A large part of my career has involved moving fragmented markets toward common operating models. The logic is usually compelling: fragmentation costs money, makes performance harder to compare and limits the ability to scale capabilities.
So when one smaller market pushed back on a rollout, my first reaction was to see it as resistance. I defended the model longer than I should have.
Eventually I stopped defending it long enough to understand what they were actually saying. Our standard contact sequence assumed a customer decision that happened in days. In their market, the decision took weeks and involved a second person who was not the buyer. Running the standard sequence there did not simply underperform. It irritated customers while they were still deciding.
They were not protecting a local habit. They had a structural difference we had failed to model.
We changed the playbook, and not only for them. The same pattern existed in other markets that had never challenged the design. That was the part that stayed with me: silence from markets is not always alignment. Sometimes it means the cost of disagreeing has become too high.
Since then, I try to separate preference from constraint. Preferences can be negotiated. Constraints are facts. A scalable model needs enough discipline to resist unnecessary local variation — and enough judgment to change when local reality exposes something the global design missed.