Does this sound familiar? Your company invests heavily in BIM and modern software suites. You create detailed digital twins. Yet, the critical calculations that hold this entire structure together are still performed in scattered spreadsheets.
Modern engineering faces a strange paradox. On one hand, the industry claims to be moving toward Industry 4.0 and total digitalization. On the other hand, the foundation of engineering decision-making often remains in a "gray zone."
We analyzed the current state of the market and studied dozens of industry discussions on professional platforms (from LinkedIn to Reddit). We saw the real pain points engineers face. The picture is clear: a massive gap exists between simple handheld calculators and powerful (and expensive) CAE complexes.
Errors arise in this gap. Expertise gets lost. Business development stalls. We have identified 5 systemic challenges that almost every design firm faces today. Unfortunately, simply buying licenses for another piece of "heavy" software does not solve them.
Challenge #1. The Transparency Crisis: Between the "Black Box" and the "Black Hole"
The first problem concerns trust in numbers. When a lead engineer or expert reviews a project, they must answer a key question: "Why is this decision correct?" However, modern tools often hide the answer, leaving the engineer trapped in a dilemma:
- The "Black Box" Effect. This applies to specialized, expensive software. You input data, the program does its "magic" inside, and it outputs a beautiful diagram or a safety factor. But what happened inside? Which formulas were used? Did the software correctly account for a specific clause in your national building code? You have to blindly trust the developer. Checking the calculation logic step-by-step is practically impossible.
- The "Black Hole" Effect. This is the realm of spreadsheets. Formulas exist here, but they are hidden behind a grid of cells like H24*($C$12/F5). To understand the logic of someone else's calculation (or even your own from a year ago), you must spend hours untangling a web of references. This is not transparency; it is merely an illusion of control.
In both cases, the review process becomes excessively difficult, and the risk of missing an error remains high.
| Spreadsheet Error Type | Description | Consequences |
|---|---|---|
| Logic Errors | Using correct syntax but the wrong mathematical model. | The calculation runs without warnings but yields a false safety margin (you don't know you're wrong). |
| Hard-coding | Typing numbers directly into formulas instead of referencing input cells. | When project parameters change (e.g., column spacing), the formula continues using the old value. |
| Reference Errors | Ranges shift when copying formulas, or references point to empty cells. | Missing loads during summation (e.g., ignoring the weight of an entire floor). |
| Unit Errors | Lack of automatic conversion (e.g., mixing millimeters and meters). | Catastrophic results: overestimating or underestimating load-bearing capacity by factor of 1000. |
| Interpretation | Using a correct spreadsheet for the wrong task. | Example: Using a steel design template for aluminum without changing the material coefficients. |
The cost of such errors is rarely measured in hours of rework, but rather in company reputation and structural safety. Yet even a perfectly tuned spreadsheet cannot save you from another threat: when its author decides to leave the project.
Challenge #2. Dependency on the Performer and Loss of Expertise
Imagine a typical situation. An experienced structural engineer works in your department. He has his own system of calculations, verified over the years. All his files and templates are customized "for himself." He navigates them effortlessly and delivers quick results.
But what happens when this specialist decides to change jobs?
The company is often left with only an archive of files. Only the author understood their logic. A new engineer who takes his place will hardly risk using these materials. Figuring out the logic of someone else's "home-grown" calculators is often harder than starting from scratch.
This creates a business continuity problem. Your company's expertise turns out to be tied to specific people, not business processes. When people leave, they take their knowledge with them. Instead of accumulating a base of proven solutions and automating typical tasks, the company is forced to constantly reinvent the wheel.
The Educational Aspect and Error Insurance
First, the industry critically needs tools that act as "fuses" against human error. Software should serve as insurance for less experienced employees. It must automatically control units of measurement, highlight illogical values, and block gross mechanical errors where a beginner lacks experience or attention.
Second, transparent calculations have immense educational value. They allow Junior Engineers to learn directly from real projects. When a specialist sees not just a final number but the entire path to it (algorithms, formulas, references to standards), they understand the physics of the process. This turns routine task execution into effective knowledge transfer within the team.
Challenge #3. Limited Flexibility and High Entry Barrier
The engineering market in many countries is currently undergoing transformation. Harmonization with Eurocodes, specific national annexes, and the parallel validity of old local codes create a complex regulatory field.
Here, the engineer faces the limitations of global software products. Large vendors (developers of global CAE suites) focus on mass markets like the USA, Western Europe, or China. They will not release updates quickly just because a coefficient changed in your local building standard.
Undoubtedly, powerful FEA complexes solve the lion's share of structural analysis needs. However, even such software does not resolve the issue of operational flexibility.
Did a new industry standard come out? You have to wait for a version update. Do you need to implement a specific method for checking a connection? You cannot simply enter the code of a closed program and add a formula. Moreover, the entry barrier for heavy CAE systems remains high. The cost of licenses and staff training time may be unjustified for the level of tasks being solved.
There is another nuance: the limitation of the method itself. Finite Element Analysis (FEA) is a powerful tool. But to make a quick decision, you often don't need a cumbersome 3D model. You need a classic, transparent analytical check using formulas.
The market clearly needs an intermediate link. Engineers need a tool that allows them to quickly create their own "micro-programs" and working templates for specific tasks. They need to do this here and now, without depending on the update cycles of large vendors.
It is worth noting that TechEditor also implements the FEM approach for beams and columns. This functionality is best used where Finite Element Analysis gives the most accurate results, without turning the software into a clumsy "one-size-fits-all" tool.
