Technical problems complexity, as originally identified by G.I. Altshuller is a 5x7 matrix where possible solutions lie within that matrix.
Original analysis of any problem can be estimated by its scientific merits with broken-down 7 different categories of its complexity.
5 levels of technical problem complexity
(By MetaAI)
The 5 levels of technical problem complexity in TRIZ are categorized based on the novelty and innovativeness of solutions. Here's a breakdown¹:
- Level 1: Quantitative Improvement
- Description: Simple changes to existing systems, often involving optimization or parameter adjustments.
- Example: Increasing the power of an X-ray generator for testing larger objects or making a building's walls thicker to reinforce it.
- Level 2: Qualitative Improvement
- Description: Improvements within existing systems, often involving merging or modifying components.
- Example: Introducing an insulating layer to a coffee pot or merging an alarm clock and CD-player.
- Level 3: Extending to New Markets
- Description: Applying existing solutions to new markets or areas.
- Example: Using X-ray technology for non-destructive testing of constructions or security systems in airports.
- Level 4: Creating Radically New Function/Principle Combinations
- Description: Developing new systems or solutions that combine functions and principles in innovative ways.
- Example: Creating the first X-ray imaging device or the first semiconductor transistor.
- Level 5: Discovering New Principles
- Description: Groundbreaking discoveries that lay the foundation for future innovations.
- Example: Discovering X-rays or the principle of semi-conductivity.
These levels help TRIZ practitioners understand the complexity and potential impact of technical problems and guide them in finding innovative solutions.