Ab Test Analyzer
VerifiedAb Test Analyzer — testing and quality assurance tool.
$ Add to .claude/skills/ About This Skill
Content available in Chinese
# ab-test-analyzer
描述 A/B 测试分析器 - 自动分析测试数据，计算统计显著性，给出优化建议。适合：产品经理、运营、增长黑客。
功能 - 数据导入与分析 - 统计显著性计算 - 可视化报告 - 优化建议 - 多变量测试支持
使用场景 1. 落地页优化 - 哪个版本转化高？ 2. 邮件主题行 - 哪个打开率高？ 3. 按钮文案 - 哪个点击率高？
命令示例 ```bash # 导入数据 openclaw run ab-test-analyzer import test_data.csv
# 分析结果 openclaw run ab-test-analyzer analyze --metric conversion
# 生成报告 openclaw run ab-test-analyzer report --output report.md ```
输出示例 ``` 📊 A/B 测试结果
测试：落地页 CTA 按钮颜色 指标：点击率
| 版本 | 访客 | 点击 | 点击率 | |------|------|------|--------| | A (蓝色) | 1000 | 50 | 5.0% | | B (绿色) | 1000 | 75 | 7.5% |
结果：B 胜出 提升：+50%（5.0% → 7.5%） 置信度：95.2%（统计显著）
- 建议：
- 采用绿色按钮
- 继续测试其他元素
- 预计额外收入：+¥XXX/月
- ```
注意事项 - 需要足够样本量 - 建议置信度 > 95% - 避免过早停止测试
Use Cases
- Analyze landing page A/B test results to determine which variant converts better
- Calculate statistical significance for email subject line open rate experiments
- Generate visual reports comparing button text, color, or layout variations
- Run multivariate tests across multiple UI elements simultaneously
- Get data-driven optimization recommendations based on test outcomes and confidence levels
Pros & Cons
Pros
- +Automates statistical significance calculations — no manual stats knowledge needed
- +Generates actionable optimization recommendations alongside raw test results
- +Supports multivariate testing beyond simple A/B two-variant comparisons
Cons
- -Documentation primarily in Chinese — may be harder for English-speaking users
- -Requires sufficient sample size to produce meaningful results; no built-in sample calculator
- -No direct integration with analytics platforms — data must be imported via CSV
FAQ
What does Ab Test Analyzer do?
Ab Test Analyzer — testing and quality assurance tool.
What platforms support Ab Test Analyzer?
Ab Test Analyzer is available on Claude Code, OpenClaw.
What are the use cases for Ab Test Analyzer?
Analyze landing page A/B test results to determine which variant converts better. Calculate statistical significance for email subject line open rate experiments. Generate visual reports comparing button text, color, or layout variations.
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