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Key Takeaways

  • Knowledge is classified into three types by how easily it can be shared: tacit (experiential, cannot be articulated), implicit (exists but has not been documented), and explicit (documented and accessible).
  • Tacit knowledge transfers only through mentorship, shadowing, and direct observation. It cannot be fully documented and is permanently lost when the person holding it leaves.
  • Implicit knowledge can be documented, but has not been. It is captured through interviews, process documentation, and knowledge audits and requires a centralized repository to remain accessible once surfaced.
  • Explicit knowledge is the most transferable but requires active maintenance. It goes stale as processes change, degrades in findability as volume grows, and needs assigned ownership and scheduled reviews to remain accurate.

 

Introduction

There are different ways in which knowledge is classified. For instance, knowledge can be classified by the way it is learned or by the way that it is defined. This gives rise to classifications like procedural knowledge and propositional knowledge.

However, an easier and more practical way to sort knowledge into types is by organizing it according to how easily it can be shared and disseminated. Those types include implicit, explicit, and tacit knowledge.

Now, let’s take a deeper look into all of these types 

 

Tacit Knowledge

Tacit knowledge is the kind of knowledge that exists in practice rather than on paper. It is what people know how to do without necessarily being able to explain how they do it.

What Is Tacit Knowledge?

Tacit knowledge refers to skills, instincts, and know-how that a person carries through experience rather than through formal instruction.

It is not written down anywhere because, in most cases, it cannot be. A surgeon's feel for tissue tension, a negotiator's read of a room, a craftsman's sense of when something is off. None of that fits neatly into a manual but for the person’s work, it is essential.

The term was introduced by philosopher Michael Polanyi in 1958, who summed it up with the observation that people know more than they can tell.

Instances of Tacit Knowledge

Tacit knowledge shows up wherever skill and experience meet. Some examples:

  • A chef adjusting seasoning by taste rather than measurement
  • A designer's sense of when a layout works visually
  • An experienced teacher reading a classroom and shifting approach mid-lesson
  • A mechanic diagnosing an engine problem by sound
  • A salesperson knowing when to push and when to pull back in a conversation

What these have in common is that the knowledge lives in the doing. Watching someone else do it helps. Reading about it helps less.

Benefits and Importance of Tacit Knowledge

Tacit knowledge is often what separates competent performance from genuinely good performance. It is the layer of expertise that formal training does not fully cover.

For organizations, it represents significant competitive value. When an experienced employee makes a difficult call correctly, often faster than a process could dictate, that is tacit knowledge at work. It is also part of what makes certain teams and individuals difficult to replace.

From a broader standpoint, tacit knowledge is how fields actually advance at the practitioner level. A lot of what works in medicine, engineering, and skilled trades gets passed down through demonstration and mentorship rather than textbooks.

Challenges of Tacit Knowledge

The core problem with tacit knowledge is that it is difficult to transfer. You cannot document what cannot be articulated, and that creates real risk for organizations when experienced people leave.

Other challenges include:

  • Knowledge loss at departure. When someone with deep tacit knowledge leaves a role, a significant portion of what they knew leaves with them.
  • Slow transfer. Passing tacit knowledge on requires time, proximity, and the right conditions. It does not scale easily.
  • Inconsistency. Because it lives in individuals rather than systems, tacit knowledge can vary significantly from one person to the next even within the same role.
  • Hard to assess. Organizations often do not know how much tacit knowledge they are sitting on until it is gone.

How Tacit Knowledge Can Be Acquired and Shared

Acquisition is almost always experiential. You develop tacit knowledge by doing the work, making mistakes, and refining over time. Mentorship accelerates this significantly, since working alongside someone experienced compresses what would otherwise take years.

Sharing it is harder, but not impossible. The main approaches:

  • Apprenticeship and shadowing. Direct exposure to someone who holds the knowledge is the most reliable transfer method.
  • Communities of practice. Groups of practitioners who meet regularly to discuss real work problems that surface and share tacit knowledge organically.
  • Storytelling and case studies. When explicit documentation falls short, narrating real situations and decisions can capture at least some of what pure instruction misses.
  • Structured reflection. Asking experienced practitioners to walk through their reasoning on past decisions, rather than just their conclusions, draws out knowledge they would not think to document unprompted.

None of these fully replaces the experience itself, but they close the gap meaningfully.

 

Implicit Knowledge

Implicit knowledge sits between tacit and explicit. It is knowledge that exists and can be articulated, but has not been written down yet. The information is transferable. It just has not been transferred.

What Is Implicit Knowledge?

Implicit knowledge refers to knowledge that is embedded in practice, process, or habit, but is not formally documented. Unlike tacit knowledge, it can be made explicit if someone takes the time to capture it. Unlike explicit knowledge, it has not been.

 

A useful way to think about it: if tacit knowledge is what you know but cannot explain, implicit knowledge is what you know and could explain, but simply never have.

