The Secret Weapon Used by the Biggest Companies: What TRIZ Is and How It Helps Find Strong Solutions

Large companies are always looking for ways to improve their products, reduce costs, and find solutions faster. The more complex the technology or business, the more often a familiar problem arises: improving one parameter makes another worse.

A product needs to be functional yet easy to use. Manufacturing needs to be fast yet reliable. A service should feel personal yet remain affordable. A manager needs control, but the team must retain its autonomy.

These challenges are not confined to the labs at Samsung or Intel. Entrepreneurs, managers, developers, designers, and people from all walks of life face them all the time.

We need to earn more without working around the clock. Make decisions quickly without overlooking important consequences. Use artificial intelligence without handing over our own thinking. Change a situation without breaking what already works.

TRIZ helps reveal exactly what stands between us and the outcome we need, identify the contradiction, and move beyond the usual trade-off.

You do not need to become an engineer or spend years studying the theory before you can begin. Even a few foundational tools can change how you approach problems: precise framing, identifying contradictions, analyzing resources, and envisioning the result worth pursuing.

This approach is at the heart of the book Thirst for Reality. It combines TRIZ tools with systems thinking, a cognitive behavioral approach, Jobs To Be Done, and practical idea testing. The result is a coherent protocol that guides you from a vague problem to a solution tested against reality.

TRIZ stands for the Theory of Inventive Problem Solving.

Genrich Altshuller began developing it in the mid-twentieth century. While studying patents, he noticed that breakthrough inventions from different industries were often built on similar principles.

Technologies change, but the underlying structure of problems repeats itself.

A component needs to be both strong and lightweight. A system needs to run faster while consuming less energy. A device needs to perform more functions without becoming more complex.

The conventional approach is to choose an acceptable compromise: improve one thing a little and sacrifice a little of the other.

TRIZ suggests stating the contradiction explicitly first.

The interface needs to show a great deal of information so the user can operate a complex product, yet show very little so it does not overwhelm them.

Once the problem is framed this way, the search becomes more focused.

• Does all of the information need to be visible at once?
• Could different elements appear depending on the situation?
• Could the basic interface stay simple, with additional capabilities revealed only when needed?
• Could actions the user has already taken serve as a signal?

This is how one of the central principles of TRIZ works. Instead of choosing between two poor options, you begin looking for a way to satisfy both important requirements.

Another tool focuses on resources. Before adding money, people, features, or oversight, it is worth examining what is already available within the system.

Sometimes the resource you need already exists but is not being fully used. It could be information, spare time, user behavior, a side effect, accumulated data, or a product component capable of performing an additional function.

Another important tool is called the ideal final result. It helps you imagine a situation in which the desired effect is achieved with minimal cost and complexity.

How could an error reveal itself before it causes harm?

This framing does not provide a ready-made answer. It points the search in a more promising direction.

TRIZ does not replace knowledge, experience, or experimentation. It helps you apply them with greater precision.

Samsung is one of the best-known examples of large-scale corporate adoption of TRIZ.

The company began exploring the method in the late 1990s. In 2001, Samsung established a dedicated TRIZ initiative, brought in TRIZ specialists, and launched its first projects in the semiconductor and printing businesses.

The results caught management's attention, and the program began to expand.

According to a paper by specialists involved in the rollout, 23 research projects were completed and 24 patents were secured in 2002. The economic impact was estimated at $24 million.

For 2003, the paper's authors cited about 50 projects, 52 patents, and an impact of $150 million across several Samsung Group companies.

For 2004, the figures reported for Samsung Electronics were about 30 projects, 64 patents, and an impact of $65 million.

TRIZ did not remain a one-off training exercise. Samsung built internal teams, trained engineers, developed a certification program, and integrated TRIZ tools into its quality improvement initiatives.

The scale of its application is especially significant. The company used the method not only to generate ideas, but also to address real engineering constraints, patents, manufacturing processes, and new products.

The approach proved useful when the obvious solutions were already known and further progress required a different way of looking at the problem.

Intel began actively applying TRIZ tools in the early 2000s.

In 2002, 15 engineers received training. They applied the method to 12 manufacturing and technical problems. The impact of this initial phase was estimated at $2.2 million.

This led to the Intel Systematic Innovation program.

The company did not require engineers to master all of classical TRIZ. Instead, it selected tools suited to Intel's real manufacturing challenges.

TRIZ can be applied one step at a time.

You do not have to master the entire theory before you begin. You can take a specific problem, identify the contradiction, examine the available resources, and apply a few relevant principles.

In a later presentation, the program's manager estimated the cumulative impact over 21 months at $212.5 million. The calculation included productivity gains and the financial results of projects.

But the way Intel implemented the method is even more interesting than the number itself.

Intel embedded a systematic search for solutions into engineers' existing work. TRIZ did not replace professional expertise. It helped direct that expertise toward the areas where standard methods had stopped producing results.

Samsung and Intel are far from the only companies to use TRIZ.

TRIZ tools have been used in projects at LG Electronics, Siemens, General Electric, Philips, Motorola, Boeing, Procter & Gamble, and other major companies.

The depth of adoption varied. Some companies created internal programs and trained hundreds of employees. Others used TRIZ on individual projects or to solve a specific technical problem.

But the reason for this broad interest is straightforward.

Large companies regularly face problems that standard optimization can no longer solve. The major improvements have already been made, competitors are keeping pace, and further growth depends on resolving contradictions.

• Increase capacity while reducing energy consumption.
• Lower costs without sacrificing quality.
• Speed up a process while reducing the number of errors.
• Add capabilities without making the product more complex.

This pattern is not limited to industry.

A developer wants to ship changes faster while preserving system stability.

An entrepreneur wants to increase sales without letting customer acquisition costs spiral.

A manager wants predictable results without turning leadership into constant oversight.

A writer wants to use artificial intelligence while retaining their own thinking and responsibility for the result.

TRIZ helps us move beyond choosing one side and abandoning the other. It prompts us to look for a stronger solution that can satisfy both.

That is why its tools are useful far beyond engineering.

TRIZ is one of the methodological foundations of Thirst for Reality: How to see the real task and make stronger decisions in business, product, sales, and life when uncertainty, information overload, and automated answers keep growing.

It is a practical book for entrepreneurs, managers, developers, writers, and anyone who has to make decisions under uncertainty.

The book presents a step-by-step protocol for working through a problem:

1. Describe the situation in terms of facts.
2. Separate facts from interpretations.
3. Define the real task.
4. Identify the contradiction.
5. Determine which resources are available.
6. See the system and its potential consequences.
7. Develop several possible solutions.
8. Consider the human cost of the solution.
9. Run a small experiment.
10. Gather feedback and adjust your next action.

TRIZ provides the tools for identifying contradictions and resources and finding strong solutions.

Systems thinking helps account for relationships, delays, and side effects.

A cognitive behavioral approach helps separate facts from anxious interpretations.

Jobs To Be Done helps reveal the real task facing a person or product.

Hypothesis testing brings a solution out of abstract reasoning and back into reality.

Artificial intelligence can accelerate analysis, suggest alternatives, and help uncover connections. But the final framing of the task, the choice, and the responsibility remain human.