When should I use the Future Reality Tree skill?

Use it for high-stakes decisions, complex system changes, or when past solutions have had unexpected negative side effects.

How does this differ from a Current Reality Tree?

A Current Reality Tree (CRT) diagnoses existing root causes of problems, whereas the Future Reality Tree validates if a proposed solution actually fixes those causes.

What is a Future Reality Tree?

A Future Reality Tree (FRT) is a logical tool from the Theory of Constraints used to simulate the impact of a proposed change, ensuring it achieves goals without creating new problems.

What are 'Negative Branches' in this framework?

Negative Branches are unintended undesirable effects that could result from your solution. The FRT process focuses on identifying and 'trimming' these early.

Future Reality Tree Logic

Name: Future Reality Tree Logic
Author: lev-os

bylev-os

0•

Productividad y Flujo de Trabajo

Validates proposed solutions through cause-and-effect mapping to ensure they resolve core problems without creating unintended negative consequences.

The Future Reality Tree (FRT) skill implements the third phase of Eliyahu Goldratt's Theory of Constraints, providing a rigorous framework for 'what-if' logic simulations. It enables users to map how specific changes or 'injections' cascade through a system to produce Desired Effects (DEs) while systematically identifying and 'trimming' potential negative side effects. This skill is essential for complex architectural decisions, policy changes, or high-risk implementation planning where logical proof is required to build stakeholder buy-in and prevent well-intentioned solutions from backfiring.

Características Principales

010 GitHub stars

02Systematic mapping of causal chains from injections to desired outcomes

03Framework for transforming theoretical solutions into actionable plans

04Logical sufficiency testing to validate assumptions before implementation

05Identification and 'trimming' of negative branches to prevent side effects

06Structured documentation of expected ROI and system-wide impacts

Casos de Uso

01Building stakeholder consensus for high-risk strategic changes

02Validating complex architectural shifts or technical migrations

03Predicting the ripple effects of new team policies or workflows

Características Principales

010 GitHub stars

02Systematic mapping of causal chains from injections to desired outcomes

03Framework for transforming theoretical solutions into actionable plans

04Logical sufficiency testing to validate assumptions before implementation

05Identification and 'trimming' of negative branches to prevent side effects

06Structured documentation of expected ROI and system-wide impacts

Casos de Uso

01Building stakeholder consensus for high-risk strategic changes

02Validating complex architectural shifts or technical migrations

03Predicting the ripple effects of new team policies or workflows