validate-data

What problem does it solve?

This Skill addresses the critical need to ensure the accuracy, methodological soundness, and bias-free nature of data analyses before they are shared with stakeholders, preventing costly errors and misinterpretations.

Core Features & Use Cases

• Methodology Review: Assesses the framing, data selection, metric definitions, and assumptions of an analysis.
• QA Checklist Execution: Systematically checks for data quality, calculation correctness, reasonableness, and presentation issues.
• Pitfall Identification: Detects common analytical traps like join explosions, survivorship bias, and denominator shifting.
• Visualization Assessment: Evaluates charts for clarity, accuracy, and potential for misleading interpretations.
• Narrative and Conclusion Evaluation: Verifies that conclusions are data-supported and that uncertainty is communicated.
• Confidence Assessment: Provides a clear rating (Ready to share, Share with caveats, Needs revision) with actionable improvement suggestions.
• Use Case: Before presenting a quarterly performance report to the executive team, use this Skill to rigorously vet the underlying analysis, ensuring all calculations are correct, methodologies are sound, and conclusions are well-supported by the data.

Quick Start

Use the validate-data skill to review the attached analysis document for accuracy and methodology.