Startups Are Not Guesswork; They Are a Scientific Process

Most founders think startups are about execution, hustle, or even luck.

They’re not.

They’re about how you think.

A growing body of academic research argues that the best founders don’t just build companies, they behave like scientists.

One of the strongest recent contributions is:

Felin, T., Gambardella, A., Novelli, E., & Zenger, T. (2024). A Scientific Method for Startups. Journal of Management.

The Problem: Startups Are Built on Weak Thinking

Most startups fail before they even meet investors.

Not because:

• the product is bad

• the market is small

• or the team is weak

But because the underlying logic is broken.

Research shows that founders often rely on incomplete or misleading signals when making decisions under uncertainty (Felin et al., 2024)

They:

• jump into building too early

• rely heavily on scattered feedback

• validate without a clear hypothesis

  
  

This creates a dangerous illusion:

Activity feels like progress but it’s not.

Example of Uber

Lean Startup Got One Thing Right (But Not Everything)

The Lean Startup movement (Ries, 2011; Blank, 2013) introduced a powerful idea:

Test fast. Learn fast.

It emphasizes:

• MVPs

• customer feedback

• rapid iteration

  
  

But research highlights a key limitation:

Customer feedback is often heterogeneous, noisy, and difficult to interpret (Felin et al., 2024)

This creates three problems:

• Different customers want different things

• Feedback lacks clear signal vs noise

• Novel ideas cannot be validated early

  
  

Even earlier work acknowledged this challenge:

“Another challenge lies in knowing which customers to heed and which to ignore.” Osterwalder & Pigneur (2010)

The Shift: From Feedback to Theory

The scientific approach introduces a more powerful idea:

Start with a theory, not with feedback.

According to Felin et al. (2024):

“Entrepreneurs should act like scientists… developing hypotheses and testing them through structured experimentation.”

A startup is not just a product.

It is:

• a belief about the future

• a hypothesis about value creation

• a causal model of how things will work

How Real Value Is Created

Breakthrough startups don’t emerge from surveys.

They emerge from strong beliefs + structured reasoning.

1. Start With a Contrarian Belief

Research shows that asymmetric beliefs, not information, drive value creation (Felin et al., 2024)

Examples:

• Airbnb → “People will trust strangers”

• Apple → “Computers will become personal”

  
  

These ideas initially look wrong.

That’s exactly why they matter.

2. Turn the Belief Into a Problem

A startup is fundamentally a problem-solving system.

“Value creation… is about finding, formulating, and solving problems.” Felin et al. (2024)

Instead of asking:

“Will users like this?”

Ask:

“What must be true for this to work?”

3. Break It Into Subproblems

The research highlights that startups succeed by solving a structured set of subproblems

Example (Airbnb):

• Trust between strangers

• Secure payments

• Matching supply and demand

Failure in one key subproblem = failure of the entire startup.

4. Build a Causal Logic

A real startup is not a story.

It’s a system:

IF these assumptions hold THEN value will be created

This is what the paper calls “causal logic for value creation” (Felin et al., 2024)

5. Test the Weakest Assumption First

Instead of blindly building MVPs:

Research suggests:

Entrepreneurs should test critical assumptions and subproblems first, not full products

Because:

• weak assumptions kill startups

• early validation can be misleading

Why This Matters for Founders

Most founders are not failing because they lack effort.

They are failing because they lack structured thinking.

The research shows:

• Early customer validation can bias decisions

• Founders may converge toward safe but low-value ideas

• Radical innovation often cannot be validated early

(Felin et al., 2024)

What PitchEasy Actually Does

PitchEasy is built on this exact principle.

It doesn’t just “review your pitch.”

It applies a scientific, theory-based evaluation:

• Reconstructs your startup as a causal model

• Tests your assumptions

• Identifies what breaks

• Simulates investor thinking

Because investors don’t evaluate ideas.

They evaluate:

the logic behind them.

The Real Takeaway

Startups are not about:

• building faster

• pitching louder

• iterating endlessly

They are about:

Thinking clearly under uncertainty.

Final Thought

If you cannot answer:

• What is your contrarian belief?

• What must be true for it to work?

• What is most likely to break?

Then you don’t have a startup yet.

You have an idea.

Try PitchEasy

And see how investors actually evaluate your startup before they do.