Most organizations do not have a knowledge shortage. They have folders. They have portals. They have shared drives, intranets, repositories, team sites, email attachments, chat threads, and at least one document called “FINAL_final_v3_USE_THIS_ONE.”
What they often do not have is knowledge that works like a product. A useful product is designed for a specific audience. It solves a real problem. It is easy to find and use. Someone owns it. Feedback improves it. And when it stops meeting people’s needs, someone does something about it.
Organizational knowledge deserves the same treatment. Information is not valuable simply because it exists. It becomes valuable when people can find it, trust it, understand it, and use it to make a decision or complete a task.
Many organizations still treat knowledge as an accumulation project: More procedures? Better. More articles? Better. More folders? Surely better.
But anyone who has opened a shared drive containing 14 versions of the same process knows that more information does not automatically create more clarity. Sometimes it creates a small administrative escape room.
The real question is not, “Do we have documentation about this?”
It is:
A 2025 Atlassian study found that 56% of workers often have to ask someone or schedule a meeting to get the information they need. That is a knowledge-design problem, not a sign that people are unwilling to look for answers.
Product thinking shifts the focus from producing content to creating an experience that helps people succeed.
A product team does not begin by saying, “Let’s build a dashboard because dashboards are nice.”
It begins with a problem: What does the user need to do? Where are they getting stuck? What would make the task easier?
Knowledge should begin the same way.
Consider a new manager preparing for a difficult employee conversation. They do not need to browse a beautifully organized library of every leadership resource the organization has ever created. They need a reliable guide, framework, or checklist that helps them prepare for this conversation.
An experienced technician troubleshooting a recurring issue does not need a 90-page manual if a searchable decision tree can help identify the likely cause in two minutes. A customer trying to set up a new product does not need an enthusiastic welcome message followed by 37 links. They need to know where to start. When organizations design knowledge around real user needs, they make better choices about format, detail, structure, and location.
Sometimes the right answer is a detailed procedure. Sometimes it is a short video, a job aid, a troubleshooting article, a decision tree, or a simple explanation of who to contact.
The point is not to make every piece of information short. It is to make every piece of information useful.
If employees cannot find information, they may as well not have it. That does not mean every organization needs a more expensive search tool. It means the information behind the search tool needs to be organized well enough to return useful results.
“Process Overview” may be technically accurate. But “How to Request a Customer Pricing Exception” is much more likely to help someone who is staring at a customer email and trying not to panic.
Good findability also prevents teams from doing work twice. In Atlassian’s 2024 State of Teams research, 50% of knowledge workers said they had worked on a project only to learn later that another team was working on the same thing.
A knowledge product should help people feel more certain, not make them wonder whether they have found the right thing.
People will not use knowledge they do not trust. They may have been burned before by an outdated procedure, a broken link, a policy that contradicts what their manager told them, or an answer that applies only to a system version retired two years ago.
Once that happens, employees often return to the most reliable source they know: another person. “Ask Dave” may work for a while, but it is not a scalable knowledge strategy.
Trust grows when information has clear ownership, visible review dates, consistent language, and a process for updating it when work changes. It also grows when employees can see that feedback leads to improvement. This matters even more as AI becomes part of everyday work. Microsoft and LinkedIn reported in 2024 that 75% of knowledge workers were already using AI at work. AI can help surface and summarize information, but it cannot make outdated, conflicting, or poorly organized content trustworthy.
If the same confusing instruction keeps generating questions, that is not a failure by employees. It is useful product feedback.
No one would launch a customer-facing product and then say, “Well, hopefully it keeps working forever.” Yet organizations often publish important content with no identified owner, no review schedule, and no agreement about who should update it when a policy, process, or system changes.
That is how useful information slowly becomes organizational wallpaper.
A knowledge owner does not have to write every update personally. But someone should be responsible for making sure the content remains accurate, usable, and connected to the work it supports.
Ownership should include:
This is not glamorous work. Neither is changing the batteries in a smoke detector. Both matter much more than people tend to realize.
Useful products improve over time. Knowledge should, too. Employees will tell you where information is failing—sometimes directly, sometimes by ignoring it completely and inventing a workaround.
Pay attention to repeated questions, unsuccessful searches, support requests, error patterns, and the informal documents people create for themselves. These are all clues that the official knowledge experience is not meeting a real need.
A simple feedback option at the end of an article can help. So can regular review conversations with frontline employees, support teams, managers, and subject-matter experts.
The goal is not to chase every preference. It is to identify patterns and make information easier to use where it matters most.
That may be the least satisfying sentence in this article, but it is true. Work changes. Systems change. Roles change. Customers ask new questions. Regulations shift. Employees discover better ways to get something done. Knowledge that remains static while everything around it changes will eventually become less useful, even if it was excellent when it was published.
Treating knowledge as a product does not mean turning every procedure into a major technology initiative. It means applying a simple principle: design information for the people who need it, maintain it with intention, and keep improving it based on how work actually happens.
Your organization’s knowledge should do more than occupy a folder. It should help people get where they need to go.
Related Blogs
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What Happens When Knowledge Isn’t Documented? Lessons from Aviation for Knowledge Management
Your Processes Are Too Complicated (And Your Employees Know It)
References
“Find stuff fast: How to end the endless hunt for information.” Atlassian. 2025. Accessed 9/9/26. https://www.atlassian.com/blog/innovation/information-management
“State of Teams 2024.” Atlassian. 2025. Accessed 9/9/26. https://www.atlassian.com/blog/state-of-teams-2024
“2024 Work Trend Index: AI at Work Is Here. Now Comes the Hard Part.” Microsoft. 2024. Accessed 9/9/26. https://www.microsoft.com/en-us/worklab/work-trend-index/ai-at-work-is-here-now-comes-the-hard-part