You Think You’re Delivering a Great Experience. Your Customers Disagree.

The number stops people cold every time I share it in a room.

Eighty percent of CEOs believe their company delivers an exceptional customer experience. Eight percent of their customers agree. That gap — seventy-two percentage points between what leadership believes and what customers actually feel — isn’t the result of bad intentions. Every CEO I’ve ever worked with genuinely believes they’re delivering something good. Most of them would personally be happy with the service they’re providing.

That’s exactly the problem.

They aren’t the customer. And the moment you become the person running the company, you lose the ability to experience it the way your customers do. You know too much. You know which colleague to call when something goes wrong. You know the shortcut through the confusing part of the process. You’ve never waited on hold for forty minutes because you’re the person other people call.

This is what I mean when I talk about the difference between inside-out and outside-in thinking. Inside-out is how your company sees itself — your intentions, your org chart, your internal metrics, your belief that the new system you just implemented is an improvement. Outside-in is what your customers actually experience when they interact with you — the friction they hit, the questions that don’t get answered, the moment they decide it’s not worth the trouble anymore and quietly leave.

AI is making this gap wider, not smaller, for most companies right now.

Here’s what I keep seeing: a company invests in an AI tool — a chatbot, an automated support workflow, a personalization engine — and measures success by how much it reduced call volume or increased response speed. Those are inside-out metrics. They measure what’s easier for the company. What they don’t measure is whether the customer got what they actually needed, whether the interaction left them feeling taken care of, or whether the automated response they received at 2am solved their problem or sent them to a competitor.

The companies getting AI right are the ones who started with the outside-in question: what does this customer need at this moment, and does this tool make it easier or harder for them to get it? They mapped the customer experience before they chose the technology. They know where the friction is before they try to automate it away.

The ones getting it wrong automated their existing process and assumed that faster meant better. Sometimes it does. Often it just means the customer hits the same wall more efficiently.

That seventy-two-point gap exists because most companies are measuring the wrong thing. They’re measuring their own performance against their own expectations. The fix isn’t a better dashboard — it’s a willingness to step outside your own building, talk to your actual customers, and find out what they’re experiencing when you’re not watching.

That conversation is usually uncomfortable. It’s also usually the most valuable one a leadership team can have.