Why Your Agents Hate Your Knowledge Base (And How to Fix It)
One of the biggest problems I’ve faced as a knowledge manager in customer service contact centers falls under the umbrella of agent adoption. I’ve run projects where we replaced an old, clunky knowledge base—something built in SharePoint or OneNote (yikes)—with a brand-new system in Salesforce, complete with a much-improved search algorithm. And yet, even after the upgrade, I’d still hear the same complaint from agents:
“I can’t find anything.”
It’s a frustratingly common problem. Even if you have a good system, the KB often becomes a source of irritation rather than a tool for success. This isn’t just about one thing; it’s a failure on multiple fronts.
First, there’s the search itself. Even with powerful algorithms and suggested content, older keyword-based search is flawed. We used to spend so much effort maintaining lists of keywords for each article, but agents would still get a dozen results with the same tags. They’d have to click into each one, read a bit, and back out, all while a customer is waiting on the line. That wasted time is a direct hit to your metrics.
Second, the information itself isn’t reliable. Agents search and find multiple articles on the same topic with slightly different, contradictory takes. They use one, get burned in a QA evaluation or anger a customer, and immediately lose trust in the entire system. Content health is crucial; if agents can’t rely on what they find, the tool is useless.
Finally, the design and structure of the content is often a major pain point. Agents aren’t knowledge managers; they’re problem-solvers under immense pressure. They need information structured logically and intuitively.
I remember working at one company where we had a very detailed policy for handling certain issues. The subject matter experts were adamant that it needed to be one big document with everything included. I really had to fight the battle to break it up into digestible chunks. When we finally did, the adoption and user ratings for that content went way up. It became understandable.
These failures have real consequences. They create longer handle times, lead to inconsistent answers across channels, and erode customer confidence. Most importantly, they burn out your agents. When agents feel uncertain and get beat up every day because their tools are failing them, they’re not going to stick around. All the money you invested in training and retaining them is wasted.
So, how do we fix it?
Improving discoverability is paramount. Modern, AI-powered search helps a lot because it can better predict the agent’s intent. An agent co-pilot that listens to the conversation and suggests the right content in the moment is a game-changer.
But the most overlooked solution is to engage your agents in knowledge creation. They can’t just be consumers of knowledge. Methodologies like Knowledge-Centered Service (KCS), which the Consortium for Service Innovation has been developing for nearly 30 years, are built on this idea. In KCS, knowledge is created as a by-product of solving problems. Agents are actively involved in creating new articles and flagging what’s outdated or conflicting.
To make this work, you need to build great feedback mechanisms and incentivize their use. Maybe you create a program that rewards agents whose feedback results in a change to an article. Give them the tools to create and share knowledge when they come across something new. New AI tools can even help, taking case notes and conversations and drafting an article for an agent to validate.
The knowledge they’re sharing and updating must be structured correctly. This isn't just about making it look neat; it's about making it usable. Think like an agent and organize information in the natural order of a call: greeting, authentication, troubleshooting steps, and so on.
Use formatting that makes information scannable—bullet points, highlighted scripting, and clear headings instead of long, dense blocks of text. You also need different article formats for different needs. A brand-new employee needs a verbose, step-by-step guide, while a veteran agent just needs a bare-bones refresher. (Exposing content based on roles is a powerful way to help improve discoverability, too.)
These days, you also have to structure content for AI. This means using standardized templates, like the "Problem-Solution" format, and clearly labeling sections so that bots can digest the information correctly. A good practice is to include a detailed procedure for the main body of the article but also add a list of FAQs at the bottom. This gives both agents and AI the best of both worlds: a comprehensive guide and quick, specific answers.
The bad news? This sounds like a lot of work.
It is.
The good news: AI tools can help with all of it. It’s not here to replace your agents, it’s here to help them–and by extension, your customer service team–work smarter and faster. By engaging your users in the conversation, you amplify acceptance and adoption.
Ultimately, this is about more than just technology. It’s an organizational transformation. The Boston Consulting Group calls it the 10/20/70 rule: 10 percent of thought toward the algorithm, 30 percent toward technology and 70 percent on organizational transformation.
Starting with a holistic approach and focusing on the human element is the key.
KM for Contact Centers
Customer service contact centers face a unique set of knowledge management challenges, truly distinct from other parts of a business. Tackling these head-on isn't just a good idea; it's vital for keeping things running smoothly, making your agents shine, and, most importantly, keeping your customers happy.
