What is the 'Paradox of Choice' included in the toolkit?

It refers to the phenomenon where too many options lead to user anxiety and paralysis; the skill helps find the 'sweet spot' (usually 4-7 items) for maximum user satisfaction and conversion.

Can I use this for backend or API design?

While primarily focused on UI/UX, it can be applied to any system where a user or developer must choose between multiple configurations, ensuring the most common paths are prioritized.

What is Hick's Law in the context of this skill?

Hick's Law states that the time it takes to make a decision increases with the number and complexity of choices. This skill helps Claude apply this principle to simplify your software interfaces and improve user efficiency.

How does this skill help developers and designers?

It provides an analysis framework to audit current UI options, categorize choices, and suggest reduction strategies like chunking, smart defaults, or progressive disclosure to minimize user hesitation.

Hick's Law Optimizer

Name: Hick's Law Optimizer
Author: flpbalada

byflpbalada

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Design Tools

Optimizes user decision-making speed by streamlining interface choices and reducing cognitive load within software designs.

About

The Hick's Law skill provides a structured framework for Claude to analyze and simplify complex decision points within software interfaces. Based on the psychological principle that decision time increases logarithmically with the number of options, this skill helps developers and designers audit navigation menus, onboarding flows, and dashboards to prevent user paralysis. By applying proven techniques like chunking, progressive disclosure, and smart defaults, it enables Claude to provide actionable recommendations that enhance user experience and improve conversion rates by making choices faster and more intuitive.

Key Features

Progressive disclosure planning for complex features
Logarithmic decision time impact analysis
Automated decision point auditing and inventory
9 GitHub stars
Choice reduction strategy generation (Chunking, Defaults)
Interface simplification frameworks

Use Cases

Optimizing dashboard layouts to prevent feature overwhelm and decision paralysis
Simplifying complex navigation menus and information architecture
Reducing friction in user onboarding and registration flows

About

Key Features

Progressive disclosure planning for complex features
Logarithmic decision time impact analysis
Automated decision point auditing and inventory
9 GitHub stars
Choice reduction strategy generation (Chunking, Defaults)
Interface simplification frameworks

Use Cases

Optimizing dashboard layouts to prevent feature overwhelm and decision paralysis
Simplifying complex navigation menus and information architecture
Reducing friction in user onboarding and registration flows