Experiment Designer
技能 已验证 活跃Use when planning product experiments, writing testable hypotheses, estimating sample size, prioritizing tests, or interpreting A/B outcomes with practical statistical rigor.
To empower product teams to plan and execute statistically sound experiments, make data-driven decisions, and avoid common pitfalls in experiment design and interpretation.
功能
- Hypothesis writing in If/Then/Because format
- Definition of primary, guardrail, and diagnostic metrics
- Sample size estimation using a Python script
- Experiment prioritization with ICE scoring
- Guidance on stopping rules and result interpretation
使用场景
- Planning A/B and multivariate experiments
- Writing testable product hypotheses with clear criteria
- Estimating required sample sizes for statistical significance
- Prioritizing product experiments based on Impact, Confidence, and Ease
- Interpreting statistical outputs of experiments with practical business context
非目标
- Performing the experiment execution or data collection
- Interpreting results without statistical rigor
- Handling complex statistical models beyond basic A/B testing
- Automating the implementation of experiment changes
安装
请先添加 Marketplace
/plugin marketplace add alirezarezvani/claude-skills/plugin install product-team@claude-code-skills质量评分
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