What does it mean that the cost of a bad schema?

Operating on a flawed schema produces systematically flawed decisions.

Example: A startup founder raises $2M to build a product based on the schema 'enterprise buyers prioritize features over simplicity.' Every design review, every sprint, every hire optimizes for feature density. Eighteen months in, every lost deal cites the same objection: 'too complicated.' The schema was wrong from day one, and every dollar spent since then compounded the error. The cost wasn't just the money — it was the eighteen months of organizational momentum pointed in the wrong direction.

Try this: Identify one schema you currently operate on that you've never explicitly tested. Write it down as a single declarative sentence (e.g., 'My team values autonomy over guidance' or 'Our customers buy on price'). Now list three decisions you've made in the last month that this schema influenced. For each decision, ask: if the schema were wrong, what would I have done differently? If the answers diverge significantly from what you actually did, you've found a schema worth auditing.