When should I avoid applying Hick's Law?

Hick's Law may not apply to expert users who have mastered complex shortcuts, emergency systems where responses are trained, or situations where choices are sequential rather than parallel.

Can I use this skill to improve conversion rates?

Yes. By reducing the number of choices in a conversion funnel, you decrease the cognitive friction that leads to drop-offs and decision paralysis, typically resulting in higher completion rates.

How does this Claude Code skill help with UX audits?

The skill provides a structured analysis framework to map decision points, categorize choices as essential or redundant, and apply reduction strategies like progressive disclosure to improve the flow.

What is Hick's Law in the context of UI design?

Hick's Law states that the time it takes for a user to make a decision increases logarithmically with the number of choices provided. In UI design, it is used to justify simplifying menus and flows to improve speed and satisfaction.

Hick's Law UI Optimizer

Name: Hick's Law UI Optimizer
Author: Microck

byMicrock

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디자인 도구

Optimizes user interface decision-making speed by strategically managing and reducing choice quantity to lower cognitive load.

The Hick's Law UI Optimizer is a specialized skill designed to streamline user experiences by applying the Hick-Hyman Law principle, which correlates decision time with choice complexity. It provides developers and designers with a rigorous framework for auditing navigation menus, onboarding flows, and configuration screens to prevent decision paralysis. By implementing specific techniques such as information chunking, progressive disclosure, and smart defaults, this skill helps transform cluttered interfaces into high-conversion, intuitive digital products that respect the user's cognitive limits.

주요 기능

01Standardized UX analysis templates for rapid interface reviews

02Decision point auditing and complexity mapping framework

03Mathematical reaction time analysis using the Hick-Hyman formula

04Contextual guidance for finding the 'sweet spot' of 4-7 options

05Choice reduction strategies including chunking and progressive disclosure

062 GitHub stars

사용 사례

01Optimizing e-commerce conversion funnels by reducing checkout friction and choices

02Simplifying multi-step onboarding and setup flows to increase completion rates

03Refining dense navigation menus and information architecture for better findability

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add microck/opendots-microck flpbalada-hicks-law

For use in Claude.ai and ChatGPT

Download Skill