TRIZ
An ideal machine is one that does not exist, yet performs its function.
TRIZ (Theory of Inventive Problem Solving) is a systematic innovation methodology developed by Soviet engineer Genrich Altshuller after analyzing patterns across hundreds of thousands of patents. Rather than relying on brainstorming or trial-and-error, TRIZ gives innovators a structured path: model any design challenge as a contradiction, then look up which of 40 Inventive Principles have historically resolved that class of conflict. It is the engineering world's most rigorous answer to the question: why guess when invention has already been catalogued?
“We're designing a thermal management system for a high-power battery pack. We need thicker heat-sink fins to dissipate more heat, but thicker fins…”
Resolve design contradictions using patterns from 400,000 analyzed patents
TRIZ is built on a single insight: genuine inventions resolve contradictions rather than accept trade-offs. Altshuller identified two types — Technical Contradictions (improving parameter A degrades parameter B, e.g., making a structure stronger makes it heavier) and Physical Contradictions (one element must simultaneously have opposite properties). Problems are expressed using the 39 Engineering Parameters, a standardized vocabulary of system attributes. The 39×39 Contradiction Matrix then maps each parameter conflict to the 3–5 Inventive Principles most often used to resolve it in patent history. The 40 Inventive Principles (e.g., Segmentation, Prior Action, The Other Way Round, Phase Transitions) are concrete, domain-independent solution strategies with worked examples. The Ideal Final Result (IFR) concept anchors all exploration: the ideal system performs its function without existing — no added complexity, cost, or harm. For physical contradictions, four Separation Principles (in time, in space, in condition, between whole and parts) guide resolution. Advanced work uses ARIZ (an 85-step algorithm for intractable problems), 76 Inventive Standards via Substance-Field analysis, and Trends of Engineering System Evolution for technology forecasting.
Engineers and product designers routinely hit the same wall: improving one performance parameter degrades another, and every proposed fix is a compromise. Conventional brainstorming recycles familiar solutions; benchmarking finds no analogues; the team debates trade-offs indefinitely. TRIZ addresses this directly — Altshuller showed that 'can't have it both ways' is not a law of physics but a signal that the right inventive principle has not yet been applied.
Stop compromising on design trade-offs. Model your problem as a contradiction, look up which inventive patterns have already resolved it across thousands of analogous patents, and leave the conversation with a concrete shortlist of solution directions no amount of brainstorming would have surfaced.
- A specific design problem or engineering trade-off you are stuck on
- A description of what you are trying to improve and what gets worse when you do
- The domain context (mechanical, software, process, business) so principles can be adapted
- Willingness to describe the problem in terms of system components and interactions
- A formally modeled contradiction using the 39 Engineering Parameters
- A ranked shortlist of 3–5 Inventive Principles from the Contradiction Matrix matched to your specific parameter conflict
- Concrete adaptations of each principle to your context with analogous examples from other industries
- An Ideal Final Result statement that reframes what a genuine solution must achieve
- A written Contradiction Analysis document capturing the full problem model and solution directions
Watch the methodology work.
Three specimens from a single real session: the same situation, unaided and calibrated, the full transcript, and the skill answering live in the channel where the work happens.
“Your R&D team has spent three months on a drone propulsion system. The motor needs a larger rotor for efficiency, but a larger rotor increases moment of inertia, slowing response time, which is the spec you cannot sacrifice. Every design iteration trades one requirement against the other. The project review deck has seven slide versions of the same bar chart showing the same inverse relationship. No one has a path forward.”
“In a single TRIZ session you model the contradiction: improving Parameter 18 (Brightness of Light / Energy Conversion Efficiency, proxied for propulsive efficiency) worsens Parameter 9 (Speed) via inertia. The Contradiction Matrix returns Principles 8 (Anti-Weight), 15 (Dynamics), 26 (Copying), and 35 (Parameter Changes). Principle 15 (Dynamics) immediately surfaces the counter-rotating dual-rotor concept — two smaller, lighter, counter-spinning rotors achieve the efficiency of a large rotor while their opposing angular momenta cancel, reducing net inertia. The IFR statement ('the rotor itself generates maximum thrust with zero rotational inertia') confirms this is a level-3 solution. You leave the session with a documented contradiction analysis, the Matrix result card, and three concrete concept directions to prototype.”
