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| schema: foundry-doc-v1 | schema: foundry-doc-v1 |
| title: "Location intelligence UX design philosophy" | title: "Location intelligence UX design philosophy" |
| slug: location-intelligence-ux | slug: location-intelligence-ux |
| category: patterns | category: patterns |
| type: topic | type: topic |
| quality: complete | quality: complete |
| short_description: "The Location Intelligence interface uses a Conclusion-First design philosophy — rendering ranked tier conclusions rather than individual data points — so a user comparing markets at a national zoom level sees the most defensible commercial nodes immediately, and only drills into individual operators when a node has earned the attention." | short_description: "The Location Intelligence interface uses a Conclusion-First design philosophy — rendering ranked tier conclusions rather than individual data points — so a user comparing markets at a national zoom level sees the most defensible commercial nodes immediately, and only drills into individual operators when a node has earned the attention." |
| status: active | status: active |
| audience: public | audience: public |
| bcsc_class: no-disclosure-implication | bcsc_class: no-disclosure-implication |
| language_protocol: PROSE-TOPIC | language_protocol: PROSE-TOPIC |
| last_edited: 2026-05-08 | last_edited: 2026-05-08 |
| editor: pointsav-engineering | editor: pointsav-engineering |
| paired_with: location-intelligence-ux.es.md | paired_with: location-intelligence-ux.es.md |
| --- | --- |
| The PointSav Location Intelligence interface uses a Conclusion-First design philosophy — rendering ranked tier conclusions rather than individual data points — so a user comparing markets at a national zoom level sees the most defensible commercial nodes immediately, and only drills into individual operators when a node has earned the attention. The interface draws inspiration from professional-grade spatial platforms where complex multi-parameter models are rendered as intuitive layered navigation surfaces rather than legend-driven dot maps. | The PointSav Location Intelligence interface uses a Conclusion-First design philosophy — rendering ranked tier conclusions rather than individual data points — so a user comparing markets at a national zoom level sees the most defensible commercial nodes immediately, and only drills into individual operators when a node has earned the attention. The interface draws inspiration from professional-grade spatial platforms where complex multi-parameter models are rendered as intuitive layered navigation surfaces rather than legend-driven dot maps. |
| ## Quality Benchmark: The Professional Map | ## Quality Benchmark: The Professional Map |
| The interface draws inspiration from professional-grade spatial platforms (e.g., meteoblue.com), where complex multi-parameter models are rendered as intuitive, layered navigation surfaces. Key design patterns adopted from this benchmark include: | The interface draws inspiration from professional-grade spatial platforms (e.g., meteoblue.com), where complex multi-parameter models are rendered as intuitive, layered navigation surfaces. Key design patterns adopted from this benchmark include: |
| - **First-Class Layer Toggles:** Analytical layers (Clusters, Catchment, OD Study) are presented as primary navigation controls, not secondary legend items. | - **First-Class Layer Toggles:** Analytical layers (Clusters, Catchment, OD Study) are presented as primary navigation controls, not secondary legend items. |
| - **Decision-Driven Visualization:** The map renders conclusions (e.g., "This node is Tier 5") rather than individual data points, allowing for rapid cross-market comparisons. | - **Decision-Driven Visualization:** The map renders conclusions (e.g., "This node is Tier 5") rather than individual data points, allowing for rapid cross-market comparisons. |
| - **Scale-Adaptive Legibility:** Visual detail adapts dynamically to zoom level, ensuring a coherent national overview without sacrificing street-level precision. | - **Scale-Adaptive Legibility:** Visual detail adapts dynamically to zoom level, ensuring a coherent national overview without sacrificing street-level precision. |
| ## Design Differentiation: Cluster-Grade-as-Primary-Unit | ## Design Differentiation: Cluster-Grade-as-Primary-Unit |
| Unlike commercial GIS products that default to individual "dots on a map," the PointSav platform uses **Cluster Grade** as the primary visual and analytical unit. This differentiation represents a core Leapfrog 2030 design principle: | Unlike commercial GIS products that default to individual "dots on a map," the PointSav platform uses **Cluster Grade** as the primary visual and analytical unit. This differentiation represents a core Leapfrog 2030 design principle: |
| 1. **Confidence Ramp:** Sites are encoded using a single-hue color ramp (pale to deep amber). Darker, larger markers indicate higher levels of capital-validated convergence. | 1. **Confidence Ramp:** Sites are encoded using a single-hue color ramp (pale to deep amber). Darker, larger markers indicate higher levels of capital-validated convergence. |
| 2. **Structural Guardrails:** The interface enforces a strict visual hierarchy where Tier 5 and Tier 4 nodes dominate the national view, guiding the user toward the most defensible commercial nodes. | 2. **Structural Guardrails:** The interface enforces a strict visual hierarchy where Tier 5 and Tier 4 nodes dominate the national view, guiding the user toward the most defensible commercial nodes. |
| 3. **Contextual index-cards:** Clicking a cluster activates a side-drawer (not a modal) that provides immediate municipal ranking, operator chips, and institutional support counts without losing map context. | 3. **Contextual index-cards:** Clicking a cluster activates a side-drawer (not a modal) that provides immediate municipal ranking, operator chips, and institutional support counts without losing map context. |
| ## Component Architecture | ## Component Architecture |
| The GIS surface uses a standardized component set designed for rapid re-provisioning: | The GIS surface uses a standardized component set designed for rapid re-provisioning: |
| - **cluster-grade-marker:** A five-state vector symbol with built-in accessibility labeling (D1-D5). | - **cluster-grade-marker:** A five-state vector symbol with built-in accessibility labeling (D1-D5). |
| - **location-index-card:** A responsive, data-dense drawer for cluster-level metadata. | - **location-index-card:** A responsive, data-dense drawer for cluster-level metadata. |
| - **map-layer-controls:** A consistent UI panel for managing the three-layer architecture. | - **map-layer-controls:** A consistent UI panel for managing the three-layer architecture. |