What Your Business Knows That You Don't

Nine months in, it was clear the hire wasn't working. We had to let her go.

At our next leadership team meeting, I told the group what had happened.

One of my senior leaders said immediately: "I could have told you that months ago."

That sentence stopped me.

She led our technology area and had visibility I didn't. When planners made errors they couldn't resolve on their own, those problems routed to her team. She had been watching the struggle unfold in real time, through the operational data, through the volume of exceptions landing on her desk. The direct reporting line said everything was progressing fine. The system told a different story.

That gap has a name. It's called information asymmetry. And it's an underdiagnosed cause of underperformance in small and mid-sized businesses.

Why truth gets filtered

Information asymmetry means one person, team, or department knows something another doesn't. In organizations, it explains why leaders often make decisions on incomplete pictures, not because they lack judgment, but because the structure between them and the truth systematically filters what reaches them.

As leaders rise, they often receive less direct information, not more. People avoid difficult conversations. Managers soften bad news to protect their teams. Problems get normalized before they get escalated. The person making the most consequential decisions may not be seeing an accurate picture, which means the mental model guiding those decisions is flawed before they're even made.

Managers don't filter bad news because they're dishonest. They filter it because they have rational reasons to. Their reputation is tied to how their team performs. The story they've been telling their peers looks better if the hire is succeeding. Softening the picture isn't dishonesty. It's self-preservation. That's the harder truth behind the structural explanation.

The information businesses need to perform better is often already there. The challenge is that no one built the path for it to travel.

Customer frustration is visible to frontline staff long before it reaches an executive. Culture problems are felt by employees before they surface in HR conversations. The insight that would change a decision is often already in the organization. It's just trapped.

Triangulation: a better system

The experience I described above changed how we approached new hire development.

We introduced what I came to think of as triangulation: gathering perspective from multiple vantage points at deliberate checkpoints, particularly during the first year of a new hire or someone stepping into an expanded role.

Rather than relying on a single manager's view, we sought input from people with meaningful windows into the work: direct leaders, peers, cross-functional partners, system owners, and customers where relevant. The checkpoints were deliberate, around 60 to 90 days, and again around the 10-month mark, early enough to act before the first year closed.

The point of gathering multiple perspectives isn't just more data. It's checking blind spots with the people who are most directly interacting with that person and see the work up close. The output feeds back to the leader as a development plan and gives the individual a real path to grow in the role.

A development conversation built on fuller truth produces better outcomes than one built on a single filtered view.

Where AI changes this

Not every information gap works against you. Knowing something the market doesn't is its own kind of advantage. This is about the other kind.

Before a client meeting, particularly when someone has gone quiet or become less responsive, I use AI to scan my notes and email history with that person. It surfaces patterns in the conversation history and makes recommendations on next steps. I still make the call. But I walk into the room with a sharper picture than I'd have otherwise.

The same principle applies at a larger scale. Tools already exist to do this. An AI agent that monitors inbound customer emails and support tickets, scans for patterns, prioritizes what's urgent, and delivers a regular structured read to the executive team is straightforward to deploy. The logic is the same: surface what's already in the data before a decision gets made on an incomplete picture.

For CEOs thinking seriously about where AI delivers real business value, information flow is one of the strongest answers.

Seven questions worth sitting with

These are the questions I've found most useful for a CEO who wants to get honest about where the picture might be incomplete.

• What does my business know that I don't?
• Where is truth delayed before it reaches me?
• What are my customers saying that leadership hasn't fully heard?
• Where are my managers unintentionally optimistic?
• Which part of my organization sees problems earliest?
• Is our culture safe enough for candor?
• What would surprise me today if I looked one layer deeper?

These are uncomfortable questions. They are almost always valuable ones.

The leaders who get this right

In my experience, leaders often don't fix this because they assume the information gap is about access. It isn't. It's about structure. The reporting systems, the hierarchies, the cultural norms around bad news, all of it shapes what arrives at the top before anyone decides what to share.

"I could have told you that months ago." That's not a failure of one person's candor. That's what a broken information path sounds like when it finally speaks.

The leaders I've respected most don't assume they're fully informed. They build deliberate systems to stay connected to reality. They treat information as something to be actively pursued, not passively received. They understand that the picture arriving at their desk has already been filtered by every layer it passed through.

Your organization almost certainly knows things you don't. The question is whether you've built for truth, or just for reports. What's one step you can take to start changing that?