We turned $10,000 into $1,000,000,000 in 5 years.
Here’s what it taught me about scaling any business:
Most companies don't fail because of bad products or weak marketing.
They fail because they can't solve new problems systematically.
After scaling 3 multi-million-dollar companies, I've developed a framework for solving novel problems.
I call it “The Physics of Progress.“
Think of it as the scientific method recontextualized for business.
Here are the 6 phases that make it work:
• Problem Analysis
• Hypothesis Formation
• Outcome Prediction
• Solution Testing
• Data Analysis
• Start Over, But Smarter
Let's break down each one:
1. Problem Analysis
Most entrepreneurs fail because they can't identify their true problem.
Keep asking “why“ until you hit ground truth – something that can only be validated through testing.
Run the “why chain“ on your biggest challenge right now.
2. Hypothesis Formation
Play a game I like to call: “No BS What Would It Take?“
The purpose is to brainstorm every conceivable idea and break free of limiting frames of reference.
The best answers often hide behind “that's impossible.“
3. Outcome Prediction
Write down the exact movement you expect on each KPI:
• What metrics will change
• By how much
• In what timeframe
• What's an acceptable rate of progress
If you don't, you'll trick yourself into believing whatever happened is what you expected.
4. Solution Testing
You don't want to test too many variables at once.
• Test one variable at a time
• Keep everything else constant
• Document all changes meticulously
Testing everything at once is the same as testing nothing at all.
5. Data Analysis
Data is objective. Interpretation is subjective.
You can use data to tell any story.
Your job is to find the story with the highest predictive validity.
Are you interpreting data to look good? Or to actually improve your business?
6. Start Over, But Smarter
Every cycle makes you smarter.
Every failure feeds your prediction engine.
Every test improves your accuracy.
But only if you're brutally honest about what worked and what didn't.
Most businesses try to copy-paste tactics that worked for someone else.
But once you’ve built a business beyond $1M, your problems don’t have cookie-cutter solutions.
Typically, you have no clue where even to begin.
That's why I'm hosting a masterclass where I'll show you:
1. How we used this framework to scale Quest from $0 to $1B
2. How to build a problem-solving engine to reach your goals systematically
Want to register (for free)?
Here's the link!
https://lnkd.in/g9bbR7yN
Here’s what it taught me about scaling any business:
Most companies don't fail because of bad products or weak marketing.
They fail because they can't solve new problems systematically.
After scaling 3 multi-million-dollar companies, I've developed a framework for solving novel problems.
I call it “The Physics of Progress.“
Think of it as the scientific method recontextualized for business.
Here are the 6 phases that make it work:
• Problem Analysis
• Hypothesis Formation
• Outcome Prediction
• Solution Testing
• Data Analysis
• Start Over, But Smarter
Let's break down each one:
1. Problem Analysis
Most entrepreneurs fail because they can't identify their true problem.
Keep asking “why“ until you hit ground truth – something that can only be validated through testing.
Run the “why chain“ on your biggest challenge right now.
2. Hypothesis Formation
Play a game I like to call: “No BS What Would It Take?“
The purpose is to brainstorm every conceivable idea and break free of limiting frames of reference.
The best answers often hide behind “that's impossible.“
3. Outcome Prediction
Write down the exact movement you expect on each KPI:
• What metrics will change
• By how much
• In what timeframe
• What's an acceptable rate of progress
If you don't, you'll trick yourself into believing whatever happened is what you expected.
4. Solution Testing
You don't want to test too many variables at once.
• Test one variable at a time
• Keep everything else constant
• Document all changes meticulously
Testing everything at once is the same as testing nothing at all.
5. Data Analysis
Data is objective. Interpretation is subjective.
You can use data to tell any story.
Your job is to find the story with the highest predictive validity.
Are you interpreting data to look good? Or to actually improve your business?
6. Start Over, But Smarter
Every cycle makes you smarter.
Every failure feeds your prediction engine.
Every test improves your accuracy.
But only if you're brutally honest about what worked and what didn't.
Most businesses try to copy-paste tactics that worked for someone else.
But once you’ve built a business beyond $1M, your problems don’t have cookie-cutter solutions.
Typically, you have no clue where even to begin.
That's why I'm hosting a masterclass where I'll show you:
1. How we used this framework to scale Quest from $0 to $1B
2. How to build a problem-solving engine to reach your goals systematically
Want to register (for free)?
Here's the link!
https://lnkd.in/g9bbR7yN
