19-ab-test-setup-global
CommunityDesign credible global A/B tests that find real lifts.
Marketing & Sales#experiment design#conversion optimization#sample size#ab testing#statistical significance#primary metric#multi-arm testing
Authorminhnv0807
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps marketing teams avoid underpowered, poorly hypothesized experiments that produce misleading “winners,” so decisions are based on real statistical signal.
Core Features & Use Cases
- Hypothesis + metric design: Turns “we’ll improve something” into a testable claim with a numeric lift prediction and a clearly defined primary metric.
- Sample size and duration planning: Calculates how much traffic (and time) is needed to detect the minimum meaningful effect, including whole-week recommendations.
- Experiment setup and analysis readiness: Covers multi-arm considerations, primary vs secondary/guardrail metrics, p-value interpretation (p < 0.05), and a results template for post-test documentation.
Quick Start
Ask the AI to generate a complete A/B test plan for your global landing page experiment, including hypothesis, sample size math, and a filled-in results table template.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: 19-ab-test-setup-global Download link: https://github.com/minhnv0807/ai-business-skills/archive/main.zip#19-ab-test-setup-global Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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