--- title: "What are some common mistakes made when setting up a knowledge management system?" url: "https://pegamento.nl/en/contact-center/what-are-some-common-mistakes-made-when-setting-up-a-knowledge-management-system/" lang: "en" type: "post" description: "Find out why knowledge management fails and how to avoid common mistakes when setting it up." last_modified: "2026-09-18T06:00:29+00:00" categories: [Contact Center] translations: nl: "https://pegamento.nl/contactcenter/wat-zijn-veelgemaakte-fouten-bij-het-opzetten-van-kennisbeheer/" --- # What are some common mistakes made when setting up a knowledge management system? The most common mistakes made when setting up knowledge management are: unclear ownership, a poor information structure, and the assumption that a knowledge base maintains itself. Organizations invest time in building a knowledge base but forget to determine who will keep the content up to date and how employees can quickly find the right information. In this article, we answer the most frequently asked questions about knowledge management mistakes and how to prevent them. ## Why does knowledge management so often fail in practice? Knowledge management fails in practice because organizations treat it as a one-time project rather than an ongoing process. Creating a knowledge base is relatively simple. Ensuring that the knowledge base remains usable, discoverable, and up-to-date is a whole different story. Without ongoing attention, the content quickly becomes outdated, and employees lose interest. The most common causes of failed knowledge management are: - **No clear accountability:** anyone can contribute, but no one is responsible for quality - **Insufficient buy-in:** the knowledge base is imposed without employees perceiving its added value - **Overly complex structure:** information is available, but virtually impossible to find - **No connection to day-to-day work:** employees would rather ask a colleague than search the system This is especially true in a contact center. During a call, agents don’t have time to sift through lengthy articles. If the [knowledge base for customer service teams](https://pegamento.nl/en/knowledge-base/) doesn’t provide the right answer right away, it simply won’t be used. ## What are the most dangerous assumptions to make when setting up a knowledge base? The most dangerous assumption when setting up a knowledge base is that employees will automatically start using it as long as the information is there. That doesn’t happen automatically. Usage requires the development of habits, an intuitive interface, and confidence in the accuracy of the content. Other dangerous assumptions when setting up knowledge management include: - **“More information is always better”:** a knowledge base that’s too extensive can be counterproductive. Employees get lost in unnecessary details. - **“Setting it up once is enough”:** products, processes, and rules are constantly changing. A knowledge base that isn’t maintained quickly becomes a source of incorrect information. - **“Everyone understands the structure”:** what seems logical to the author is by no means always so to the user. - **“The system handles searchability”:** without proper taxonomy, tags, and search functionality, employees still won’t be able to find anything. Knowledge management errors almost always stem from one of these assumptions. Be sure to evaluate them carefully before you start setting up the system. ## How does poor structure make information impossible to find? Poor structure makes information hard to find because employees don’t know where to look and the search function lacks sufficient guidance. Information that isn’t logically categorized, or that exists in multiple locations in different versions, leads to confusion and wasted time. Specific structural errors in knowledge management include: - Articles organized based on internal department names rather than on the questions customers ask - No consistent naming convention or tag structure, making search results unreliable - Duplicate or conflicting articles created by different employees - Articles that are too long and lack headings or summaries, making it difficult to find the answer quickly A good knowledge base is built from the user’s perspective. For each article, ask yourself: If an employee needs this information during a customer conversation, how would that person search for it? Use those search terms as the basis for titles and tags. ## Who should be responsible for knowledge management within an organization? Knowledge management needs one clear owner, preferably a knowledge manager or a designated team lead who is ultimately responsible for quality and timeliness. Shared ownership without a clear division of tasks leads, in practice, to no one taking responsibility. That doesn’t mean one person does everything. A workable approach is: - **Central knowledge manager:** oversees the structure, quality, and maintenance process - **Subject-matter experts per domain:** provide and verify content within their areas of expertise - **Employees as watchdogs:** report outdated or missing information via a simple feedback mechanism In a contact center, it’s a good idea to link the knowledge manager to the team leaders. Every day, they hear about the questions that employees can’t answer right away. Those are exactly the gaps that need to be filled. ## How do you keep a knowledge base up to date without adding to your workload? You can keep a knowledge base up to date without creating an additional workload by integrating maintenance into existing workflows rather than making it a separate task. Periodic review cycles for each article, automatic reminders for outdated content, and an accessible feedback system for employees are more effective than large-scale maintenance sprints. Practical knowledge management tips for staying up to date: - Set an expiration date for each article. After that date, the owner will automatically receive a reminder to review the content. - Integrate the knowledge base with your ticketing system or contact center platform. Frequently asked questions that aren’t covered in the knowledge base are clear indicators that new articles are needed. - Make it as easy as possible to provide feedback: a “This is no longer accurate” button is all it takes to encourage employees to contribute. - Limit the number of people who can publish articles. More control means less noise and fewer duplicate entries. Less is more: a small, reliable knowledge base works better than a large, unreliable one. ## When is knowledge management ready for use in customer interactions? Knowledge management is ready for use in customer