The Onboarding Hustle and High Agent Turnover
One big headache in contact centers? High agent turnover. Often, it boils down to agents feeling unsupported or just plain unqualified to handle customer questions. This problem is deeply connected to agent onboarding, a process that can be a real marathon for your Learning and Development (L&D) teams. We're talking weeks of classroom training, online modules, videos, nesting programs, and mentoring – basically a "firehose of information" that new agents are expected to memorize. The big goal? Get agents proficient fast so they can solve problems without constantly escalating, bugging Subject Matter Experts (SMEs), or just giving up because they can't find the answers.
But here’s the rub: if all that crucial knowledge is stashed away almost exclusively within the L&D domain, or in docs that live on a shared drive, it becomes incredibly tough for agents to get their hands on it when they’re actually on a call. This directly hits their "speed to answer" a customer's problem, leading to longer handle times and potentially frustrating customers who experience delays in getting their issues resolved. Think of it: they're not taking calls or chats while they're learning. It's all about moving from "just in case" knowledge (like training for something that might come up months from now) to "just-in-time" knowledge – giving agents what they need, when they need it, right there in the moment.
Tackling Complex & Evolving Information
Contact centers are often drowning in complex product information. We're talking technical details, intricate policies, and tricky troubleshooting steps. This inherent complexity makes it a real challenge for agents, especially the new folks, to give quick and accurate answers. Take one solar panel installation company I worked with: they had some seriously robust and complex policies around roof leaks. Agents needed to grasp how to spot a leak, when to offer to pay for technician visits, and the different remedies – from fixing a single mount to replacing an entire roof and reinstalling panels. To navigate that maze, clearly outlined policies and step-by-step workflows were absolutely crucial for agents to make the right calls.
And it's not just static complexity; customer issues are constantly evolving. As products get new features or fresh bugs pop up, the knowledge needed to troubleshoot effectively becomes a moving target. This is where smart Knowledge Management (KM) can really shine! Why? Because your frontline agents are often the first to identify new issues and discover solutions as they troubleshoot. Capturing these insights, which is often tacit knowledge or tribal knowledge – the collective wisdom in people's heads – and turning it into explicit knowledge is absolutely critical.
The Perils of Suboptimal Knowledge Storage
Let's be honest, many contact centers don’t have a formal Knowledge Management System (KMS). Instead, all that valuable knowledge often lives within the heads of subject matter experts (your go-to gurus) or it's dumped into general content management systems like SharePoint or Google Docs. And a truly suboptimal approach, one you see far too often, involves documents being stuck in PDF format, which is just plain inefficient for knowledge workers (your agents!) who need to find answers super quickly. It's like trying to find a needle in a haystack when you're on the clock.
The core challenge? Quick information retrieval is paramount. Whether an agent is hunting for an answer or a customer is browsing an external help center, the solution needs to appear instantly. The painful process of digging through a content management system, then finding a PDF, and then searching inside that PDF for the right answer, can eat up a ridiculous amount of time. This often leads to a swivel chair experience, where agents are constantly flipping between disconnected systems, making their workflow slow and prone to errors. This inefficiency alone can increase the cost of doing business by millions of dollars per year.
In many organizations, knowledge management is just an afterthought, especially because customer support is seen as a cost center. This can lead to a digital landfill of unmanaged and uncategorized documents that users simply avoid because finding anything of value is such a headache. For example, one company I worked with tried to use Microsoft OneNote as a knowledge base, despite it not being designed for that purpose. This resulted in 700 articles being imported into Salesforce Knowledge, and it took about a year to break the habit of agents using the old OneNote notebooks. This illustrates how ingrained suboptimal practices can become.
The data further emphasizes this problem: a survey indicates that 70 percent of companies aren’t using purpose-built knowledge management systems. This is significant, especially when you consider that only 32 percent of companies using non-purpose-built KMS are satisfied with what they have, compared to 75 percent satisfaction for those using a purpose-built system. The implication? There’s a massive opportunity to improve both customer and agent knowledge experiences.
The Real Cost: Time, Money, and Upset Customers
In the contact center world, the old saying time is money couldn't be truer. The longer an agent spends on a call, the higher the cost of resolving that customer's problem. When agents can't quickly access the knowledge they need, forcing them to dig through old training decks or videos, it directly leads to longer handle times. That extended wait time can really tick off customers, leaving them frustrated and unhappy. So, it's not just about having content, it's about making sure it's easily digestible and findable, and organized in a way that allows agents to quickly determine the most directly relevant policy or solution. Remember, "garbage in, garbage out" – if your knowledge isn't top-notch, it'll mess up everything, even your shiny new AI tools.
