Bart is the founder of GuruScan and has over 15 years of experience in knowledge management, database management and tech solutions. His specialty is creating technologies based on facts from science combined with consultancy practice in complex business environments. Bart is also a (guest) lecturer at various universities and gives international masterclasses for B2B clients on knowledge management topics.
RETIREMENT RISK ANALYSIS AND MITIGATION BASED ON A COMPREHENSIVE KNOWLEDGE ASSESSMENT
Of course people are aware of the ‘general’ risk of retirement, but often fail to make that risk specific. We made a knowledge inventory and were able to pinpoint the 2 critical knowledge domains and 3 critical (almost) retiring experts.
This talk describes a case-study where a team lead struggled to quantify the retirement risk analysis. He had roughly 25% of his team aged above 59 years old. He feared their upcoming retirement would put his team at risk, but he didn’t have the insight to share it with his management.
Together with the team lead and the entire team we took three steps:
Data-gathering
– Generate all relevant knowledge topics
– Connect those to relevant experts
– Add the knowledge levels for team members
Data engineering
– Cluster the topics to 9 general knowledge domains
– Add peoples age to the data
Analysis
– Identify critical experts (if they leave you lose the knowledge domain)
– Identify (best) backups both within the team and outside of the team.
Result
– Teamlead could immediately hire new employees to take over the critical knowledge domain
Additional benefit
– Easy onboarding because new team members could find knowledge themselves.