📅 2025-08-18 — Session: Comprehensive Triage and Structuring of Data Clusters
🕒 21:05–22:25
🏷️ Labels: Triage, Documentation, Data Management, Ai Processing, Knowledge Management
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal:
To perform a comprehensive triage and structuring of data clusters, aiming to streamline documentation and enhance knowledge management systems.
Key Activities:
- Initial Reflection: Analyzed 30 cluster files to identify patterns and propose future AI-assisted processing strategies.
- Minimal Collection Strategy: Developed a strategy to organize materials into two books and an appendix, addressing recurrent tensions.
- Mind Map/TOC Management: Implemented a structured approach for managing a mind map or table of contents, focusing on versioning and minimizing sprawl.
- Project Triage: Conducted triage for spatial and poverty measurement projects, deciding on content retention and TOC updates.
- Cluster Structuring: Detailed triage for clusters 70-79, integrating components into documentation and identifying areas needing attention.
- Book Structuring: Reviewed clusters 80-89 for book placement, suggesting modifications and uses.
- Route Planning: Categorized items C90-C99 and C100-C109 into predefined routes, updating documentation and playbooks.
Achievements:
- Completed triage and structuring for multiple cluster sets, enhancing clarity and organization.
- Established a foundation for future documentation and AI processing strategies.
Pending Tasks:
- Finalize documentation updates based on triage outcomes.
- Continue refining AI processing strategies for larger datasets.