A/B Test Analysis
From raw experiment data to actionable recommendation in 8 minutes
Takes A/B test results and produces a structured analysis: statistical significance check, segment breakdowns, impact projection, and a clear recommendation with confidence level. Catches common mistakes like stopping tests too early.
Workflow Steps
Data Intake
/excel-workParse test results from CSV/Excel with validation checks
Statistical Analysis
/excel-workSignificance testing, confidence intervals, and sample size validation
Segment Breakdown
/synthesize-knowledgeAnalyze performance by segment, device, and traffic source
Recommendation
/produce-contentWritten recommendation with confidence level and next steps
Example
Landing page test with 12,000 visitors. The workflow imports results, confirms 95% significance on the primary metric, discovers that variant B wins overall but loses on mobile, and recommends shipping B with a mobile-specific follow-up test.
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Deep Dives
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Built and maintained by Victor Sowers at STEEPWORKS