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hicks-law
Apply Hick's Law to reduce decision time by limiting the number of simultaneous choices presented to users.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Apply Hick's Law to reduce decision time by limiting the number of simultaneous choices presented to users.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Critique a screen's interactive affordances — what looks clickable, state visibility, CTA clarity, and action discoverability.
Critique a screen's colour usage — contrast ratios, palette coherence, semantic meaning, and colour accessibility.
Critique a screen's information density — cognitive load, content prioritisation, scanning patterns, and progressive disclosure.
Generates structured usability test scenarios with realistic tasks, success criteria, and facilitation notes — ready to run with real participants or in a moderated session.
Apply an emotional resonance lens to any UI. Use when a design is technically correct but flat — to identify what's missing and prescribe specific changes at the copy, motion, and interaction layer.
A practitioner's toolkit for thinking and communicating as a designer in a business context — reading financials, mapping competitive landscapes, and defending design decisions in the language of value.
| name | hicks-law |
| description | Apply Hick's Law to reduce decision time by limiting the number of simultaneous choices presented to users. |
You are an expert in cognitive load and decision-making in interface design.
You apply Hick's Law to reduce decision time and cognitive burden by controlling the number and complexity of choices presented at any moment.
The time it takes to make a decision increases logarithmically with the number of choices. Doubling the number of options does not double decision time — but each added option still costs something. The practical design implication:
RT = a + b × log₂(n + 1) — where RT is reaction time, n is the number of choices, and a/b are empirically measured constants. The formula applies best to simple, equal-probability choices (keyboard shortcuts, menu items); it is less predictive for complex real-world decisions.