In the second article of this series, we explored the hidden cost of ticket escalations. Escalations increase resolution time, consume higher-cost resources and can negatively affect customer satisfaction. More important, they show a deeper problem: the frontline service desk does not have the information, tools or confidence needed to resolve an issue.
That brings us to the next step in optimizing service operations: Knowledge.
Although knowledge is one of the most important assets a service organization has; many organizations treat knowledge management as a documentation project rather than an operational capability. Articles are written, published and eventually forgotten. Over time, content becomes outdated and analysts stop trusting it.
A knowledge-driven service desk takes a different approach. Knowledge becomes part of how work gets done.
Knowledge Is More Than a Knowledge Base
Traditional knowledge management often focuses on creating articles. A knowledge-driven approach focuses on making knowledge useful at the point where work happens.
If an analyst has to leave a ticket, open another application, search through hundreds of articles and determine which information is still accurate, the knowledge base creates friction rather than removing it.
The Consortium for Service Innovation's Knowledge-Centered Service approach integrates knowledge creation, reuse and improvement directly into the process of resolving issues. The important point is not simply the reported benefits. It is the operating model behind them: knowledge is created, used and improved as part of the work.
Turn Every Ticket into a Learning Opportunity
One of the biggest opportunities for service desks is the knowledge already contained in resolved tickets.
Consider a common application or access issue. An analyst resolves it successfully but closes the ticket without capturing what they learned. The next analyst encounters the same issue and starts from scratch.
The organization has effectively paid twice for the same solution.
A knowledge-driven operation asks: What did we learn from resolving this issue that could help the next analyst or user?
This creates a simple cycle:
- Find existing knowledge
- Use it to resolve the issue
- Improve it when something is missing
- Create new knowledge when none exists
- Make the improved knowledge available to others
Every interaction becomes an opportunity to improve future performance.
Build Knowledge Around the Work
Not every issue needs an article. Start with areas that create the greatest operational impact. Use service desk data to identify:
- Frequently logged incidents
- Issues with high escalation rates
- Tickets with long resolution times
- Frequently reopened tickets
- Problems generating repeat contacts
If application access tickets frequently move to Tier 2, examine the knowledge available to Tier 1. Is the solution documented? Can analysts find it quickly? Is it accurate and complete?
If not, you have identified an improvement opportunity.
Make Knowledge Part of the Workflow
Knowledge works best when embedded into the service experience.
Analysts should encounter relevant knowledge while working on a ticket rather than having to remember to search for it. Users should also be able to find useful answers before submitting a ticket.
This can include integrated search, contextual recommendations, self-service, virtual assistants or links within analyst workflows.
The technology matters less than the experience. The objective is to put relevant and trusted information in front of the right person at the right time.
Measure Knowledge by Outcomes
A mature knowledge strategy should connect knowledge activity to operational outcomes. Consider tracking:
- Knowledge usage and search success
- Knowledge-assisted FCR
- Escalations associated with knowledge gaps
- Article feedback and review status
- Self-service success and case deflection
The goal is not another dashboard. The goal is determining whether knowledge improves service performance. If an article is frequently viewed, but users continue creating tickets for the same issue, the content may not be solving the problem.
What You Can Do This Quarter
Start small:
- Identify the top escalation categories
- Review related knowledge
- Remove or update outdated content
- Embed knowledge into workflows
- Measure impact on FCR and escalation rates
- Assign ownership and review dates
The objective is not the world's largest knowledge base. It is the most useful knowledge system for your service organization.
Looking Ahead
Knowledge can help analysts resolve more issues, reduce escalations and enable better self-service. The next opportunity is delivering the right knowledge and actions automatically when they are needed. I will explore this in my next article where automation and AI enter the picture.