Understanding Diversity Analysis
Learn how we measure variety and uniqueness in AI-generated floor plans to ensure you're exploring the full design possibility space.
The Simple Version
Imagine you asked 10 architects to design a 3-bedroom house. Would you want 10 nearly identical designs, or 10 genuinely different approaches?
AI can sometimes get "stuck" generating similar designs. This tool measures how different your generated floor plans actually are from each other.
All plans look similar - same room arrangements, same flow patterns. The AI isn't exploring creative alternatives.
Each plan takes a different approach - varied layouts, room positions, and circulation patterns. More options to choose from!
We give you a diversity score from 0-100%. Higher means more variety. We also show you a scatter plot where each dot is a floor plan - clustered dots mean similar designs, spread out dots mean diverse designs.
What We Analyze
Room Distribution
How rooms are sized and proportioned. Are bedrooms similar sizes, or is there variety?
Circulation Patterns
How you move through the space. Linear hallways vs. open flow vs. central hubs.
Spatial Relationships
Which rooms connect to which. Kitchen next to dining? Bedrooms grouped or separated?
Overall Massing
The shape and footprint. Compact squares, L-shapes, sprawling layouts, or something unique.
Reading the Scatter Plot
The scatter plot is a "map" of your designs. Each dot represents one floor plan, positioned based on its features.
- Dots close together = Similar designs
- Dots spread apart = Diverse designs
- Colored groups (clusters) = Plans that share similar characteristics
If all your dots are in one tight cluster, the AI is stuck in one "design mode." If dots are spread across the space, you're getting genuine variety.