service when employees can find the right answer to frequently asked questions within five seconds, the information is up-to-date and accurate, and the knowledge base is integrated into the contact center’s work environment. Perfection isn’t a prerequisite for getting started. A phased approach works best. Start with the 20 percent of questions that account for 80 percent of the contact volume. Make sure those articles are accurate and easy to find. Then expand step by step. Signs that the knowledge base isn’t ready yet: - Employees would rather ask a colleague than search the system - The search results often yield outdated or conflicting answers - There is no feedback mechanism and no one responsible for monitoring the content - The knowledge base is not accessible from the contact center’s phone or chat interface Integration with your [contact center technology](https://pegamento.nl/en/contact-center/) is a crucial step in this process. A knowledge base that agents have to open separately is used less often than one that is directly available in their work environment. ## How Does Pegamento Help Set Up Effective Knowledge Management? We understand that knowledge management errors in a contact center are immediately noticeable: longer call durations, inconsistent answers, and frustrated employees. That’s why we don’t offer standalone tools, but rather an integrated approach in which knowledge management is part of the overall solution. What we can do for your organization: - **Knowledge base integrated into the contact center platform:** agents can find answers without switching screens - **Smart search functionality:** powered by AI that highlights the most relevant articles based on the context of the conversation - **Agentic AI assistants:** an evolution from task-oriented bots to self-thinking assistants that take the initiative on their own, consult knowledge articles, and proactively support agents during customer interactions - **Everything under one roof:** from setup and implementation to management and ongoing development, without complex vendor structures - **Customized solutions using standard building blocks:** no costly custom development, but proven modules that we cleverly combine to fit your situation Would you like to know how your organization can effectively implement knowledge management and link it directly to customer interactions? [Contact us](https://pegamento.nl/en/contact-2/), and we’d be happy to help you find a solution. ## Frequently Asked Questions ### How long does it take, on average, to get a knowledge base up and running for a contact center? You can implement a basic setup suitable for daily customer interactions in four to six weeks, provided you follow a phased approach: start with the 20 percent of questions that account for the largest volume of inquiries. The full rollout, including feedback mechanisms and integration with your contact center platform, typically takes three to six months. Don’t wait for a ‘complete’ knowledge base before going live—a small, reliable foundation works better than a comprehensive but unreliable one. ### What’s the difference between a knowledge base and an FAQ page, and when should you choose one over the other? An FAQ page is a static list of frequently asked questions, intended for external visitors such as customers on your website. A knowledge base is a dynamic, searchable system with in-depth articles, procedures, and work instructions, primarily intended for internal users such as contact center agents. Opt for a knowledge base as soon as you’re managing more than twenty to thirty articles, multiple teams need access, or when content needs to be updated regularly. ### How do I convince employees to actually use the knowledge base instead of asking a coworker? The key is trust and convenience: employees will stop using it if the knowledge base provides slow or unreliable answers. First, make sure the most frequently used articles are demonstrably accurate and easy to find. Then, actively involve employees in building the knowledge base—those who contribute to an article feel a greater sense of ownership and are more likely to use the system. Support this with a brief onboarding process and publicly acknowledge the contributions of employees who provide feedback or improve articles. ### What KPIs do you use to measure whether your knowledge base is functioning well? The most valuable KPIs are: search success rate (how often do employees find what they’re looking for?), average resolution time per interaction (does it decrease after implementation?), and the percentage of questions not found in the knowledge base (a direct indicator of missing content). Additionally, you can track the number of feedback reports per month as a measure of engagement. Link these figures to your ticket system or contact center platform for automated reporting. ### What should you do if employees keep using outdated information in the knowledge base without realizing it? This is one of the most dangerous situations in knowledge management, because it leads to inconsistent customer information without anyone noticing. Prevent this by automatically archiving outdated articles or marking them with a visible warning as soon as the expiration date has passed. Add a “last checked on” date at the top of each article so employees can assess for themselves how up-to-date the information is. Combine this with a clear escalation process: who do you call if you have doubts about the accuracy of an article? ### Can AI fully automate knowledge management, or is human oversight still necessary? AI can significantly streamline knowledge management—think of smart search functionality, automatic suggestions for new articles based on interaction patterns, and AI assistants that contextually surface knowledge articles during a conversation. But human oversight remains indispensable for assessing factual accuracy, monitoring tone of voice, and deciding what does or does not belong in the knowledge base. AI is a powerful support tool, not a replacement for a knowledge manager. ### How do you handle sensitive or confidential information in a knowledge base used by multiple teams? Use role-based access rights to determine which employees can view which articles. Not every employee needs access to legal proceedings, escalation protocols, or internal pricing agreements. When setting up the knowledge base, make an explicit decision about which information is public within the organization and which is restricted by team or job level. Document this policy and include it in the onboarding process for new employees to ensure there is no confusion about what can be shared.