Model Quality Control ensures that models are accurate, consistent, and fit for their intended use at each stage of the project. Checks focus on geometry, data completeness, coordination, and compliance with the agreed information requirements, supporting reliable verification, issue resolution, and controlled information exchange.
| Check | Definition | Responsible party | Software used | Frequency |
|---|---|---|---|---|
| Visual | Ensure there are no unintended model components and that design intent is followed (e.g., correct families, levels, constraints, and coordination spaces). | Appointed party | {{Software Used for Modelling}} | Weekly |
| Clash | Detect and resolve conflicts between building elements across disciplines, including hard clashes and key clearance/access issues. | Appointed party | {{Software Used for Clash}} | Weekly |
| Standards | Confirm modelling standards are followed (naming, worksets, parameters, classifications, view templates, line styles, levels/grids, and agreed model structure). | Appointed party | {{Software Used for Standards}} | Ongoing / before each exchange |
| Information Integrity | Verify that model information meets the defined Exchange Information Requirements (EIR) — including required attributes, classifications, responsibilities, and status. Record any missing, incomplete, or non-compliant information and assign corrective actions before acceptance. | Lead Appointed party | Plannerly | Before each formal information exchange |
Model coordination confirms that elements fit together. Information verification confirms that the right information has been delivered. The Plannerly verify module is used to verify models and documents against the project’s information requirements, helping teams confirm completeness and accountability before sharing or acceptance.