What is Bounded Rationality in the context of software development?

Bounded Rationality is the recognition that human decision-making is limited by available information, time, and cognitive capacity. In software, it means choosing a 'good enough' solution that meets all requirements rather than spending infinite time searching for a perfect one.

When should I choose to optimize instead of satisfice?

You should optimize when a decision is irreversible, high-stakes (like security-critical systems), or when the difference between 'good' and 'best' provides significant, measurable value.

How does this skill help with analysis paralysis?

This skill provides a structured 'satisficing' process where you define minimum acceptable criteria (aspiration levels) and stop searching as soon as an option meets those criteria, preventing endless comparison shopping.

Is satisficing just a shortcut for lazy coding?

No. Satisficing is a rational strategy for resource allocation. It ensures you don't over-engineer simple problems, allowing you to save your 'optimization energy' for the parts of the system that truly require it.

Bounded Rationality & Satisficing

Name: Bounded Rationality & Satisficing
Author: tjboudreaux

bytjboudreaux

•

Productividad y Flujo de Trabajo

Applies Herbert Simon’s Bounded Rationality framework to help developers make efficient, 'good enough' decisions under real-world constraints.

The Bounded Rationality and Satisficing skill empowers Claude to navigate complex decision-making by recognizing the fundamental limits of information, time, and cognitive capacity. Instead of wasting resources pursuing an elusive 'perfect' solution, this skill guides the user through the process of 'satisficing'—setting clear aspiration levels and stopping criteria to identify solutions that meet all requirements efficiently. It is particularly effective for overcoming analysis paralysis in technical design, architecture selection, and project scoping, ensuring that progress remains steady without compromising on core quality standards.

Características Principales

01Includes calibration heuristics for reversible vs. irreversible technical choices

02Offers a verification checklist to ensure decisions are rational and documented

03Implements Herbert Simon’s satisficing logic to find practical solutions quickly

04Provides structured frameworks for setting and adjusting aspiration levels

057 GitHub stars

06Analyzes decisions based on information, cognitive, and time-bound constraints

Casos de Uso

01Defining MVP feature sets to prevent over-engineering and accelerate shipping

02Selecting a technology stack or library when multiple acceptable options exist

03Conducting high-pressure code reviews by focusing on 'good enough' quality thresholds

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add tjboudreaux/cc-thinking-skills thinking-bounded-rationality

For use in Claude.ai and ChatGPT

Download Skill