Free whitepaper

When the experts leave - how labs preserve knowledge and onboard new employees faster

Knowledge loss due to staff turnover, retirement, or role changes is one of the biggest, yet often underestimated, risks in the lab. The whitepaper offers practical insight into how fragile dependencies on individual employees develop - and how they can be systematically reduced. Using concrete examples from medical and industrial labs, it highlights typical problem areas: long onboarding times, unnecessary service visits, quality risks, and unstable processes for complex methods (e.g., LC-MS, FAME analysis). The whitepaper covers: what types of knowledge need to be preserved in the lab (SOPs vs. hands-on experience), how knowledge management, equipment management, and logbooks work together effectively, and what structured onboarding and training concepts can look like, along with the necessary steps

Support & Development in German and English
13
Pages
Whitepaper
When the experts leave - how labs preserve knowledge and onboard new employees faster
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5 Chapter · PDF
Content

9 Clearly structured chapters

1
Why lab knowledge often gets lost
Shows how heavily labs depend on individual knowledge holders and what consequences result from failing to preserve that knowledge.
1
What actually is lab knowledge?
Distinguishes documented knowledge like SOPs from practical hands-on experience, and explains why the two need to be brought together.
1
Knowledge structure: the foundation
Organizes lab knowledge into equipment, methods, regulatory, organizational, and project-related knowledge.
1
Building knowledge: systematically integrating new knowledge
Explains how knowledge can be captured directly in everyday work, during onboarding, and after special events.
1
Knowledge transfer: from person to person
Describes mentoring, tandem work, and structured handovers as key ways to pass on hands-on experience.
1
Knowledge retention: thinking long-term
Shows how knowledge stays usable long-term through clear responsibilities, regular updates, and version control.
1
Employees and organization: knowledge as a team effort
Makes clear that knowledge management is above all a leadership and culture challenge.
1
Digital tools as enablers
Explains how digital systems make knowledge findable, connected, up to date, and traceable.
1
Conclusion: knowledge isn't a resource that's simply there
Summarizes that knowledge must be continuously built, shared, and maintained for it to remain available to the lab in the long term.

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