send-experiment-designer
FeaturedUse when the user asks to "design an email A/B test", "set up a multivariate subject/CTA test", "run a send-time test", "build a hold-out group", or "is this email test significant — promote or kill?"; produces a falsifiable hypothesis, a one-variable-per-cell variant matrix, a sample-size / MDE / duration / power plan, and a documented significance read with a promote / kill / keep-testing call on your own ESP export. Not for computing the program-wide EQS or running the vetoes — use email-quality-auditor; not for writing the email itself — use email-creative-builder. 邮件AB测试设计/多变量测试/发送时间测试/留出组/显著性判定
Install
Quality Score: 98/100
Skill Content
Details
- Author
- aaron-he-zhu
- Repository
- aaron-he-zhu/aaron-marketing-skills
- Created
- 6 months ago
- Last Updated
- today
- Language
- Python
- License
- Apache-2.0
Bundled in these plugins
Similar Skills
Semantically similar based on skill content — not just same category
experiment-designer
Senior experimentation lead — designs A/B tests, multivariate experiments, statistical analysis, ROI measurement. Synthesizes Ronny Kohavi (Microsoft, A/B Testing), Optimizely, Eppo, Statsig patterns.
ad-test-designer
Use when the user asks to "design an A/B test", "set up a creative/landing test", "run an incrementality test", or "is this test significant — promote or kill?"; produces a hypothesis, variant matrix, sample-size/duration/power plan, a documented significance read, and a promote/kill decision on your own exported results. Not for producing the variants — use ad-creative-builder; not for reading back one shipped change vs a control — use paid-measurement-loop; not for cross-channel reporting — use performance-analyzer. 广告AB测试设计/实验设计/显著性判定/增效测试
experiment-designer
Design statistically rigorous A/B tests and interpret experiment results. Use when asked to design an experiment, run an A/B test, calculate sample size, interpret test results, or assess whether an experiment was successful. Produces a complete experiment design with hypothesis, sample size, run time, success criteria, and risk flags — or a results interpretation with ship/iterate/kill recommendation.