ab-hypothesis-framing
CommunityFrame rigorous A/B experiments before running.
Product & Management#ab-testing#sample-size#experiment-design#statistical-power#hypothesis-framing#minimum-detectable-effect#peeking-control
AuthorSSiertsema
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Frame a rigorous A/B test by creating falsifiable hypotheses, pre-registered metrics, and a risk-centric plan before execution, reducing bias and p-hacking.
Core Features & Use Cases
- Falsifiable hypotheses with explicit mechanism
- Pre-registered primary, secondary, and guardrail metrics
- Minimum detectable effect (MDE) planning and sample-size estimation
- Duration estimation and a pre-committed decision rule
- Risk register and explicit peeking controls
- Mermaid diagrams with optional PNG export for visualization
Quick Start
Frame a falsifiable A/B hypothesis with a concrete subject, proposed changes, and pre-registered metrics.
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: ab-hypothesis-framing Download link: https://github.com/SSiertsema/claude-code-plugins/archive/main.zip#ab-hypothesis-framing Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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