The AI Challenge: Built on a Shaky Foundation?
Virtually every company is looking at how AI can help their business. But for customer service, AI's success hinges on good knowledge. Many customers aren't thrilled with AI systems, often because they don’t find them helpful. A Five9 survey reveals that 75 percent of customers still want to speak to a human being. While a PwC study found that 71% of consumers prefer human interaction, they are open to AI if it genuinely improves their experience.
The reality for AI projects can be grim: Gartner's 2023 report highlights that only 53% of AI projects make it from prototype to production, and even two years later this remains a challenge for many companies.
A big reason for this failure? Bad knowledge. While almost 80 percent of customers expect to encounter self-service options like AI chatbots, only about 30 percent of customers expect to be able to solve their problems using those tools. If a chatbot relies on an outdated or incomplete knowledge base, it will deliver wrong or incomplete answers, pushing customers to human agents who then still need a reliable KB. The bottom line: having a solid, quality KB is step one to building AI systems that actually work for customers and agents.
Leveraging Knowledge Management for Solutions
To overcome these unique and costly challenges, you need Knowledge Management expertise from someone who is well versed in the unique challenges faced by customer service contact centers. Such experts understand the specific roadblocks to improvement and can guide organizations in leveraging different Knowledge Management systems to effectively address these issues.
Even a basic KM strategy can reduce the time employees spend looking for information by as much as 35 percent, which directly impacts operational costs. For instance, a 10 percent reduction in Average Handle Time (AHT) for a company I worked with led to a savings of over $264,000 annually.
The right MVP KB helps your agents get up to speed faster, makes customers happier, and provides the solid foundation needed for future success, including effective AI tools.
Don't let your contact center be plagued by knowledge challenges any longer. Cognita Knowledge Management has over 20 years of experience in customer service, with a deep understanding of these specific issues and the proven paths to improvement. Get in touch with us today to discuss how we can help you build an MVP KB that transforms your customer service operation into a powerhouse of efficiency, agent proficiency, and customer satisfaction.
Bridging the Gap: Why Knowledge Retention is Essential for Organizational Success
After a recent show with my band, I was talking to a band member’s wife who will soon be eligible to retire and claim a pension (a rare thing in this day and age). She has worn many hats in her organization, and lately she has been working to document the knowledge she has accumulated over the years. But it’s been slow going, mostly because there’s been no formal program to plan for succession; she’s doing what she can, but knows that so much of what she has learned will walk out the door with her.
In today's fast-paced, competitive business landscape, knowledge is power. But what happens when that power walks out the door? The departure of experienced employees, whether through retirement, career advancement, or changing circumstances, can create a significant knowledge gap, impacting productivity, innovation, and overall organizational success. This is why knowledge retention is critically important.
The Silent Drain: How Knowledge Loss Impacts Organizations
When experienced employees leave, they take critical things with them:
Tacit Knowledge: This is the "know-how" you can’t easily write down – the nuances, problem-solving approaches, and internal relationships. It’s the kind of knowledge that can't be found in manuals.4
Institutional Memory: The collective understanding of your company’s history, processes, and culture.5 Losing this can lead to repeated mistakes, wasted resources, and a decline in efficiency.6
Project-Specific Expertise: Insights gained from past projects, including lessons learned and best practices.
The consequences of this loss can be huge. A study by the Society for Human Resource Management (SHRM) found that the cost of replacing an employee can range from one-half to two times the employee's annual salary. This cost includes recruiting, onboarding, and training, but it doesn't fully account for the lost productivity and expertise. According to a report by Panopto, employees spend 5.3 hours per week searching for information. When critical knowledge walks out the door, searching gets even harder.
Building a Knowledge Fortress: Strategies for Effective Retention
So how do you keep knowledge from walking out the door? Here are a few MVP strategies:
Formal knowledge transfer programs
Mentorship programs: Pair newer folks up with more experienced employees.
Documentation: Created detailed documentation of processes, procedures, and best practices – starting now, not just as someone is about to leave.
Knowledge management systems (KMS): Use systems to make it easier for employees to capture, share and access knowledge.
Leverage Technology:
Video recording: Capture presentations, training sessions, and expert demonstrations.
