It is beyond doubt that road geometry is crucial for many reasons, such as safety, cost-efficiency, and long-term operability. There has been a considerable demand for engineering surveying during and after road construction to check and compare the real geometry to the planned one. Point cloud techniques, in particular, terrestrial laser scanning (TLS), drone photogrammetry, aerial laser scanning (ALS) and mobile mapping systems (MMS), have come into focus over recent years, primarily due to the extraordinary resolution of data capturing and efficiency of field work. Point clouds can be compared directly to 3D models of the planned road to determine the deviations between existing and planned geometry. Not to mention other applications, like progress reports in Building Information Modelling (BIM). This paper presents a flowchart for evaluating and documenting road height and cross-slope quality using a point cloud with an example to demonstrate how to perform quality assurance for standards and specifications. The proposed documentation, on the one hand, gives an overview of the general quality; on the other hand, it focuses on problematic parts and details.