What Actually Happens When Your Best Person Leaves?
The Loss-of-Expert Simulation models the knowledge impact of a specific person's departure — surfacing at-risk articles, capture priorities, backup reviewer assignments, and a structured retention plan.
Exit interviews capture about 5% of what the person actually knew.
Organizations rarely know the true knowledge impact of a departure until it happens. Goodbye emails aren't knowledge transfer plans. Exit interviews capture 5% of what the person actually knew. By the time you realize the gap, the person is already gone.
No structured knowledge risk assessment for departures
Most organizations have no systematic way to assess which specific knowledge becomes at-risk when a person leaves — until after the fact.
Capture priorities not identified until knowledge is already gone
Without a simulation, you don't know which articles to capture first. You discover the priority order through operational failures after the departure.
Backup reviewer assignments reactive, not proactive
If you haven't identified backup reviewers before a departure, you're scrambling to find someone who understands the domain well enough to review at-risk knowledge.
Five structured outputs from a single simulation run.
01
Risk Assessment
Which articles become at-risk if this person leaves, with article-level risk scores based on criticality and whether any other organization member has relevant knowledge.
02
Capture Priority List
Which articles to capture first, in order of criticality. Gives the departing expert a structured agenda for knowledge transfer sessions.
03
Backup Reviewer Assignments
Who in the organization can cover each at-risk article as a reviewer — based on role, existing ownership, and knowledge domain overlap.
04
Training Cards
For each at-risk article, a structured training recommendation for the designated backup reviewer — what to read, what to capture, and what to verify.
05
Estimated Timeline
How many weeks of structured knowledge transfer are needed to bring the at-risk articles to a safe coverage level based on article count and criticality.
Before the departure, not during it.
Proactively — quarterly for top 3 owners
Run simulations for your highest-concentration knowledge owners as a quarterly practice. Identify and address gaps while you still have time to act.
During offboarding
Generate a specific capture plan the moment a departure is announced. Use the priority list to structure knowledge transfer sessions during the notice period.
For succession planning
Model the knowledge impact of a reorganization or role change before it happens. Include simulation output in succession planning documentation.
For risk reporting
Include simulation output in board briefings, safety officer reports, or leadership reviews. The structured five-output format is designed for reporting contexts.
Questions about the Loss-of-Expert Simulation.
Is the simulation just about retirements?
No. It applies to any departure: retirement, resignation, layoff, extended leave, or role change. The knowledge risk is the same regardless of the reason.
How accurate is the AI's departure plan?
The plan is generated from your actual approved knowledge articles assigned to the owner. The quality depends on how completely the person's knowledge has been captured and approved.
Can I run it for multiple people?
Yes. Select any knowledge owner from the dropdown. You can run separate simulations for each at-risk person.
What if the person has no approved articles?
If an owner has no approved articles, the simulation finds no at-risk knowledge. This may indicate either that the person's knowledge is low-risk, or that their knowledge has not yet been captured — which is itself a risk signal.
Run your first departure simulation.
The Loss-of-Expert Simulation is available in the Insights section of DebriefCore. Book a demo to see it running on a live knowledge base.