Communities of practice: Implement collaborative platforms facilitate knowledge sharing.
AI tools: Use AI-powered tools to analyze data and identify key knowledge areas.
Create a Culture of Knowledge Sharing:
Open Communication: Encourage employees to talk and collaborate.
Recognition: Reward employees for sharing what they know.
Learning Environment: Make it okay to ask questions and seek help.
Knowledge-Focused Exit Interviews: Focus on capturing knowledge, not just reasons for leaving
Succession Planning:
Identify Key Positions: Plan for smooth transitions when people leave.
Cross-Training: Broaden employee skills.
Document Tacit Knowledge: Identify employees with key tacit knowledge and transfer it to others.
Data-Driven Approach:
Track Metrics: Measure time spent searching for information, onboarding time, and project completion times.
Use Analytics: Identify knowledge gaps and areas for improvement.
The Long-Term Investment
Knowledge retention isn’t a one-time effort. It’s an ongoing process that requires commitment and investment. By making it a priority, you can:
Reduce the impact of employee turnover.
Improve productivity and efficiency.
Foster innovation and creativity.
Enhance organizational resilience.
Preserve your company's culture and legacy.
Knowledge retention is a must for any organization that wants to succeed in today's world. Take action to capture, share, and preserve knowledge, and you'll build a sustainable and profitable future for organization.
Choosing The Right Knowledge Management System: A Guide
By Martin Hobratschk
CEO, Cognita Knowledge Management
Choosing the right knowledge management system (KMS) for your contact center requires a lot of effort before you publish your first KB article.
Not all systems are the same, and there are a number of factors that you need to take into account to ensure you’re choosing the right platform. But you don’t need to do it alone, and you don’t need to spend buckets of money to identify the right platform – and I’m here to help.
Understanding core functionality and features is the first stop on the journey. Can it handle diverse content types like text articles, FAQs, videos, images, and interactive guides? How robust is the search function? Does it offer keyword search, natural language processing (NLP), and filtering? Is it easy for your team to create, update, and organize content? Consider version control, approval workflows, and content tagging.
If you’re looking at KMS that’s separate from other contact center tools like your CRM or CCaaS implementation, will your new knowledge base integrate seamlessly? Your new KMS will need to be easy to access and offer some level of personalization based on the context of interactions.
Is the system easy to navigate and understand for all users, regardless of technical skill? You will probably want training and ongoing support from the vendor – what does that look like? And how easy is it for agents to provide feedback on the knowledge base content and suggest improvements?
A KMS needs to scale with your business and handle increasing volumes of content and users. You should be able to easily customize it to fit your needs and branding. And it needs to support knowledge delivery across different channels, both internal and external.
Analytics and reporting are key to the long term success of your KMS. Can you track key metrics like search frequency, article usage, and agent performance? Can you identify knowledge gaps and areas where content needs improvement? All of this needs to be visible through customizable reports and dashboards so you can easily gain insights
Data security is important. How secure is the knowledge base and does it meet your data privacy and security standards? You will need to provide access to different parts of the knowledge base in a scalable manner. In some cases, you’ll need understand how the KB meets standards like GDPR and HIPPA
Finally, you will want to choose a vendor with a proven track record in the contact center industry. Evaluate their vendor's process and ongoing support services, and make sure their pricing model and contract terms are transparent and understandable.
If all this sounds like a lot … it is.
I’m here to help. As a part of the Cloud Tech Gurus (CT) network, I offer KMS vendor evaluations at no cost.
CTG has invested more than 3,000 hours in evaluating contact center solution vendors, including some of the top names in knowledge management systems. CTG partners with leading Magic Quadrant vendors and many others you might not find otherwise who offer a wide range of contact center solutions.
Why invest hours of your valuable time in vendor evaluations when CTG has already done the groundwork?
As a part of the CTG network, I offer two options that will make your life easier:
Share your project requirements with me. I’ll handle all the research and vendor vetting and then present the best matches based on your criteria. This will save you 20 to 30 hours on your next project — at no cost to you.
A white-glove service, where I manage your entire sourcing project from RFP creation to vendor comparison and demo hosting. I act as your unbiased advisor, ensuring you secure the best provider for your needs — again, at no cost.
Remember, CTG has a wide catalog of vendors to choose from, so even if you’re not in the market for a new KM system, CTG can help you with other contact center needs.
Want to learn more or discuss your upcoming projects? Get in touch, or schedule a no-obligation consultation with me.