Knowledge Half-Life
Definition
Knowledge half-life is the rate at which institutional knowledge degrades after the people who hold it leave, change roles, or simply forget. In most organizations, undocumented knowledge loses half its accessibility within 3 to 6 months.
What is Knowledge Half-Life?
The concept of knowledge half-life borrows from physics: just as radioactive material decays over time, organizational knowledge becomes less accessible the longer it goes undocumented. When a key team member leaves, changes roles, or simply moves on to new priorities, the knowledge they carried begins to fade from the organization.
The rate of decay depends on several factors. Highly specialized knowledge with few other holders decays fastest. Knowledge that is referenced frequently decays more slowly because it gets reinforced. And knowledge that is documented but stored in hard-to-find locations may technically exist but becomes functionally inaccessible, a form of decay in its own right.
Organizations can extend the half-life of their knowledge by capturing it close to the moment of creation, tagging it with relevant context (people, projects, decisions), and making it searchable through both keyword and semantic search. Reattend uses AI to automatically capture and connect knowledge, dramatically slowing the rate of knowledge decay.
Related concepts
Institutional Memory
Institutional memory is the collective knowledge, experiences, and context that an organization accumulates over time. It includes documented decisions, unwritten rules, relationship maps, failure knowledge, and the historical context that shapes how teams operate.
Tribal Knowledge
Tribal knowledge is the unwritten, informal expertise that exists only in the heads of experienced team members. It includes how things actually get done (vs. official processes), who to ask for what, and lessons learned from past failures that were never documented.
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