The Comparative Data Analysis skill provides a structured 5-phase framework for moving beyond simple data exploration into deep, evidence-based comparisons. It guides users through defining clear comparison frameworks, validating segment integrity, normalizing metrics for 'apples-to-apples' fairness, and investigating the root causes of observed variances. By enforcing a disciplined methodology, it ensures that data-driven conclusions are both statistically significant and practically meaningful, making it an essential tool for cohort analysis, performance benchmarking, and intervention impact assessment.
Características Principales
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02Structured 5-phase analysis workflow with mandatory checkpoints
03Built-in templates for documentation and reporting
04Normalization logic for fair 'apples-to-apples' comparisons
05Automated progress tracking using TodoWrite integration
06Causal investigation patterns to identify underlying drivers
