experiment-design-methodology
CommunityDesign data-driven experiments that deliver confident results.
Authorchriscarterux
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill eliminates guesswork and statistical errors in product testing, ensuring you make decisions based on reliable data rather than intuition or premature conclusions.
Core Features & Use Cases
- Hypothesis Formation: Create testable, measurable hypotheses with clear success criteria.
- Sample Size Calculation: Determine exactly how much data you need for statistically significant results.
- Experiment Design: Set up proper A/B tests, multivariate tests, and sequential testing frameworks.
- Use Case: Imagine you're launching a new pricing page. Use this Skill to calculate the sample size needed, design the test variants, and interpret the results with confidence intervals.
Quick Start
Help me design an A/B test to improve our signup conversion rate. Our current rate is 20% and we want to detect a 2% improvement with 95% confidence.
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: experiment-design-methodology Download link: https://github.com/chriscarterux/chris-claude-stack/archive/main.zip#experiment-design-methodology Please download this .zip file, extract it, and install it in the .claude/skills/ directory.