Knowledge Centered Service (KCS)

What is Knowledge Centered Service (KCS)?

KCS is a methodology where customer problems are solved while simultaneously recording the resolution process in the knowledge base. Traditionally, problem solving and knowledge creation were separate tasks, but KCS integrates them, creating a self-learning system where the knowledge base automatically grows and improves with each interaction.

In a nutshell: A practice of documenting support responses in manuals on the spot to prevent the same question from being asked repeatedly.

Key points:

• What it does: Create and update knowledge simultaneously with support response
• Why it matters: Next inquiries can be handled quickly; organizational knowledge automatically accumulates
• Who uses it: Customer support, technical support, helpdesks

How it works

KCS operates through two loops: “Solve” and “Evolve.” In the Solve loop, when an agent resolves a customer problem, they search the existing knowledge base, apply applicable articles if found, or create new ones if not. The article is reviewed and approved by other agents before publication. In the Evolve loop, they periodically check how much the article is used and gather user feedback to identify sections needing improvement and make corrections.

This repetition evolves the knowledge base into truly usable material based on real operations.

Real-world use cases

IT helpdesk When inquiries come about software errors, resolution methods are recorded as procedures. When the same error is reported again, the procedure can be immediately referenced.

Product support As customer questions about features are answered, those explanations accumulate as FAQs. When similar questions come later, that customer can also self-resolve with the same information.

Healthcare system support Recording clinical system troubleshooting allows other staff members facing the same problems to resolve them through the knowledge base, preventing delays in patient care.

Benefits and considerations

The greatest benefit of KCS is that support operations automatically generate knowledge, eliminating the need for dedicated writers. Initial response time shortens and customer satisfaction improves. However, not all agents can create high-quality knowledge, making peer review and editing processes essential. Additionally, if too much time is spent on knowledge creation per interaction, each response takes too long, making balance critical.

Related terms

• Knowledge Base Software — Platform for storing and managing knowledge created in KCS
• Knowledge Capture — Process practiced in KCS’s “Solve” phase
• Knowledge Maintenance — Ongoing improvement work needed in KCS’s “Evolve” phase
• Knowledge Hoarding — Opposite of KCS; behavioral pattern impeding knowledge sharing
• Knowledge Feedback Loop — Mechanism supporting KCS’s “Evolve” loop