Tagged: knowledge management
12 posts
How to know if your knowledge base fix actually worked
Know if your knowledge base fix worked with automatic gap re-scoring. Learn how retrieval validation closes the loop between edits and outcomes.
How to find and prioritize knowledge base gaps
Turn failed searches into a content roadmap. Learn gap detection methods, hard vs soft gaps, and how to systematically fix knowledge base coverage.
Why knowledge base search fails users
How to bridge the gap between user questions and knowledge base answers. Techniques that work at storage vs query time, and why the retrieval system isn't where the fix happens.
Quality happens at storage, not at search
Retrieval tuning can't fix a storage problem. Learn why knowledge base quality is determined at ingest time, and what contextual retrieval and HyPE actually do.
The self-managing taxonomy is a myth
AI can classify documents reliably. It cannot design taxonomy structure. Learn why every production knowledge base needs human governance for categories.
Three axes, not one label
Why single type fields fail in knowledge systems. Learn how provenance origin, assertion mode, and synthesis depth drive better metadata design for knowledge bases.
Evidence vs. claims: the distinction that changes everything
Evidence vs claims: why source documents and knowledge artifacts require different handling in knowledge systems. A critical distinction for organizational knowledge.
Decisions deserve their own data model
Why decision data models matter: structure your organizational decisions with 5 fields. Capture rationale, alternatives, and consequences to build organizational memory.
The handbook is your knowledge base's first draft
Knowledge bases fail when they compete with culture. Handbook-first organisations document by default, and that foundation is what makes AI-augmented knowledge tools actually useful.
The self-improving knowledge base
Most knowledge bases decay silently. A self-improving system detects gaps, prioritises fixes, and stays accurate without constant curation. Here is how.
Why you should never delete knowledge
Most companies delete outdated knowledge. That destroys institutional memory. Here is why knowledge retention means evolving, not overwriting.
Your company knows more than it can find
Most organizational knowledge lives in heads, Slack threads, and meetings. Here is why tacit knowledge loss is expensive, and how to fix it.