Synthesis of Methodologies: TRIZ, Agile, and Theory of !resonances

TRIZ (Theory of Inventive Problem Solving) was formulated by G. S. Altshuller in the mid-20th century as a system of basic tools for cognitive analysis. Today, TRIZ is actively applied not only in engineering but also in business: the methodology allows finding the shortest path to a goal under conditions of high uncertainty and data scarcity.

At the same time, the Theory of !resonances offers a number of additional tools that significantly expand the capabilities of TRIZ, while multi-agent large language models (aLLM) are capable of acting as its digital module.

Ideal Final Result (IFR)

The primary objective to strive for when solving problems using TRIZ is the Ideal Final Result (IFR). This is a state in which a harmful factor eliminates itself while simultaneously performing a useful function.

The Concept of IFR in TRIZ:

An ideal system is a system that does not exist, yet its function is performed. In classical TRIZ, the ideal final result is achieved when an element of the system eliminates the emerging contradiction on its own, without complicating the design and without requiring additional expenditure of resources, energy, or time.

Limitations of the Classical Approach in Dynamic Environments

In the Theory of !resonances, a system (whether an individual or an entire organization) is typically located in a zone of high uncertainty. Under such conditions, classical brute-force searching for solutions according to TRIZ is not always effective:

• Time and Financial Costs: Searching for the ideal operator can consume too many resources.

• High Environmental Volatility: Due to the dynamics of the environment, it is impossible to obtain the same result twice given equal initial conditions.

• Lack of Accounting for Event Dynamics: Classical TRIZ operates with a static contradiction and does not take into account event !flows and their specific properties.

Adaptability Through Agile

The Agile methodology is traditionally used to work in situations of high uncertainty.

The Essence of Agile:

This is a flexible approach to management based on short iterations (sprints), continuous feedback retrieval, and readiness for change instead of rigid adherence to an initial plan. The search for the best solution occurs through constant analysis of the current situation and setting up minimal hypothetical experiments (MVP) to verify factors located in the "blind spot."

Three-Dimensional Decision-Making Matrix

The Theory of !resonances combines the strengths of all three approaches into a single framework:

1. Goal-Setting from TRIZ: Utilizing the concept of IFR to clearly formulate the image of an ideal solution.

2. Flexibility from Agile: Iterative search for solutions through a high share of analytics of the current situation and conducting micro-experiments in the zone of uncertainty.

3. Toolkit of the Theory of !resonances:

   • Analysis of Slots and Patterns: Utilizing knowledge about past !time slots and !flow patterns. The external environment may change, but the pattern itself remains fairly stable.

   • Phase Application of Forces: Application of efforts occurs exclusively at the moment when the !flow is active, and resources are not expended when another !flow is activated in the current slot.

   • Digital Orchestration: Involving bots based on multi-agent large language models (aLLM) to automatically track !flow parameters.