Main idea and its purpose

TRIZ, which stands for Theory of Inventive Problem Solving, is a problem-solving methodology developed by Genrikh Saulovich Altshuller. The purpose of TRIZ is to provide a structured approach for solving complex problems and developing innovative solutions. The methodology is based on the idea that all technical problems have already been solved in some way, and that solutions to new problems can be found by studying existing solutions and patterns.

Scope of application, for example, when working with a group of a certain age and composition; in individual work, etc.

The ultimate goal of TRIZ is to help individuals and organizations develop a systematic and repeatable approach to problem-solving that leads to innovative and effective solutions. By using TRIZ, individuals can become more efficient and effective problem-solvers, and organizations can develop a culture of innovation that helps them stay competitive and adapt to changing environments.

Application guidance

TRIZ consists of a set of tools and techniques for analysing problems, identifying contradictions, and generating innovative solutions. These tools include the Contradiction Matrix - In TRIZ Matrix terminology a problem is often called a contradiction - which helps identify and resolve contradictions in a problem (TRIZ Matrix, Contradictions table, overcome contradiction with TRIZ (triz40.com)), and the 40 Inventive Principles, which provide a set of guidelines for generating new ideas and solutions.

The results of applying the method, for example, increasing the ability to go beyond standard solutions, etc.

The TRIZ matrix is applied to generate alternative solutions. As this is a systematic way to think about issues and get a hint about the most plausible solutions, these solutions are highly plausible because many of these solutions have been successfully implemented in the past and are therefore tried and tested with time. With the help of the TRIZ Matrix, one can first develop multiple solutions. This will help with the rational process of evaluating all the possible solutions and then coming up with the most feasible one.

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