Do You Know It, Can You Do It, Do You Show It?
Three questions that stop you mistaking information for competence
If Medium is your go-to reading spot, you can catch this post there too! Just click here.
Over 450 million workers will need upskilling by 2030 (43 million in the UK) with more than 30% relying on non-traditional educational pathways (11 million in the UK). This is what it will take to build the capabilities that will unlock the benefits of the AI revolution.
Technological change has historically been responsible for raising the bar on what people need to learn - from the wheel to generative AI. But there is a problem: when organisations talk about ‘capabilities,’ they often conflate three very different things into one. In reality, capabilities have layers.
We see this confusion everywhere: in job descriptions that promise “must have knowledge and skills” without ever explaining the difference; in training budgets spent on gaining new knowledge while leaders wonder why nothing changes; in feedback conversations where “you need to be more strategic” is left floating without a clear anchor.
The problem here is the blurred boundaries. We treat knowledge, skills and behaviours as synonyms, when in reality they answer different questions.
In this article, we will sharpen those boundaries by turning each into a question:
Do you know what matters? ➡️ Can you actually do it? ➡️ Do you show it consistently?
Mind the Gap
📚 Knowledge is the Foundation
Knowledge is embodied by the theories, concepts, facts and mental models we draw on to make sense of a situation. Without knowledge, we’re guessing.
But knowledge is also the easiest to fake. People can parrot terminology without grasping the meaning (I’m sure you’re familiar with people who talk in buzzwords!). They can pass a multiple-choice test without being able to use what they’ve memorised.
Example: A product team can’t just know that customer personas exist. They need to understand why those personas matter: how they shape design choices, prioritisation and ultimately customer satisfaction. Without that anchor, knowledge risks staying theoretical: useful in exams, but powerless in practice.
🌉 Skills Turn Static Knowledge into Dynamic Capability
Skills are the bridge between theory and execution.
Unlike knowledge, skills can’t be acquired by reading. They require practice, feedback and a commitment to continuous improvement. Think of a pilot: manuals can teach you how a plane works, but only crosswind landings at 3 a.m. build the reflexes to keep it steady.
Skills also degrade without use. You might once have been fluent in a coding language or adept at public speaking, but if you don’t keep applying those skills, they slowly fade (at least to a point). Knowledge can be stored for years; skills atrophy more quickly.
Example: A leader might know what psychological safety is, but the skill is in creating it in a tense meeting. That means facilitating, handling conflict constructively and noticing when quieter voices aren’t being heard. It’s the doing, not just the description.
🎬 Behaviours are Where Everything Comes Together
Behaviours are what others see, what culture reinforces and what ultimately shapes outcomes.
Unlike knowledge or skills, behaviours are not private. They’re visible and social. You may know how to give feedback and have practised it in role-plays, but if in real life you avoid tough conversations or sugar-coat the truth, your behaviour contradicts both your knowledge and skill.
The other key feature of behaviours is consistency. A skill can be demonstrated once; a behaviour is proven by repetition. One act of listening doesn’t make you an active listener. The behaviour is only credible when it shows up reliably, across situations, especially under pressure.
Example: Take inclusion. A manager may know the research on bias (knowledge) and be trained in inclusive facilitation (skill). But if, in weekly meetings, they only ever invite input from the same two people, the behaviour tells the real story.
Why the Distinction Matters
The differences we have been exploring aren’t a matter of semantics. Conflating knowledge, skills and behaviours into one bucket leads to costly mistakes:
Training budgets get wasted: We deliver courses heavy on slides (knowledge) but light on practice (skills) or reinforcement (behaviours).
False confidence creeps in: People feel competent because they recognise terms, but stumble in live application.
Culture gaps emerge: Teams say they value collaboration but behave in ways that reward individual heroics.
How to Spot the Confusion
If your people can talk about it but not apply it → Knowledge gap.
If they can apply it in practice sessions but not under pressure → Skill gap.
If they know and can do it but don’t consistently show it → Behaviour gap.
Separate The Layers
Most organisations struggle because they can’t tell whether their people know, can do or actually show what matters. I have experienced this time and time again in my teamwork as a consultant.
If you want to see growth, you have to separate the layers. Ask what people understand, experience what they can apply and observe what consistently shows up in their actions. The answers won’t be comfortable in some cases, but the gaps will be clear. That’s what you need to drive action.
Growth comes from tracing where the chain breaks - between knowing, doing and showing - and strengthening it there.
I find it really helpful to reflect on my own challenges and explore where the issues may lie. With this new lens in mind, ask yourself: where do you tend to get stuck - knowing, doing or showing? You might be surprised by the answer.
I'm Andrea, a management consultant with over a decade of experience across industry and academia. I work with commercial, non-profit, academic and government organisations worldwide, helping them capture meaningful insights through mixed methods research.
I write about practical frameworks to help you discover what others miss. My main goal is to translate complex concepts into techniques that readers can use immediately.