From the right problem to
a verified solution.

TRIZ Asia combines value definition, systematic problem identification, structured problem solving, cross-domain knowledge search and staged substantiation to move complex technical challenges from uncertainty to testable action.

We do not begin with brainstorming. We begin by clarifying what must improve, how the system creates the current result, and which problem has the highest leverage.

Since 2006
Delivering Innovation Experience
Official Strategic Partner
8,000+
Global GEN TRIZ Specialists
25+
Countries Represented Worldwide

Through its strategic partnership with GEN TRIZ, relevant engagements can access the GEN TRIZ Global Knowledge Network of more than 8,000 specialists across 25 countries.

Systematic Innovation Roadmap

A structured path from value definition to substantiated solutions. The methodology starts with value and project objectives, then moves through technical problem identification, key-problem analysis, problem solving and concept substantiation. Supporting methods are selected where relevant rather than forced into every engagement.

Define Value
Define Value / MPV
Problem Identification
GEN TRIZ Benchmarking
Function Analysis
Flow Analysis
Cause-Effect Chains Analysis
Evolutionary Trends Analysis
Trimming
Key Problem Analysis
Problem Solving
ARIZ Application
Clone Problem
Inventive Principles
Function-Oriented Search
Standard Solutions
Scientific Data Base
Concept Substantiation
Secondary Problem Solving
Idea Substantiation
Super Effect Analysis
Concept Evaluation
Supporting analytical tools — Feature Transfer and S-Curve Analysis are used where analytically relevant. They are not mandatory steps before Benchmarking.
Step 1

Define Value / MPV

Before technical analysis begins, clarify what must improve and why. Main Parameters of Value identify the few value drivers that truly influence customer choice, business advantage or strategic success, then connect those drivers to the technical system.

Purpose

Define the outcome and parameters that matter most.

Typical Output

A clear value target linked to measurable technical parameters and project success criteria.

Step 2

Problem Identification

The objective is to understand the system and move from symptoms to the technical problem that controls the result. The main analytical flow should be presented exactly in the sequence shown below.

Tool What it does
GEN TRIZ Benchmarking
Compares the target system with stronger technical approaches and analogous systems to reveal performance gaps, alternative architectures and development opportunities.
Function Analysis
Models how system elements interact, what useful and harmful functions they perform, and where performance is insufficient or excessive.
Flow Analysis
Examines how materials, energy, information or other flows move through the system and where losses, restrictions or harmful interactions occur.
Cause-Effect Chains Analysis
Traces observed problems through chains of causes and effects to identify controllable mechanisms instead of treating symptoms.
Evolutionary Trends Analysis
Uses recurring patterns of technical-system evolution to identify development pressures, transition opportunities and possible future directions.
Trimming
Challenges whether components or operations are necessary and explores how useful functions can be transferred, simplified or eliminated without losing required value.
Key Problem Analysis
Synthesizes the system analysis to identify the technical problem or contradiction with the highest leverage for achieving the project objective.
Supporting analytical tools
Feature Transfer
Identifies valuable features, mechanisms or solution principles in a donor system and examines whether they can be transferred into the target system while checking fit and side effects.
S-Curve Analysis
Assesses the current evolutionary stage of a technology or system and whether further improvement, a transition or a next-generation architecture may be required.

Problem Solving

Once the key problem is clear, the method is selected to fit the type of technical challenge. TRIZ Asia does not force every project through the same tool.

ARIZ Application

A rigorous TRIZ problem-solving process for difficult inventive problems where contradictions, resources and problem structure must be analysed in depth.

Clone Problem Application

Reframes the challenge through an analogous or transformed version of the problem so that useful solution logic becomes easier to identify.

Inventive Principle Application

Uses recurring inventive strategies to challenge conventional design assumptions and generate alternative solution directions.

Function-Oriented Search

Generalizes the required function and searches across industries and technical fields for leading mechanisms that already perform that function effectively.

Standard Solution Application

Applies established TRIZ solution patterns to recurring classes of technical interactions and system problems.

Scientific Data Base Application

Searches scientific effects, physical principles and technical phenomena that may provide mechanisms for performing the required function.

Step 4

Concept Substantiation

A promising idea is not yet a solution. The roadmap continues beyond idea generation to resolve new technical issues, build evidence and evaluate whether the concept is strong enough to progress.

Tool What it does
Secondary Problem Solving
Identifies and resolves new technical problems created when the proposed solution is introduced into the real system.
Idea Substantiation
Develops the technical reasoning, evidence and preliminary testing needed to determine whether a concept is credible.
Super Effect Analysis
Examines additional useful effects or system-level benefits that may become available once the proposed concept is introduced.
Concept Evaluation
Compares developed concepts against project objectives, feasibility, value, risks and the evidence required for further development.

From Concept to Implementation — Stage-Gate Development

The Stage-Gate approach converts technical reasoning into practical evidence. Each stage reduces a different type of uncertainty, and defined Go / No-Go points determine whether further investment is justified.

Stage 1

Analysis & Problem Identification

Purpose

Identify the key technical problems, perform Function Analysis and Cause-Effect Chains Analysis, and develop prioritized conceptual directions.

Typical output

Key-problem definition, prioritized conceptual directions and preliminary solution logic.

Stage 2

Problem Solving & Idea Generation

Purpose

Develop cost-effective solutions within the selected conceptual directions, compare alternatives and select the strongest concepts for further substantiation.

Typical output

Conceptual solution set, comparative evaluation and selected directions.

Stage 3

Feasibility Evaluation

Purpose

Build reasons to believe that the selected solution is feasible; estimate value, cost and IP potential; define what must be verified next.

Typical output

Feasibility rationale, value/cost estimates, IP-potential evaluation and prototyping recommendations.

Stage 4

Verification & Prototyping

Purpose

Develop proof-of-principle and working prototypes, test them, refine the design and define technical specifications for the next development stage.

Typical output

Prototype evidence, test results, refined design and technical specification.

Stage-gate principle — Evidence earns the next investment.

We do not automatically move from idea to development. At defined gates, the problem definition, solution logic, feasibility and available evidence are reviewed before additional resources are committed.

Prototype Maturity

01

Mock-up

Demonstrates appearance or a basic action principle. Full functionality is not required.

02

Proof-of-Principle Prototype (PoP)

Demonstrates that the core concept or mechanism is technically feasible, although full form, fit and performance may not yet be optimized.

03

Working / Pilot Prototype

Demonstrates the required functional performance and provides a stronger basis for field testing and manufacturing requirements.

04

Pre-Production / Industrial Prototype

Meets form, fit and functional requirements and provides the basis for commitment toward production.

How We Select Methods

Not every engagement requires every method. The method set is selected according to the value objective, system, key problem, evidence available and development stage.

  • A persistent failure problem may require Function Analysis and Cause-Effect Chains Analysis.
  • A difficult contradiction may require ARIZ or inventive principles.
  • A technology-search problem may require Function-Oriented Search.
  • A mature product or process may require S-Curve and Evolutionary Trends analysis.
  • A high-cost architecture may require Trimming.
  • A promising concept may require substantiation, secondary-problem solving and prototyping.

Cross-domain knowledge

Through its strategic partnership with GEN TRIZ, relevant engagements can access the GEN TRIZ Global Knowledge Network of more than 8,000 scientists, engineers and technical specialists across 25 countries. This enables focused access to specialist knowledge when the problem requires expertise beyond the immediate domain.

Specialist engineers collaborating across domains

Start with the challenge, not the method.

Tell us what must improve, what has already been tried, what must not get worse and what evidence is available. We will help determine the problem model, methods and next stage appropriate to the challenge.