Working link to your Revit cloud model in Forma Data Management
https://acc.autodesk.com/docs/files/projects/1ce65301-5ad5-4fde-ac34-5fd901a347d0?folderUrn=urn%3Aadsk.wipprod%3Afs.folder%3Aco.83ju34HRQ_qVWzQiX_evyg&viewModel=detail&moduleId=folders
Working link to your Individual Forma Board
PDF sheet set, 30 by 42 inches (E1 size)
A screenshot of Forma Data Management showing your two published versions side by side for comparison.
I don’t have an older version because I didn't save it, but I have a screenshot. The older plan was switched to the new one because of layout. I liked how the bed faces a wall in the new version than facing the cooking and kitchen utilities.
Design memo of 250 to 400 words: what your calculated field computes and what it told you, and what you learned about your own design from having to document it.
The calculated field I created determines the number of occupants for each room based on its area and occupancy factor. By automating this calculation in Revit, I could evaluate the expected occupancy of individual spaces and better understand how the building accommodates its residents. The room schedule organizes this information in one place, making it easier to review the relationship between room sizes and expected occupants.
The occupancy schedule showed that the number of occupants varies depending on the size and type of residential unit. The studio units accommodate approximately two to three occupants, while the one-bedroom units generally accommodate three to four occupants. The two-bedroom units accommodate approximately two to five occupants, and the three-bedroom unit accommodates six occupants. These results helped me understand how the residential layout relates to the building's expected population. They also highlighted the importance of distinguishing residential spaces from corridors and service spaces when evaluating occupancy.
I also created a window schedule to document the dimensions, types, and quantities of windows throughout the building. The schedule identifies four window configurations: 2'-6" by 6'-0", 5'-0" by 4'-6", 5'-0" by 6'-0", and 8'-0" by 8'-0". The corresponding quantities are 68, 6, 140, and 48, respectively, for a total of 262 windows. This information helped me understand the distribution of window types across the project. The 5'-0" by 6'-0" window is the most common, accounting for 140 windows, while the 5'-0" by 4'-6" window appears only six times. Organizing these quantities makes it easier to coordinate window selection, estimate material needs, and communicate design information.
Documenting both schedules taught me that a BIM model is more than a three-dimensional representation of a building. It can also serve as a source of measurable information that supports design decisions. Calculating occupancy encouraged me to consider how people use each space, while scheduling windows helped me recognize the importance of consistent dimensions and accurate component counts. I also learned that schedules are only as reliable as their underlying model data. Incorrect room areas, occupancy factors, window dimensions, or family classifications could produce misleading results. Overall, this exercise showed me how structured documentation can improve design review, coordination, and the practical evaluation of my own design.