Documents, Data, and Artifacts
Working with files: CSVs, contracts, handbooks, financial data. A messy 50-row CSV that takes an hour to analyze by hand. Claude finds the anomalies in under a minute, if you ask the right way.
80 minutes
Power users
Prerequisite: Module 06
Learning Objectives
- Upload and analyze CSV data with structured prompts
- Extract insights from documents (contracts, policies, handbooks)
- Perform financial variance analysis
- Identify data quality issues automatically
Session Timing
| Segment | Activity | Time |
|---|---|---|
Opening | What Claude can work with — file types and capabilities | 5 min |
Demo | Same CSV, vague vs. structured prompt — revealing hidden data quality issues | 20 min |
Demo | Employee handbook legal risk analysis | 10 min |
Demo | Q4 variance analysis for CFO | 10 min |
Exercise | Groups find all issues in the messy CSV — scored against answer key | 25 min |
Debrief | Prompt specificity scales analysis quality | 10 min |
Demo Data
Download before the session. Run every prompt yourself first so nothing surprises you at the projector.
quarterly-sales-messy.csv
51 rows of Q4 2025 sales data with intentional quality issues
data-detective-exercise.md
Exercise instructions, expected findings, key metrics
employee-handbook-excerpt.txt
PTO, attendance, electronic communications, safety policies
quarterly-financials.csv
Five quarters of P&L data plus Q4 2025 budget