Structured Data Model Proposed to Improve Boiler Service Request Handling

A lightweight intake schema has been proposed for heating-service teams to convert vague customer fault reports into structured, actionable service records. The model captures observable facts such as pressure readings and error codes without requiring customers to diagnose the appliance themselves. A key design principle separates safety-critical observations — like gas odors or smoke — from routine symptoms, automatically routing flagged requests to a safety-review queue. The schema also distinguishes between customer observations and technical diagnoses to prevent unverified guesses from being treated as confirmed facts later in the workflow. All record updates are logged with source and timestamp metadata to maintain a complete audit trail.