Appropriateness recognizability asks whether a user can tell that the product is suitable for their needs before committing to it. A measure relates correct judgements to the users asked. This family is about the first minute, not the first week. It covers the information a user sees before use: the description, the screenshots, the first screen, the help. The population is a group of intended users, not the product team. The measure can be collected cheaply with a short task: show the entry point and ask what the product is for and whether it fits. A high score here reduces support load and abandoned trials, which is why it belongs in a product quality report and not only in marketing.
The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.