” and “jobs to be done.” They nod along in the workshop. But when they go back and rewrite the homepage, the result is still full of technical jargon. The reason is that the people writing the content are the ones building the product, or working close to those who do.
The problem here is a perception gap, not a capability gap. People on the inside can no longer see what outsiders cannot see. That is why target customers, or anyone who does not work in your industry, need to be brought in early in the messaging process. Not to approve the design, but to reflect back the places where you are saying things they do not understand.
Three questions to test your own message
You do not need to hire an expert to get started. Take your current homepage and ask yourself three questions. Give it to someone close to you who does not work in tech and let them read it for 10 seconds. Then ask them three things: who does this company help, what problem does it solve, and why choose them over someone else? If they can answer all three, your messaging is doing its job. If they hesitate at the first question, you already have your answer.
- Question one: Who is your customer, specific enough that you can draw a portrait of a person?
- Question two: Before using your product, what did their daily life look like, and what was bothering them?
- Question three: After using it, what specific changes occur, not about the product but about their work or life?
The answers to those three questions are the raw materials of your brand message. Not a list of features, not technical architecture. The customer's story, told in their voice, about their problem.
Specificity is something AI cannot replace
Search engines and language models are changing how people look for information. As a result, tech brands face a new kind of pressure. Vague content is not only skipped by users, it is also harder for information-aggregating systems to cite accurately. Specificity wins with both people and machines.
“A comprehensive operations management solution for businesses” could describe anyone. “Helping mid-sized pharmaceutical distributors cut warehouse reconciliation from two days to four hours” is a sentence no other company could write word for word. Specificity does not shrink your market. It helps the right people find you faster and trust you sooner.
From the curse to a advantage
The curse of knowledge does not disappear once you have recognized it. It needs ongoing management, because your product changes, your team changes, and internal language always tends to leak outward. But once you build the habit of checking your messaging from an outsider's perspective, and have a brand language system that requires every customer touchpoint to speak in terms of outcomes rather than features, that is when your tech company starts to be remembered instead of scrolled past.
The SaaS and tech market in Vietnam is growing. This also means there are more voices competing for the same attention. The companies that win are not necessarily the ones with the best products. Often, they are the companies that explain clearly, using the language that customers use to describe their own problems.
References
Byron Sharp, How Brands Grow, Oxford University Press, 2010. Marty Neumeier, The Brand Gap, New Riders, 2006. Chip Heath & Dan Heath, Made to Stick, Random House, 2007. Lindgaard et al., “Attention web designers: You have 50 milliseconds to make a good first impression”, Behaviour & Information Technology, 2006. Stanford Web Credibility Research, 2002–2004. Research on the Vietnamese SaaS market, compiled from multiple industry reports, 2024–2025.