Identify the Real Business You're In and Confront the Big Hairy Problem

The business you think you’re in is usually not the business you’re actually in.

Hormozi gives three personal examples: he thought he was in fitness, supplements, and software, but discovered he was actually in sales & marketing, brand & distribution, and product respectively.

Why: Mis-identifying the core business leads to solving the wrong problems and stagnation.

"I thought I was gonna be in the scientific fitness business when in reality, I was in the sales and marketing business."

Zoom 100 steps ahead, not one or two, to see what the top players have figured out.

Looking only one or two steps ahead risks copying someone who is also lost. The leaders 100 steps ahead reveal the true nature of the business.

Why: Short-sighted benchmarking perpetuates the same mistakes; long-range benchmarking reveals the real game.

"One of the easiest ways to identify what business you're really in is to zoom all the way out to the people who are already 100 steps ahead of you."

Every business has one big, hairy problem that must be solved to unlock the next level.

Examples: a plumbing M&A firm was limited by plumber recruitment, a media giant by monetization, a supplement brand by brand coolness.

Why: Resources mis-allocated to non-constraints yield diminishing returns; fixing the real constraint yields outsized gains.

"literally everything that he does with his time that is not about creating an acquisition system for talent is the thing that's limiting the business."

Turn complaints into “I don’t know how” questions to convert excuses into solvable problems.

Instead of “no one can sell like me,” say “I don’t know how to train people to sell like me.” Questions have answers; complaints do not.

Why: Language shapes mindset; questions open pathways to solutions while complaints justify inaction.

"One is a complaint, the other is a question. And the question has an answer."

Calculate the enterprise-value delta created by solving the big, hairy problem to justify the pain.

A hypothetical $10M revenue/$3M profit business could jump to $20M/$8M, increasing valuation from $15M to $72M—a $57M gain for solving one problem.

Why: Quantifying upside reframes the problem from emotional pain to rational investment.

"if someone paid me $57 million to solve it, would I be willing to solve it? I'm like, hell yeah, I'd probably solve it for a million dollars."

Every traditional business can scale to $100M enterprise value; the bottleneck is the entrepreneur’s skill set.

Subway, Panda Express, and Chick-fil-A took 59, 42, and 78 years respectively to reach massive scale—proof that time and model choice matter more than industry limits.

Why: Blaming the industry avoids confronting personal skill gaps; accepting responsibility unlocks growth.

"Every business, in my opinion, can get to a hundred million dollar enterprise value."

Push when assumptions hold (good hard); pivot when core assumptions are proven false (bad hard).

Good hard: iterating TikTok ads for accountants. Bad hard: trying to save newspapers when the underlying market is disappearing.

Why: Distinguishes productive persistence from destructive stubbornness.

"Bad kind of hard is when your underlying assumptions are proven incorrect."

Explicitly list the assumptions that must remain true for your strategy to work.

Before investing, state “need-to-beliefs” (e.g., “accountants are on TikTok and can be reached profitably”). If data disproves any, pivot.

Why: Provides an objective trigger for pivoting, reducing emotional decision-making.

"I like to identify what I call the need to beliefs, or the assumptions that I believe to be true or must believe to be true in order for the remainder to follow as desired."