This distinction matters practically. Implicit knowledge represents a gap that organizations can actually close. The information exists. It just needs to be surfaced and recorded.

Instances of Implicit Knowledge

Implicit knowledge tends to accumulate quietly in organizations. Some common examples:

  • A support agent who has resolved the same issue dozens of times and knows exactly what works, but has never written it up
  • A team that has developed an informal process for handling a recurring situation that new hires have to learn by asking around
  • A project manager who knows from experience which stakeholders need to be looped in early, without that ever being part of official guidance
  • An employee who knows the fastest way to navigate an internal system because they figured it out over time

In each case, the knowledge exists and is usable. It is just not accessible to anyone outside the person or group that holds it.

Benefits and Importance of Implicit Knowledge

Implicit knowledge often represents the practical, ground-level understanding of how work actually gets done, as opposed to how it is supposed to get done on paper. That gap between documented process and real-world practice is where a lot of organizational efficiency lives.

Capturing implicit knowledge has compounding benefits. When one person's hard-won understanding gets documented, it becomes available to everyone. New employees stop having to reinvent the wheel. Teams stop relying on institutional memory that walks out the door when someone leaves.

This is exactly where a knowledge base earns its value. A well-maintained knowledge base gives organizations a place to convert implicit knowledge into something permanent and searchable. What one person figured out through experience becomes a resource the whole organization can draw on.

Challenges of Implicit Knowledge

The central challenge is that implicit knowledge is invisible until someone looks for it. Organizations often do not realize how much of their operational knowledge is undocumented until a process breaks down or a key person leaves.

Other challenges include:

  • No natural capture point. Because implicit knowledge lives in habit and routine, there is no obvious moment where it gets written down. It has to be actively sought out.
  • People do not know what they know. Practitioners often do not recognize their own implicit knowledge as knowledge worth documenting. It feels like common sense to them.
  • It drifts over time. Undocumented practices change without anyone tracking the change, which means the implicit knowledge held by different people can diverge and contradict.
  • It is unevenly distributed. Some people on a team may hold implicit knowledge that others on the same team do not, creating inconsistency in how work gets done.

How Implicit Knowledge Can Be Acquired and Shared

Because implicit knowledge can be articulated, the acquisition side is relatively straightforward: exposure, observation, and asking the right people the right questions.

Sharing it, however, requires deliberate effort to convert it into a form others can access. The most effective approaches:

  • Knowledge capture interviews. Sitting down with experienced practitioners and asking them to walk through how they handle specific situations draws out implicit knowledge they would not think to document on their own.
  • Process documentation. Formalizing the informal processes that teams have developed over time turns implicit knowledge into explicit knowledge that can be stored, searched, and updated.
  • A centralized knowledge base. Having a dedicated place to record and organize this knowledge is what makes the capture effort worthwhile. Without somewhere for it to live, documented implicit knowledge tends to scatter across inboxes, chat threads, and shared drives where it is nearly as hard to find as it was before.
  • Peer review and knowledge audits. Periodically reviewing what is and is not documented helps organizations identify where implicit knowledge is still sitting undocumented and prioritize closing those gaps. 

 

Explicit Knowledge

Explicit knowledge is the most straightforward of the three types. It is knowledge that has been documented, formatted, and made accessible to others.

What Is Explicit Knowledge?

Explicit knowledge is knowledge that has been captured in a tangible form. Manuals, reports, databases, policies, research papers, training materials — anything that encodes information in a way that can be stored, retrieved, and shared without direct contact with the person who originally held it.

It is the most transferable form of knowledge by a significant margin. Because it exists outside of any individual's head, it does not depend on that individual being present, available, or still employed.

Instances of Explicit Knowledge

Explicit knowledge is the most familiar type because it is the most visible. Examples include:

  • A company's employee handbook
  • A troubleshooting guide for a software product
  • A research paper documenting experimental findings
  • Standard operating procedures for a manufacturing process
  • A knowledge base article walking through how to handle a specific customer scenario
  • Financial reports and data sets

The common thread is that all of it exists in a format someone else can read and use independently.

Benefits and Importance of Explicit Knowledge

Explicit knowledge is what makes organizational knowledge scalable. One person figures something out, documents it, and from that point forward, anyone in the organization can access it without having to track down the original source.

The practical benefits are significant:

  • Consistency. When processes and decisions are documented, people across a team or organization are working from the same information rather than individual interpretations.
  • Faster onboarding. New employees can get up to speed through documented resources rather than having to absorb everything through observation and asking around.
  • Reduced dependency on individuals. When knowledge lives in documents rather than people, the organization is not vulnerable every time someone changes roles or leaves.
  • Searchability. Documented knowledge can be retrieved on demand. A well-structured knowledge base makes this especially efficient, allowing employees to find what they need without interrupting a colleague.

Challenges of Explicit Knowledge

Explicit knowledge is the easiest type to share, but maintaining it introduces its own set of problems.

