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AI-Ready Codebook Builder | EvalCommunity Academy
Module II – AI-Powered Data Collection & Management | Template 2.6A

AI-Ready Codebook Builder

Create comprehensive, structured codebooks optimized for AI-assisted thematic coding in qualitative analysis. Build your codebook with clear definitions, inclusion/exclusion criteria, and example quotes that ensure consistent, accurate AI coding results.

📊 Codebook Completeness

⬜ Project Metadata
⬜ Coding Rules
⬜ Codes (min 5)
⬜ Admin Codes
SECTION 1

Project Information

SECTION 2

Coding Rules & AI Instructions

SECTION 3

Thematic Codes

Build your evaluation-specific codes. We recommend 10-30 codes for most projects.

SECTION 4

Administrative Codes

These standard codes handle edge cases and ensure comprehensive coverage.

💾 Export Your Codebook

Export Formats:

  • Text (.txt): Simple format for copy-paste into AI prompts and documentation
  • JSON (.json): Structured format for API-based AI implementations and automation
  • CSV (.csv): Spreadsheet format for team collaboration and version tracking
  • Print: Formatted PDF-ready view for team reference and archiving

✨ Codebook Best Practices

✅ Test Before Full Implementation

Have 2-3 human coders test your codebook on 20 sample responses. Aim for >80% agreement on primary codes. Note disagreements and refine definitions.

✅ Use Real Example Quotes

Include 2-3 actual anonymized quotes from your data in each code. This trains both AI and human coders more effectively than hypothetical examples.

✅ Keep Codes Mutually Exclusive Where Possible

Clear boundaries between codes improve consistency. Use exclusion criteria to specify what looks similar but belongs elsewhere.

⚠️ Avoid These Common Pitfalls

  • Vague definitions without specific inclusion criteria
  • Overlapping codes with unclear boundaries
  • No example quotes or edge case guidance
  • Too many codes (>30) or too few codes (<5) for typical projects

📚 Additional Resources

For comprehensive guidance on AI-assisted thematic coding, explore these resources:

AI-Ready Codebook Builder | Module II: AI-Powered Data Collection & Management

© 2026 EvalCommunity Academy. Template 2.6A | Version 2026.1

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