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comparative-analysis

Compare groups across segments, cohorts, or time periods with materiality thresholds.

3|1|Updated Dec 12, 2025
Search Tags:#SQL#metrics#data-analysis#segmentation#data-quality#cohorts#comparative-analysis
One-click install
npx skills add https://github.com/tilmon-engineering/claude-skills --skill comparative-analysis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: comparative-analysis
Source: https://github.com/tilmon-engineering/claude-skills/tree/main/plugins/datapeeker/skills/comparative-analysis
Command: npx skills add https://github.com/tilmon-engineering/claude-skills --skill comparative-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables practitioners to perform rigorous comparative analyses across groups (segments, cohorts, or time periods) to identify meaningful, apples-to-apples differences and understand the drivers behind them.

Core Features & Use Cases

  • Define and validate comparison groups, metrics, and materiality thresholds to ensure fair analysis.
  • Run phase-based workflows (definition, segmentation, metric comparison, explanation, and conclusions) to produce structured, reproducible results.
  • Generate interpretive outputs that explain WHY differences exist and provide actionable recommendations.

Quick Start

Load a comparison session with groups Northeast and Southeast, date range 2024-01-01 to 2024-03-31, and metrics revenue and customer_count, then review the Phase 3 outputs.

Frequently Asked Questions about comparative-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I compare segments across different regions using apples-to-apples metrics?▼

Apples-to-apples segment comparison requires defining and validating comparison groups, metrics, and materiality thresholds to ensure fair analysis. This Skill runs phase-based workflows that produce structured, reproducible results explaining why regional differences exist.

What's the best way to analyze cohort variations across time periods in business analytics?▼

Cohort variation analysis identifies meaningful, apples-to-apples differences across time windows to uncover drivers behind changes. The Skill applies phase-based workflows covering definition, segmentation, metric comparison, explanation, and conclusions to generate actionable recommendations.

Can I set explicit materiality thresholds for data quality checks during comparative analysis?▼

Explicit materiality thresholds are supported during comparative analysis to define and validate comparison groups and metrics. This ensures fair analysis by filtering out immaterial differences and focusing structured explanations on meaningful variations that guide decisions.

Does comparative analysis work with SQL metrics for segmenting products by revenue?▼

SQL metrics like revenue and customer_count are supported for segmenting products in comparative analysis. You load a comparison session with specified groups, date ranges, and metrics, then review structured phase outputs that explain the drivers behind product variations.

Why do my time-period comparisons show misleading differences between groups?▼

Time-period comparisons show misleading differences when groups lack apples-to-apples validation. This Skill defines and validates comparison groups with explicit materiality thresholds and phase-based workflows to ensure differences are meaningful and explain the actual drivers behind variations.

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