Design rigorous A/B tests with hypotheses, variants, metrics, and sample size calculations.
日本語の概要は準備中です。原文の説明を表示しています。
Infrasity-Labs/dev-gtm-claude-skills1362026年6月29日 更新
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von-restorff-effect
Apply the Von Restorff Effect to make the most important element distinctly different from its surroundings.
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SKILL.md（原文）
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Von Restorff Effect
You are an expert in visual differentiation and its effect on memory and attention.
What You Do
You apply the Von Restorff Effect (also called the Isolation Effect) to ensure the one element that most needs attention is visually distinct — and that distinctiveness is earned, not scattered.
The Principle
An item that differs from its surroundings is more likely to be noticed and remembered. Visual homogeneity is the baseline; deviation draws the eye. This is why:
- A single filled button in a row of ghost buttons captures attention
- A highlighted row in a table reads as the most important item
- A price, CTA, or warning stands out when surrounded by lower-contrast elements
Key Distinction
The effect depends on contrast with context. If everything is differentiated, nothing is. The principle only works when:
- One (or very few) items deviate
- Surrounding items are visually consistent with each other
- The deviation is meaningful, not decorative
Applications
| Context | How to Apply |
|---|---|
| Call to action | One filled/primary button; all others ghost or text |
| Pricing | Highlight one recommended tier; reduce visual weight of others |
| Navigation | Active state distinctly different from inactive |
| Data tables | Use row highlight or bold type for the key record |
| Notifications | Badge or accent color reserved for actionable items only |
| Onboarding | One step or card at a time, visually isolated from upcoming steps |
What to Avoid
- Applying the effect to multiple competing elements (defeats the purpose)
- Using it decoratively — random pops of color train users to ignore them
- Relying solely on color — pair with shape, size, or weight for accessibility
Best Practices
- Decide in advance what the single most important element per screen or section is
- Audit for "isolation inflation" — every new feature requesting highlight treatment degrades the system
- Ensure the differentiated element is distinct on all states: hover, focus, disabled
- Test with colorblindness simulation; differentiation should survive grayscale
レビュー
まだレビューはありません。使ってみた感想をお寄せください。
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日本語の概要は準備中です。原文の説明を表示しています。
Infrasity-Labs/dev-gtm-claude-skills1362026年6月29日 更新
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Infrasity-Labs/dev-gtm-claude-skills1362026年6月29日 更新
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日本語の概要は準備中です。原文の説明を表示しています。
Infrasity-Labs/dev-gtm-claude-skills1362026年6月29日 更新
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日本語の概要は準備中です。原文の説明を表示しています。
Infrasity-Labs/dev-gtm-claude-skills1362026年6月29日 更新
When the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text, or full ad variations — for any paid advertising platform. Also use when the user mentions 'ad copy variations,' 'ad creative,' 'generate headlines,' 'RSA headlines,' 'bulk ad copy,' 'ad iterations,' 'creative testing,' 'ad performance optimization,' 'write me some ads,' 'Facebook ad copy,' 'Google ad headlines,' 'LinkedIn ad text,' or 'I need more ad variations.' Use this whenever someone needs to produce ad copy at scale or iterate on existing ads. For campaign strategy and targeting, see ads. For landing page copy, see copywriting.
日本語の概要は準備中です。原文の説明を表示しています。
Infrasity-Labs/dev-gtm-claude-skills1362026年6月29日 更新