Two people can use the same technical term, nod at each other, and still mean different things.
I once watched colleagues use “DevOps” in noticeably different ways while the conversation continued as though everybody had agreed on a definition. Nobody was necessarily wrong. The problem was that the apparent agreement hid a real difference in meaning.
Shared vocabulary is not automatically shared understanding
This happens constantly with terms like platform, integration, automation, AI agent, workflow, observability, governance, and enterprise-ready. Teams become familiar with a word long before they become precise about what the word means in their own product.
That ambiguity can survive internal meetings because people fill in the gaps from context. It becomes much more expensive when the same ambiguity reaches customers, documentation, sales decks, onboarding, or product interfaces.
Terminology management is product work
A glossary may sound like documentation housekeeping. In practice, it can expose disagreements about product scope, architecture, personas, and positioning.
Good product communication therefore requires more than choosing appealing words. Teams need to know which terms have fixed meanings, which terms are market language, which are internal shorthand, and where a customer is likely to interpret a word differently.
If everyone in the room says the same word, that is not proof that everyone means the same thing.