content-experimentation-best-practices
Content experimentation and A/B testing guidance covering experiment design, hypotheses, metrics, sample size, statistical foundations, CMS-managed variants, and common analysis pitfalls. Use this skill when planning experiments, setting up variants, choosing success metrics, interpreting statistical results, or building experimentation workflows in a CMS or frontend stack.
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A SKILL.md that gives an AI coding agent guidance on content experimentation and A/B testing, covering experiment design, hypotheses, metrics, sample size, statistical foundations, and common analysis pitfalls. It is organized into when-to-use, overview, and resources sections, with detailed references for design, statistics, CMS integration, and pitfalls.
Reach for it when your agent needs grounded best practices while planning experiments, setting up variants, choosing metrics, or interpreting statistical results in a CMS or frontend stack.
Use it to
- Design A/B or multivariate experiments for content changes
- Choose success metrics and calculate sample size
- Set up CMS-managed variants
- Interpret statistical significance and avoid analysis pitfalls
- Build experimentation workflows in a frontend stack
For Developers building experimentation features with an AI coding agent
- Host repository
- sanity-io/agent-toolkit
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- 3,400
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- JavaScript