These four states are best understood as different combinations of what a person actually knows or can do and whether they are aware of that knowledge/skill. They are often used in learning, coaching, management, and psychology to describe awareness levels.
A simple way to frame it:
| State | Awareness level | Meaning | Example |
|---|---|---|---|
| 1. Doesn’t know what he doesn’t know | Unaware unknowns / unconscious incompetence | The person lacks knowledge or skill, but does not realize the gap exists. | A fresh CS grad with single domain knowledge, built a App on his laptop, mistakes his own blind spots for ambition to be a Tech CEO, and expects VC funding and success. |
| 2. Doesn’t know what he knows | Unconscious competence / implicit knowledge | The person has a skill or knowledge base, but cannot fully recognize, articulate, explain, or systematically use it. | A chef tastes food and instinctively knows the sauce is “missing something,” then adds a pinch of salt, a drop of vinegar, or a bit of butter to fix it—but when asked why that combination works, he can only say, “It just felt right.” He has real talent, but he hasn’t turned his gut into explainable rules. |
| 3. Knows what he doesn’t know | Aware unknowns / conscious incompetence | The person lacks knowledge or skill and is aware of that gap. This makes learning possible. | A manager says, “I don’t know how to build a KPI system, but I’ll study and learn from other senior managers.” This fits knows what he doesn’t know because he can identify specific gaps and actively seeks experienced people to fill them. |
| 4. Knows what he knows | Conscious competence / explicit awareness | The person has the knowledge/skill and can identify it, apply it, explain it, and use it deliberately. | A doctor diagnoses a patient, explains the reasoning, chooses tests, and can teach another physician how to think through the case. |
1. Don’t know what he doesn’t know
This is the state of blind spots. The person does not have the knowledge, skill, or insight, but also does not realize that something is missing.
Characteristics:
- May be overconfident without realizing it.
- May give incorrect answers and believe they are correct.
- May ask wrong questions because they do not know what to ask.
- Hard to teach, because the person may not see a need for help.
Example:
A new investor thinks buying one stock is enough because “everyone else does it.” They don’t know about diversification, risk management, or portfolio construction — and they don’t realize that those are missing pieces.
Risk:
This state can look like confidence, but it may actually be delusional. The person may make bad decisions without knowing better.
Example: Fresh grad wants to start an AI Resume maker startup
A 21-year-old CS fresh grad wants to become a tech founder. He builds a app called “ResumeAI” where students can upload their resume and get enhanced by AI.
He is excited because the basic demo works:
User uploads PDF → app calls an LLM API → app prints questions on screen.
He says things like:
- “The core idea already works, so we can launch next month.”
- “People will come once they see it’s smart.”
- “Why do we need a database? We just show the results in the browser.”
- “Payments can wait until after customers sign up.”
- “Security isn’t important yet because we’re small.”
- “We don’t need a business model, the product is enough.”
He has some beginner coding skills and enthusiasm. But he doesn’t realize how many gaps exist between “it works on my laptop” and “this can be a real startup product.”
What he doesn’t know — but also doesn’t realize is missing
1. Product vs. demo
He thinks the working prototype means the product is nearly done.
In reality, most of the work may not have started yet.
Blind spot:
A demo handles one happy path. A real product must handle many edge cases:
- broken file uploads
- large PDFs
- poor-quality notes
- users uploading wrong files
- duplicate uploads
- slow network conditions
- empty results
- AI giving weird or incorrect text
He doesn’t know what he doesn’t know, so he cannot list these problems. He only notices them when they happen.
2. User accounts and authentication
He may use his own email address as the user identity during testing.
But in a real startup app, you need:
- login/signup
- password recovery
- session management
- account deletion
- profile storage
- email verification
- secure cookies/tokens
- protection from fake logins
Blind spot:
He doesn’t understand that authentication is not “extra work.” It is a basic part of building any real user-facing product.
3. Database design
Maybe he stores uploaded notes in memory or on his laptop.
But if the app is supposed to serve students, it needs a proper data structure:
- users table
- usage history
- subscription status
- preferences
- analytics events
Blind spot:
He doesn’t realize that database design affects speed, cost, features, and scalability. He thinks “it saves the file” is enough.
4. Cost control
Every time a student generates questions, the startup pays the AI provider for tokens or API calls.
A beginner may not know to estimate:
- How much does one question generation cost?
- What happens if a user clicks “generate” 100 times per minute?
- Can someone abuse the app and drain our budget?
- Do we need rate limits?
- Do we need free tier vs. paid tier?
- What is the cost to serve 1,000 active users?
Blind spot:
He thinks good product = startup success. But if the app costs $50 to generate one student’s questions and students only pay $5/month, the business may not work.
5. Scalability
His app might work for 1 user on his laptop.
But a startup needs it to work for many users at once:
- hosting
- load balancing
- caching
- queue jobs for AI generation
- handle slow API responses
- keep the website fast
- monitor errors
- auto-restart failed processes
Blind spot:
He doesn’t know that “it runs” and “it scales” are very different things.
6. Security
A beginner may not realize common app security risks:
- SQL injection
- XSS attacks
- fake user sessions
- leaking other students’ notes
- insecure file uploads
- API key leaks in frontend code
- rate limiting to prevent abuse
- data privacy when storing student work
Blind spot:
He thinks if the website loads, it is “safe.” But safety includes protecting user data, money flows, and account access.
7. Mobile experience
Many students will use phones, but his app may only work well on desktop.
Blind spot:
He doesn’t realize that a lot of users need to upload files, read questions, and answer them on mobile screens. If the UI is not responsive, many people will leave.