The same skill, where the work happens.
No new app to learn. The methodology runs over the WhatsApp Business API, so the answer lands as a reply in the thread you’re already in — same rigour, zero context-switch.
What it does, specifically.
Each capability is a distinct move drawn straight from the source methodology — not a generic assistant guessing.
Contradiction Classification
Determines whether the user's problem is a Technical Contradiction (improving A worsens B), a Physical Contradiction (same element needs opposite properties), or both. This classification decides which TRIZ tools apply and prevents wasted effort on wrong-level solutions.
Parameter Mapping
Translates the user's real-world problem language into TRIZ's standardized vocabulary of 39 Engineering Parameters (e.g., 'too heavy' → Parameter 1: Weight of Moving Object; 'too slow' → Parameter 9: Speed). This translation is the hardest step for new TRIZ users and the one that most determines result quality.
Contradiction Matrix Lookup
Once the improving and worsening parameters are identified, consults the 39×39 Contradiction Matrix to retrieve the specific Inventive Principles most frequently used to resolve that exact parameter conflict across thousands of patents. Presents the top 3–5 principles with their frequency ranking.
Inventive Principle Coaching
Explains each suggested Inventive Principle concretely (e.g., Principle 1 Segmentation, Principle 13 The Other Way Round, Principle 35 Parameter Changes) with worked examples from industries outside the user's domain, then co-develops how that principle could apply to the user's specific system.
Ideal Final Result Formulation
Helps the user write a precise IFR statement — what the system would do if it solved itself, with no added components, cost, or side effects. The IFR is then used as a filter to evaluate candidate solutions and prevent over-engineering.
Physical Contradiction Separation
When the same system element must simultaneously satisfy contradictory requirements, applies the four Separation Principles: Separation in Time (property A at time T1, property B at time T2), Separation in Space (A in location 1, B in location 2), Separation on Condition (A when condition X, B when condition Y), and Separation Between Whole and Parts.
Levels of Innovation Assessment
Helps the user understand which of Altshuller's five innovation levels their problem requires — from Level 1 (routine design within current knowledge) to Level 5 (discovery requiring new scientific knowledge) — calibrating how far outside current domain knowledge the search for a solution must go.
Graded before it shipped.
Every skill is scored against independent scenarios for methodology fidelity before it goes live — not vibes, a rubric.
Contradiction Analysis Document
A structured one-page writeup that formalizes the problem: the undesired effect, the identified technical contradiction expressed as improving/worsening parameter pairs, and the physical contradiction if present. Serves as the sharable foundation for team solution sessions.
Contradiction Matrix Result Card
A formatted output showing the selected parameter pair, the matching cell in the Altshuller Matrix, and the 3–5 suggested Inventive Principles with their numbers, names, and definitions. Functions as a reference card throughout the solution development process.
Ideal Final Result Statement
A precise, structured IFR statement written in TRIZ format: '[The system element] itself [performs the desired function] [without any negative effects] [without any added complexity or cost].' Used to evaluate and filter candidate solutions.
Principle Adaptation Worksheet
For each of the top 3 suggested Inventive Principles: the principle name and number, one or two analogue examples from other industries, and a set of brainstorming prompts specifically tailored to applying that principle to the user's system.
Grounded in the original work.
Every answer traces back to a real source and the practitioner who wrote it — not a secondhand summary. Here is the source of record.
Genrich Altshuller
Genrich Altshuller (1926–1998) was a Soviet engineer, inventor, and science-fiction author who founded the field of systematic innovation. Beginning in 1946, he spent decades analyzing patent literature — eventually more than 400,000 patents across every engineering domain — to identify the repeating patterns underlying genuine invention. He developed TRIZ over 50 years of research, established MATRIZ (the International TRIZ Association), and authored foundational texts including 'The Innovation Algorithm,' 'Creativity as an Exact Science,' and 'The Art of Inventing.' Today TRIZ is institutionalized at Samsung, Boeing, Intel, P&G, Volkswagen, and hundreds of universities worldwide.
The Innovation Algorithm (Algoritm Izobreteniya)
Soviet engineer and patent examiner; founder of TRIZ; author of 8 foundational TRIZ texts; established MATRIZ certification body; analyzed 400,000+ patents over 50 years.
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