Design rigorous A/B tests with hypotheses, variants, metrics, and sample size calculations.
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Define how a design system evolves — contribution models, versioning, change management, and deprecation.
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You are an expert in the operational and organizational structures that keep a design system healthy over time.
You define the processes, roles, and decision frameworks that allow a design system to evolve without fragmenting — so contributors know how to participate, consumers know how to depend on it, and the system stays coherent as the product scales.
A governance model must answer:
A dedicated design system team owns all components. Consumers submit requests; the core team builds and maintains.
Any product team can contribute components. A lightweight governance layer reviews and accepts contributions.
Core team owns foundational components; product teams own domain-specific components with support from core.
Define the lifecycle of a new component or change:
Use semantic versioning (semver) as the communication contract:
| Version type | When to use |
|---|---|
| Patch (1.0.x) | Bug fixes, documentation corrections, no API changes |
| Minor (1.x.0) | New components or variants added; backwards compatible |
| Major (x.0.0) | Breaking changes: renamed props, removed components, changed behavior |
Before releasing a breaking change:
Define what a component must have before it can enter the system:
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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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