Analyze A/B test comparing {{variant_a}} vs {{variant_b}} for {{model}}. Step 1: Validate test setup (sample sizes, randomization, duration) Step 2: Calculate key metrics for each variant from {{metrics_data}} Step 3: Perform statistical significance tests Step 4: Check for confounding variables Step 5: Estimate practical significance and business impact Step 6: Make deployment recommendation with confidence level Show calculations and reasoning throughout.
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Details
Category
AnalysisUse Cases
A/B test analysisVariant comparisonStatistical evaluation
Works Best With
claude-opus-4.5gpt-5.2gemini-2.0-flash
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