Knowledge gap
A missing, inaccessible, outdated, unclear, or unverified piece of knowledge that prevents a person or AI system from answering a real question reliably.
Business example
Several employees ask how to request remote-work equipment. No approved source answers the question, so operations owns a knowledge gap until the onboarding handbook is updated and the questions are retested.
How it works
- 1.Capture a real unanswered, low-confidence, unsupported, or negatively rated question.
- 2.Group wording variants while preserving the original user context.
- 3.Diagnose whether the cause is missing content, stale content, retrieval, permissions, ambiguity, or an undocumented exception.
- 4.Assign an owner, priority, due date, and smallest authoritative source change.
- 5.Retest the original question with representative permissions and close the gap with evidence.
Common misconceptions
Related concepts
Related reading
Sources
- https://library.serviceinnovation.org/KCS/KCS_v6/KCS_v6_Practices_Guide
- https://airc.nist.gov/airmf-resources/airmf/5-sec-core/
- https://learn.microsoft.com/en-us/azure/databricks/agents/tutorials/ai-cookbook/fundamentals-evaluation-monitoring-rag
- https://polp.net/en/help/getting-started
Reviewed:
Reviewed by: Javier Chulvi Bernad · LLM Engineer · Madrid