فرمول یک و عادتِ تکیه بر دانسته‌های قبلی

The case opened with something deceptively simple: Formula 1's new commercial leadership, under Liberty Media, wanted to grow the business after inheriting an organization that had barely engaged its fans or built any real digital presence. The prompt was "grow the business," with no target and no timeframe attached.

Naming the actual question

My first move was to resist the instinct most people have in a case like this: manufacturing a fake number just to look decisive. Instead I asked directly what growth actually meant to the client, since the objective as stated was genuinely open-ended rather than something I hadn't looked hard enough at. That distinction, is this vague because I haven't dug in, or is it vague because it's actually unspecified, is worth naming as its own skill, and it's one I'm glad showed up on the first real attempt.

Building the structure, and defining terms before using them

From there I built a structure around three levers: grow the existing pie (more value from current fans and sponsors), find a new pie (geographic expansion, new audiences), or fix a leaking pie (underperforming areas). Two terms inside that structure, "spectacle events" and "brand expansion," needed defining before they were useful, and I said so plainly rather than building on top of a guess. That's a small habit with an outsized payoff: asking for a one-line definition costs nothing, and skipping it is how an entire framework quietly collapses two steps later.

Splitting a hypothesis the data didn't fully support

The strongest moment in the case was a hypothesis I built, tested against data, and then correctly split apart. I'd initially treated live spectacle events, the Sotheby's memorabilia auction, Paddock Club hospitality, and social media virality as one connected lever: events drive buzz, buzz drives engagement. Research came back showing something more precise: it was the type of content, not live events themselves, that actually drove engagement online. That's a real, non-obvious distinction, and separating those two mechanisms rather than letting the data get absorbed into my original story is the kind of update that's easy to describe and genuinely hard to do in the moment.

The trap in the numbers

The number work held up well once I forced myself to state each formula in plain words before running it, a habit that caught a real trap in the data: a conversion rate that applied specifically to new followers gained, not the full ending total. The nearest, most visible number on the page isn't automatically the right base to calculate from, and going back to what "new" conceptually meant, rather than grabbing the biggest number in sight, is exactly the kind of catch that separates a clean answer from a wrong one that looks clean.

What I'm carrying into the next case

The one thing worth carrying forward, more than any individual number: I had real, specific evidence sitting in my own analysis by the end, a $31 million auction figure, a 7% jump in Paddock Club sales, a $2.2 million profit calculation I'd built myself, and my closing synthesis didn't lean on those numbers as hard as it should have. A specific figure you've already earned is always a stronger closer than a general claim standing in for it. That's the refinement I'm actively building into the next case: not just doing the analysis well, but making sure the strongest evidence survives all the way to the final sentence.