  • It goes stale. Documented knowledge reflects the moment it was written. Processes change, products update, and policies shift. Without a system for reviewing and updating documentation, explicit knowledge drifts out of accuracy over time.
  • Volume becomes a problem. Organizations that document consistently can end up with more material than anyone can navigate. Findability degrades as the library grows, particularly without good structure and search functionality.
  • Quality varies. Not all documentation is equally useful. Poorly written or incomplete articles can create as much confusion as no documentation at all.
  • It can give a false sense of security. Having something documented does not mean it is correct, current, or actually being used. Organizations sometimes assume that because knowledge exists on paper, it is effectively shared.

A knowledge base addresses several of these challenges directly. Centralized storage, structured organization, and built-in search make explicit knowledge easier to maintain and navigate than documentation scattered across different tools and folders.

How Explicit Knowledge Can Be Acquired and Shared

Acquiring explicit knowledge is largely a matter of access. If it is documented and findable, it can be learned. The real work is in building and maintaining the systems that make it findable in the first place.

Sharing explicit knowledge effectively comes down to a few things:

  • Centralized storage. Knowledge that lives in one organized location is accessible. Knowledge spread across shared drives, email threads, and disconnected tools is not, regardless of how well it is written.
  • A knowledge base. A dedicated knowledge base is the most direct solution to the problem of explicit knowledge management. It provides structure, search, and a single source of truth that the whole organization can reference and contribute to.
  • Clear ownership. Every piece of documented knowledge should have someone responsible for keeping it current. Without ownership, documentation drifts.
  • Regular audits. Scheduled reviews of existing documentation catch outdated content before it causes problems. This is especially important in fast-moving organizations where processes change frequently.

 

Comparison of Different Types of Knowledge

While tacit, implicit, and explicit knowledge are often discussed separately, understanding how they relate to each other is where the practical value lies. The table below summarizes the key dimensions across all three.

Dimension Tacit Knowledge Implicit Knowledge Explicit Knowledge
Definition Know-how built through experience that cannot easily be put into words Knowledge that exists in practice and could be documented, but has not been Knowledge that has been captured in a tangible, accessible format
Can it be articulated? Rarely, if at all Yes, with deliberate effort Already articulated
How it's transferred Mentorship, apprenticeship, observation Knowledge capture, interviews, process documentation Reading, training materials, knowledge bases
Transfer speed Slow Moderate, once surfaced Fast
Risk of loss Very high (tied to individuals) High (invisible until it disappears) Lower, provided documentation is maintained
Scalability Very limited Moderate High
Primary challenge Cannot be fully documented Has not been documented yet Can go stale or become hard to navigate
Organizational value Competitive edge, hard to replicate Operational efficiency, institutional memory Consistency, scalability, onboarding

 

The Role of Knowledge Bases in Preserving and Sharing All Types of Knowledge

A knowledge base is often thought of as a place to store explicit knowledge, and that is certainly its most obvious function. But a well-built knowledge base does more than house documentation. It plays a meaningful role across all three knowledge types, at different stages of their lifecycle.

For explicit knowledge, the knowledge base is the primary home. It provides the structure, search functionality, and centralized access that make documented knowledge actually usable. Without it, explicit knowledge tends to scatter across folders, inboxes, and tools where it becomes nearly as hard to retrieve as knowledge that was never written down. A knowledge base also creates the conditions for maintenance: with clear ownership and regular audits built into the system, documented knowledge stays current rather than quietly drifting out of date.

For implicit knowledge, the knowledge base is what makes capture worthwhile. The effort of surfacing undocumented practices through interviews, process reviews, and structured conversations only compounds in value when the output has somewhere permanent and searchable to live. Without a dedicated place to store what gets surfaced, documented implicit knowledge tends to scatter just as quickly as the undocumented kind. A knowledge base closes that loop.

For tacit knowledge, the relationship is more indirect but still real. Tacit knowledge cannot be fully documented, but some of it can be approximated. Case studies, decision walkthroughs, and documented examples from experienced practitioners capture at least a portion of what pure instruction misses. A knowledge base is where those resources live, making them available to others who are building their own experience and judgment over time.

The deeper point is that most organizations are sitting on a mixture of all three knowledge types simultaneously, and the gaps between them are where things go wrong. Processes break down. Onboarding takes longer than it should. Experienced people leave and take more with them than anyone anticipated. A knowledge base does not eliminate those risks, but it is one of the most practical tools for managing them, giving organizations a place to convert what is known into something that can outlast any individual who holds it.

 

In Conclusion

Knowledge comes in forms that are easy to document, forms that could be documented but never have been, and forms that resist documentation almost entirely. That is where the tacit, implicit, and explicit classification comes from. Understanding the difference is what allows organizations to manage it deliberately rather than lose it by accident.

The practical priority is clear: convert what can be captured, create the conditions for transferring what cannot, and build the systems that make all of it accessible to the people who need it.