Jon McNeill spent years running Tesla under Elon Musk. Five other startups bracketed it on either side. He's now telling the story in a book called The Algorithm, and the cleanest piece of it is also the one most founders get wrong: the goal you set determines how you think.
He puts it simply. Set a 5-7% improvement goal and you'll get 3-5%. Set a 100% goal and you have to reorganize how you think about the problem - because no amount of optimization within the current frame can get you there. Order-of-magnitude goals - 10x, 100x - force a different brain.
The example he gives is the moment Elon walked over and told him to 20x Tesla's digital sales. At the time Tesla had a 64-click checkout flow. McNeill's instinct, like most operators, was to start optimizing the 64. Elon pulled out a Domino's app and counted 10 thumb taps to buy a pizza. That's the new target.
Twenty-x meant the entire build-to-order religion at Tesla had to die. The company offered 360,000 possible car configurations. The data, when McNeill's team actually ran it, showed customers were buying two - call them Standard and Performance. So they killed the 360,000-option menu. Manufacturing simplified. Engineering simplified. The supply chain simplified. The clicks collapsed. None of that is reachable from a 7% goal. All of it is forced by a 20x goal.
This is the part founders flinch at. We pick incremental targets because they feel responsible. McNeill's argument is that incremental targets are the least responsible thing you can do - they lock you into the current architecture and waste a year tweaking it.
But the goal alone doesn't find the answer. Walking the floor does.
The second pillar of his algorithm is the part most founders skip entirely. Before McNeill formally joined Tesla, Elon asked him to look at the topline problem. Promised the street 12,000 cars; sold 3,000. McNeill didn't open dashboards. He went and mystery-shopped eight Tesla stores, used different email addresses for each test drive, and waited.
Zero callbacks. He called the head of sales ops and asked how many test drives in the past 30 days hadn't been called back. The answer was 9,000. That's the quarter. He shipped a fix in two hours - block all new leads to any salesperson who hadn't called their previous test drives back - and called Elon to confess he'd just made a CEO-level decision in a company he didn't yet work for. Elon paused for a long, uncomfortable minute, then said you'll fit in here just fine.
McNeill calls this the most powerful analytics tool a leader has: two eyes and two ears. Sit in the warehouse for eight hours. Stand on the factory line where the inventory is piling up. Watch a real customer try to buy something on your site and feel the friction yourself. He tells the Falcon Wing door story - Elon dragged him to the production line, they stood and watched workers thread bolts blind, and within ten minutes they could see the fix was a jig. No data could have told them that as fast as their eyes did.
The bank executives he met recently illustrated the inverse. He asked the room to raise their hand if they'd used their own bank's consumer app in the last week. No hands. He told them: I've used two of your apps; they're terrible; if you used them you wouldn't survive another day. The dashboards never told them. They never went and looked.
Combine the two.
The shape of McNeill's algorithm, stripped down, is two-step:
- Set a goal so large that the existing frame can't reach it. The goal is the forcing function on your thinking.
- Find the answer by going to where the work happens - store floor, warehouse, customer's screen - not by sitting in the dashboard.
Most founders do the opposite. They set incremental goals and analyze them from a distance. The result is a year of well-executed motion that doesn't move anything.
The other rule worth stealing from his career: hire salespeople from the company with the bad product, not the great one. Anyone closing inbound at Apple is an order taker. The salesperson at the Microsoft store two doors down - still beating quota with the worse offering - is the one who can actually sell. The same logic that finds 9,000 ignored test drives applies here: don't be impressed by the surface; find the friction that made the work real.
Source: Ex-Tesla President Reveals Everything Elon Does to Win - My First Million
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