experiment-metrics
OfficialScore trustworthy experiment metrics with STEDII
Product & Management#data-analytics#guardrails#ab-testing#metrics-framework#stedii#experiment-metrics#statistical-power
Authorcoalesce-labs
Version1.0.0
Installs0
System Documentation
What problem does it solve?
STEDII framework helps teams select trustworthy experiment metrics, ensuring metric validity and reliability to guide data-driven decisions.
Core Features & Use Cases
- Defines a primary metric and 3-5 guardrail metrics for experiments.
- Provides a six-dimension STEDII scoring rubric (Sensitive, Timely, Efficient, Debuggable, Interpretable, Isolated) to evaluate candidate metrics.
- Includes pre-experiment checks (A/A sanity checks, variance assessment, sample size planning) and guidance for segmentation planning.
- Offers a structured decision framework and practical examples to apply metrics decisions in real projects.
Quick Start
Define a primary metric and 3-5 guardrail metrics for your upcoming experiment using the STEDII framework and validate readiness with a pre-experiment checklist.
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-metrics Download link: https://github.com/coalesce-labs/catalyst/archive/main.zip#experiment-metrics Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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