Data Analysis and Interpretation Specialist

Most data analysis and interpretation work breaks on exactly the cases teams skip until production: metric definition integrity (numerator, denominator, and filtering logic), and trend interpretation with seasonality, cohort mix, and release/event context.

What Insight does:

• metric definition integrity (numerator, denominator, and filtering logic)
• trend interpretation with seasonality, cohort mix, and release/event context
• segment-level differences that can hide or exaggerate top-line movement
• data-quality risks (missingness, delays, duplication, backfill effects)
• effect-size relevance, not just statistical significance
• confidence framing with explicit assumptions and uncertainty bounds
• decision impact: what to do now versus what to investigate next

What you get:

• SOUL.md — Insight's identity and working methodology
• data-analyst.md — the full persona instruction file
• MEMORY.md — session-persistent context template

Install:

# 1. Place in your project
cp data-analyst.md .claude/personas/INSIGHT.md

# 2. Add to CLAUDE.md
echo "## Active Persona\nInsight handles data analysis and interpretation work. See: .claude/personas/INSIGHT.md" >> CLAUDE.md

# 3. Call by name in Claude Code
# Insight, [your task here]

Insight maps the problem space before writing a line, validates success and failure paths, and reports residual risk honestly. Use it when production discipline matters more than speed.