A B Test Statistical Analyzer

Output Schema

{
  "results": [{
    "metric": "string",
    "controlValue": "number",
    "variantValues": ["number"],
    "pValue": "number",
    "confidenceInterval": "object",
    "significant": "boolean"
  }],
  "srmCheck": "object",
  "recommendation": "string"
}

Target Processes

• A/B Testing Pipeline
• Feature Store Setup

Usage Guidelines

1. Provide complete experiment data for control and variants
2. Define metrics with appropriate types
3. Select analysis methodology based on requirements
4. Review SRM checks before interpreting results

Best Practices

• Always check for sample ratio mismatch before analysis
• Use appropriate statistical tests for metric types
• Consider practical significance alongside statistical significance
• Account for multiple comparison corrections
• Document assumptions and limitations