8. Customer acquisition
He believes:
“If it’s good, students will find it.”
But he does not know:
- where the first customers are
- how to get the first 100 users
- what channel works best
- whether universities are a good market
- whether teachers should be sold instead of students
- what retention looks like
- why students might churn after one exam
Blind spot:
He confuses having a product with getting customers.
9. Retention and monetization
Students may use the app during exams, then stop using it.
A beginner may not think about:
- how often do people need this?
- will they pay monthly or prefer freemium?
- what is lifetime value?
- what is customer acquisition cost?
- when should we introduce pricing?
- free trial vs. subscription
- refunds
- churn rate
Blind spot:
He assumes usage = revenue. But people using the app once does not mean they are paying customers.
10. Competition and differentiation
Theres definitely many others existing similar platforms.
He may say:
“Mine is better because it is XXX.”
But he doesn’t know what real competition means:
- user trust
- brand recognition
- integrations with companies
- workflows
- price sensitivity
- switching costs
- data quality
- retention features
- distribution advantage
Blind spot:
He compares his idea to an imaginary perfect product, not to the market.
11. Legal and privacy issues
Students are uploading class notes, which may include teacher materials, school projects, or personal information.
He may not know about:
- terms of service
- privacy policy
- data storage location
- consent
- copyright in uploaded documents
- GDPR or local privacy laws if relevant
- how long data should be kept
- how users delete their data
Blind spot:
He thinks legal stuff is for big companies. But startups also need basic legal hygiene.
12. Founding team gaps
As a fresh grad, he may think he can do:
- coding
- product design
- marketing
- finance
- customer support
- operations
- fundraising
But a startup founder usually needs to recognize which skills are missing and find co-founders or advisors.
Blind spot:
He may not realize that being a good coder is only one part of building a company.
Why this is “doesn’t know what he doesn’t know”
This fits state 1 because the fresh grad does not just lack experience. More importantly, he does not recognize the gaps.
If he were in state 3, he might say:
“I can build the basic AI feature, but I don’t know how to market the product or handle payments.”
That would mean he knows what he doesn’t know. He is aware of his blind spots and can learn from them.
But in state 1, he says something like:
“It works, so we’re basically ready to launch.”
And when you ask him about security, database design, pricing, customer acquisition, retention, mobile UX, or cost per user — he pauses.
He doesn’t know what questions he should be asking.
That is the key difference between beginner and “doesn’t know what he doesn’t know”:
- Beginner: has gaps.
- State 1: has gaps and does not see the gaps.
2. Don’t know what he knows
This is a more subtle state. The person has knowledge or ability, but that knowledge/skill has not been fully made explicit. They can do it, use it, or rely on it, but cannot easily name it, explain it, teach it, or consciously control it.
Characteristics:
- May perform well intuitively without understanding why.
- Can copy examples correctly even if they cannot analyze them.
- Has implicit knowledge: knowing how to do something without being able to fully describe it.
- May underuse their own abilities because they don’t recognize what they already know.
Example:
A good salesperson can close deals, but when asked how they do it, they say, “I just go with the customer.” They have useful instinct and skill, but it is not fully organized or teachable.
Risk:
This state can be efficient in familiar situations, but weak in new situations. If a person cannot explain what they know, they may struggle to:
- train others
- improve systematically
- transfer the skill to another field
- recognize when their assumptions are wrong
In short: they have it, but it is not fully conscious.
3. Knows what he doesn’t know
This is a strong learning state. The person recognizes that they lack something and can identify the gap.
Characteristics:
- Aware of questions they cannot answer.
- Able to seek help.
- More open to learning.
- Can distinguish between areas where they are competent and areas where they are weak.
Example:
A manager says, “I know how to motivate people, but I don’t know how to structure performance reviews correctly.” That person has identified a specific gap.
Risk:
The main risk is not ignorance itself; the risk is stopping at awareness without learning or applying. Someone may know what they don’t know but still avoid studying it.
This state is usually better than state 1 because the person can now act on their own weakness.
4. Knows what he knows
This is the most functional and useful state for decision-making, leadership, teaching, and professional work. The person not only has knowledge or skill, but they are also aware of it and can use it deliberately.
Characteristics:
- Can explain what they know.
- Can apply it in practice.
- Can teach it to others.
- Can recognize the limits of their own knowledge.
- Can plan, compare options, and make reasoned decisions.
Risk:
This state is good, but it is not perfect. A person may know what they know and still:
- overestimate their ability under pressure
- fail to apply knowledge in a new context
- forget details when needed
- confuse familiarity with true mastery
So “knows what he knows” is strong, but only if the person also calibrates it against reality.
Relationship to the classic 4-stage model
Your four states resemble the common learning/competence model:
- Unconscious incompetence — doesn’t know they don’t know
- Conscious incompetence — knows they don’t know
- Conscious competence — knows how to do it and can explain it
- Unconscious competence — does it automatically, often without full verbal explanation
Your list is a bit different in ordering, but the core idea is similar: awareness and knowledge/skill interact with each other.
Key distinction
The real difference between these states is not just “do they know it or not?”
It is also: can they recognize, explain, use, teach, and adjust their own knowledge?
So:
- Blind ignorance: no skill/knowledge, no awareness of the gap
- Hidden ability/skill: has skill/knowledge but cannot fully articulate or control it consciously
- Productive awareness: lacks skill/knowledge but recognizes the gap
- Useful mastery: has skill/knowledge and can apply it deliberately