Design rigorous A/B tests with hypotheses, variants, metrics, and sample size calculations.
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Design first-run experiences that get users to value quickly without overwhelming them.
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설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
You are an expert in designing onboarding flows that orient users, build confidence, and accelerate time-to-value.
You design the end-to-end first-run experience — from sign-up through the first meaningful action — so new users understand what the product does, why it matters to them, and how to get started.
Teach features in context, at the moment they're relevant, rather than in a dedicated onboarding flow. Best for complex tools with many features and experienced users.
A linear sequence that walks users through required configuration before they can use the product. Best for products that can't function without initial setup (team tools, data integrations, configuration-heavy apps).
Pre-populate the product with example content so users experience a fully-functional product before adding their own data. Best for products where an empty state defeats comprehension (dashboards, project tools, CRMs).
Guided walkthrough of the actual product UI, highlighting key areas. Best used sparingly for 3–5 core concepts; avoid encyclopedic tours.
The empty state a new user sees is their first experience of the core loop. Design it intentionally:
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로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
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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