Interpreting Results

소개

The Interpreting Results skill provides a structured 6-phase framework for analyzing data outputs within Claude Code. It helps users ground their analysis in business context, objectively describe patterns, brainstorm alternative explanations, and assess both statistical and practical significance. By enforcing intellectual honesty and requiring documentation of caveats, it prevents biased conclusions and ensures that data-driven decisions are based on solid, verified insights rather than data artifacts or unverified assumptions.

주요 기능

• 6-phase systematic interpretation framework
• Statistical and practical significance assessment tools
• Standardized documentation templates for result reporting
• Alternative explanation brainstorming to combat cognitive bias
• 2 GitHub stars
• Automated checklist for analytical rigor

사용 사례

• Validating if a data trend is a real pattern or a data quality artifact
• Drawing objective conclusions from complex SQL query results
• Presenting data-driven findings to stakeholders with honest caveats and follow-up paths