In last week’s post, I shared some perspectives being described as “industry agnostic,” and the question it raised:

When does industry experience really matter, and when might the ability to learn matter more?

A few conversations since then pushed the discussion in a more practical direction.

Not whether learning ability matters, but something more specific:

How do you actually evaluate it when you’re hiring?

Industry knowledge can accelerate judgment.

But curiosity, pattern recognition, and disciplined learning often determine whether leaders actually improve organizations.

A few reflections on that balance.

When performance issues show up in organizations, the instinct is often to look at the people. Someone isn’t delivering. A project is behind. A team isn’t moving.

But in many cases, the real problem started much earlier.

It started with unclear expectations.

Strategy matters. Structure matters. Execution matters.
But the real engine behind all three is people.

There’s a familiar leadership principle:  Structure follows strategy.

Once strategy is clear, the organization must be designed to support it. Reporting lines, decision authority, and the way work gets done begin to take shape.

And once structure is in place, execution follows structure.
The organization understands how work moves.

But there’s another step that often receives less attention.

The challenge today isn’t access to information. It’s cutting through the noise to find clarity.

As leaders, we are surrounded by data, forecasts, opinions, and now AI layered on top of it all. There is more noise, not more clarity.

In this environment, decision-making requires discipline.

Three practices matter more than ever.

Leadership is accepting that performance and people are both your responsibility, not one or the other.

In reality, it comes down to three responsibilities.

You rarely win the year in the first quarter.

But you absolutely build the standard that will define it.

The first 90 days don’t determine outcomes on their own, they determine expectations. They establish cadence. They reinforce what matters and what doesn’t. And they quietly signal whether this will be a year of disciplined and proactive execution or gradual drift.

I’ve developed a bit of a habit of saying, “I don’t know.”

Not because I’m unprepared. But because I’ve learned that pretending to know is far riskier than admitting I don’t.

Early in my career, I served as a high-voltage electrician and combat engineer with the United States Army Corps of Engineers. The symbol we wore, the castle with the motto Essayons, in French means “Let us try.”

Great leadership doesn’t start with changing who you are. It starts with understanding who you are.

What AI, CRM, and buying have taught me, by sitting on both sides of the table.

I’ve spent enough time as both a seller and a buyer to know this:

Time is money.
And poor selling wastes a lot of it.

I’ve heard this line more times than I can count:

“We’re really focused on culture fit.”

I’ve said it myself.

As a hiring manager, it felt like the right thing to say. As a leader, it sounded responsible. Over time, though, and after a few hires that didn’t work out, I realized something uncomfortable:

Looking back, ‘culture fit’ often covered for conversations we hadn’t taken the time to have.

Not because culture isn’t important. But because “culture fit” is vague, subjective, and not very helpful when we are trying to figure out whether someone will actually succeed.

What matters more is much simpler: Do we agree on how the work gets done?

Every January, leadership teams rally around the same word: GROWTH!

More revenue. More customers. More scale. Growth feels like progress. It signals momentum and ambition. But after years working with start-ups, growth-stage companies, and private equity–backed businesses, I’ve learned a simple truth:

Growth is not the goal. Execution is. Growth is an outcome. Execution is the work.