Frame Room and Space Analysis
This case study turns Revit and IFC room data into an interactive Power BI review for areas, occupancy, utilization, departments, and room types. Frame provides the structured model dataset and connects it to a report that combines tables, charts, 2D floor plans, and a color-coded 3D model. The project brief is joined to model rooms so the team can compare designed spaces with required areas and occupancy targets. Selecting a room, department, chart segment, or model element cross-filters the complete report, letting designers and reviewers move from portfolio-level metrics to the exact room or floor plan that needs attention.
Key Facts
View key facts for "Frame Room and Space Analysis".
Business Impact
- Rooms checked against the brief
- 2D and 3D views stay connected
- Faster space-program reviews
Client Name
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Tools Used in the Case Study
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Frame
Connect BIM models to ready-to-use Power BI dashboards, Excel workflows, and interactive 3D.
User Experience
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Why this tool/tech was selected
Frame was chosen to move room analysis beyond a static area schedule. The team needed to compare live model rooms with the project brief while preserving the visual context required by architects, planners, and client reviewers. Frame structures room properties from Revit or IFC and makes them available to Power BI, where they can be joined to target areas, occupancy requirements, department codes, and other planning information. The report can present the same selection in charts, tables, 2D plans, and 3D, which means different stakeholders can review the information in the representation they understand best without creating separate datasets for each view.
Challenges the Client Faced before
The team needed to identify rooms that had drifted from the brief, compare multiple levels consistently, and keep area and occupancy reviews aligned with the latest model. Static schedules provided limited visual context and became stale quickly.
The previous method used
The previous workflow relied on exported room schedules, manually maintained brief spreadsheets, and separate drawing or model reviews. Each update required another export and a new reconciliation between room names, areas, departments, and target values.
Time / Money saved & the Business Impact.
The completed workflow gives design and planning teams one place to review room quantities, areas, occupancy, utilization, and compliance with the brief. Because the dataset comes from the model, changes can be refreshed instead of copied into a new spreadsheet for every review. Cross-filtering connects metrics to rooms in both floor plans and the 3D model, reducing the effort needed to locate exceptions and explain them to stakeholders. The approach also creates a repeatable reporting pattern across levels and departments, supports clearer design decisions, and keeps model geometry and room data together throughout the review rather than splitting them into disconnected documents.
Customer Quote
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Original Case Study
Additional Information
Built from Frame’s Starter template by filtering the BIM dataset to rooms and joining the project brief through stable room identifiers.
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