Challenge #4. The Copy-Paste Curse: The Gap Between Calculation and Document
This is perhaps the most annoying part of the job for every engineer. You performed a complex calculation, optimized sections, and found the ideal solution. Is the work done? No, only half of it is done.
Now you need to format the calculation report.
A process begins that we call "Dead Data". The engineer takes screenshots of diagrams, copies result tables, and pastes them into a text editor.
What is the risk? As soon as you copy a number from the calculation program to the report, it "dies." It loses its connection to the source. If the architect moves a column by 50 cm tomorrow, you don't just have to recalculate the model. You have to manually find and update all screenshots and numbers in a 100-page note. Up to 40% of mechanical errors in documentation arise at this stage: someone forgot to update a number here, left an old screenshot there, etc. This leads to remarks from experts and repeated iterations, which cost the company money.
Challenge #5. The Verification Problem and Legal Liability
The last but critical challenge is the question of trust. Imagine a situation: an accident occurred or a dispute arose with the client. Technical documentation is raised.
- If the calculation was done in a licensed, certified complex, you have an argument.
- But if (as often happens) part of the calculations was done in the company's own spreadsheets or using unknown scripts, who guarantees their correctness?
How do you prove to an expert that the formula in cell F15 is correct? How do you confirm that the algorithm complies with the current version of the standard?
"Home-grown" tools that individual engineers take pride in often lack a proper validation procedure. They may work correctly in 99% of cases, but that remaining 1% can be fatal. The absence of a verified base of ready-made solutions exposes the company to legal risks. Liability falls squarely on the individual who signed the project, leaving them unable to cite certified, industry-standard tools for their defense.
Why Are These Problems Still Relevant?
It seems paradoxical. We live in the era of AI and cloud technologies, yet the engineering routine remains largely unchanged from 20 years ago. We either trust "black boxes" or drown in the chaos of unverified spreadsheets. Data gaps, the human factor, and the rigidity of complex software create a "perfect storm." The risk of error grows along with project complexity.
The industry has hit a glass ceiling of tools. Continuing to work the "old way" is becoming dangerous. Fully switching to "heavy" complexes is economically unprofitable for most daily tasks. Engineers find themselves in a situation where they have to choose between convenience and reliability. However, the modern world requires both simultaneously.
Finding the Golden Mean: Is There an Ideal Environment?
Understanding these pain points, we at Dystlab asked ourselves: Why must an engineer choose? Why can't a document (whether a report or a calculation sheet) be "smart"?
We didn't try to create just another calculator. We sought a way to transform the entire approach to engineering projects by bridging that "gray zone."
This is the origin of the TechEditor concept.
Imagine writing a report as usual. But instead of "dead text," you are operating with live data.
Do you need transparency? There are no hidden cells here. Text and mathematics form a single entity. You — and more importantly, the reviewer — see the physical essence of the calculation, just like in a textbook. This is the "Glass Box" concept.
Do you need freedom? You no longer depend on a vendor releasing an update for a new building code. You can create your own algorithm template in a single evening and adjust coefficients yourself, without waiting for software developers. Essentially, every engineer becomes a developer of their own micro-programs without needing to learn complex programming languages. The primary languages here are physics and mathematics — the very things we have used since school.
Do you need reliability? Innovation requires collaboration. That is why we are developing the Dystlab Store as a hub of verified knowledge. We offer two levels of expertise:
- In-house Solutions. These are developed by the Dystlab team. We share our own engineering experience gained from real-world projects. You get the same tools we use ourselves.
- Partner Solutions. These come exclusively from reputable institutions. Right now, as part of the "100 Solutions for the Engineering Industry" project, we are collaborating with the Ivano-Frankivsk National Technical University of Oil and Gas (Ukraine). When you use such a template, you rely on a methodology confirmed by the academic community, not on a dubious file from a random forum.
More Than a Tool: A Culture of Engineering Documentation
Technology is only the foundation. While TechEditor technically solves these challenges today, let’s be honest: success depends on more than just software.
The main shift must happen in the mindset. We need to transition to a culture of high-quality documentation. A transparent report must become the company standard, not the exception. An engineer should not hesitate to format a calculation so that a colleague can understand it even five years later. TechEditor is simply the tool that makes this culture possible and convenient.
When best practices in documentation become a habit, the business becomes secure and scalable.
A Look into the Future: The Engineer of 2030
Where is our profession heading?
We stand on the verge of a shift where an engineer's value will no longer be measured by their ability to push buttons on a calculator or format tables nicely. Algorithms will take over that routine.
The future belongs to Digital Engineers. These are specialists who combine deep technical knowledge with the ability to build automated data transfer chains.
- Reporting will cease to be "dead weight" created the night before a deadline. Documentation will become dynamic: if you change a load in the model, the entire project updates automatically.
- Engineering firms will transform into niche IT companies, where the main asset is their own library of automated solutions.
Dystlab is creating the infrastructure for exactly this future. A future where routine is automated, transparency is the standard, and the engineer does what they were trained to do — create a safe and efficient world.
Next Steps for Change Makers
If these ideas resonate with you, start small:
- Download TechEditor and try transferring your most used Excel calculation into it.
- Visit the Dystlab Store to see how your colleagues are already automating their processes.
Maria Nikitska
"The best technology is the one that becomes an invisible part of its user's success"
Co-founder and CMO of Dystlab. I research the market and develop strategies that combine innovative engineering solutions with real business needs.
