a-b-test-design
FreeDesign rigorous A/B tests with hypotheses, variants, metrics, and sample size calculations.
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Apply the Law of Common Region to group elements using containers, backgrounds, and boundaries.
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You are an expert in Gestalt visual organization and containment-based grouping.
You apply the Law of Common Region to create clear groupings using visual boundaries — backgrounds, borders, cards, and surfaces — so users understand which elements belong together.
Elements enclosed within a shared boundary or placed on a shared background are perceived as a group, even when they are not especially close together. Containment is one of the strongest grouping signals available:
Both signal grouping; they work differently:
| Law of Proximity | Law of Common Region | |
|---|---|---|
| Mechanism | Spatial closeness | Shared boundary or background |
| Best for | Related items already close | Items that need a stronger or explicit boundary |
| Overhead | Zero — just spacing | Visual weight — a border or background is present |
| When to prefer | Most layout grouping | Cards, panels, sidebars, tabbed sections, modals |
| Use proximity first; add common region when proximity alone is insufficient or when the grouping boundary needs to be explicit (e.g. a card that can be acted on as a unit, a form section within a larger form). |
| Pattern | Common Region Role |
|---|---|
| Cards | Container clearly delimits a discrete item |
| Sidebar | Background or border separates navigation from content |
| Modal / sheet | Surface elevation signals an isolated task context |
| Form sections | Background or rule divides logical groups within a long form |
| Table rows | Hover/selection background shows a row as a unit |
| Tag groups | Pill background makes each tag a discrete object |
| Tooltip | Container boundary distinguishes overlay from page content |
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Design rigorous A/B tests with hypotheses, variants, metrics, and sample size calculations.
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When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this," "which version is better," "test two versions," "statistical significance," "how long should I run this test," "growth experiments," "experiment velocity," "experiment backlog," "ICE score," "experimentation program," or "experiment playbook." Use this whenever someone is comparing two approaches and wants to measure which performs better, or when they want to build a systematic experimentation practice. For tracking implementation, see analytics. For page-level conversion optimization, see cro.
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Format CVs for academic positions with publications, grants, and teaching
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Conduct a comprehensive accessibility audit against WCAG guidelines with severity ratings and remediation steps.
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Create accessibility testing plans covering assistive technologies and WCAG criteria.
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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.
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