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Idea

Add more advanced data-driven visuals and diagrams to Lucid

Related products:Lucid Suite
  • December 24, 2025
  • 1 reply
  • 35 views

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Today’s data-driven teams are forced to choose between the flexibility of Lucid and the analytical power of Power BI. We can bridge this gap by evolving Lucid into a high-fidelity visual intelligence platform.

The Problem: The "Basic Visual" Ceiling

Currently, data in Lucid is primarily used to update text or simple colors on basic shapes. This is insufficient for modern organizations because:

  • Low Information Density: We lack the sophisticated visualizations (Sankey diagrams, heatmaps, radar charts, treemaps) required to communicate complex datasets.

  • Limited Analytical Depth: Unlike Power BI, Lucid cannot perform complex data aggregations or "slice and dice" data visually on the canvas.

  • Static Aesthetics: Our visuals lack the "polished" feel of professional BI dashboards, making them less effective for executive-level reporting.

The Idea: Advanced Data-Driven Visuals

Turn the Lucid canvas into a Spatial BI layer. We will introduce a library of "Smart Visuals" that carry the analytical power of Power BI with the collaborative freedom of a whiteboards:

  • Dynamic Relationship Mapping: Beyond simple lines, use Sankey Diagrams to show flow volumes (e.g., budget spend or user traffic) and Dependency Maps that automatically cluster based on risk.

  • Spatial Heatmapping: Overlay data onto custom shapes or floorplans. Imagine a warehouse layout where aisles turn red based on inventory "out-of-stock" data from an API.

  • Multi-Dimensional Shapes: Create shapes that function as mini-dashboards—incorporating sparklines, progress rings, and status indicators directly into the diagram nodes.

  • Conditional Layout Engine: The board shouldn't just change color; it should restructure itself. If a project moves from "Planning" to "Execution," the visual layout should automatically shift from a Mind Map to a Timeline based on the data.

The Impact By moving toward BI-grade visualizations, Lucid stops being a "sketchpad" and becomes the Executive Command Center. We aren't just showing what the plan is; we are showing the performance of that plan with a level of visual sophistication that standard BI tools cannot match.

December 30, 2025

Hi ​@SharmilShah, thanks for your detailed feedback! We’re very interested in your feedback and committed to continually improving our products. 

I did want to provide two resources based on your ideas for dependency mapping and sankey diagrams. 

  • You can currently visualize dependencies for Azure DevOps and Jira Cards in Lucidspark using dependency mapping. I recommend reading through Dependency mapping in Lucid for more information.
  • We do offer a wide range of templates, and searching our Template Gallery, here is a Sankey Diagram Template that may be useful.

We encourage anyone else who’s interested in this to upvote this post and share any additional details about your use case or what you’d like to see in this experience. 

For more information about how we manage feedback in this community, please take a look at this post:

 

Comments

Ambar D
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  • Lucid community team
  • December 30, 2025

Hi ​@SharmilShah, thanks for your detailed feedback! We’re very interested in your feedback and committed to continually improving our products. 

I did want to provide two resources based on your ideas for dependency mapping and sankey diagrams. 

  • You can currently visualize dependencies for Azure DevOps and Jira Cards in Lucidspark using dependency mapping. I recommend reading through Dependency mapping in Lucid for more information.
  • We do offer a wide range of templates, and searching our Template Gallery, here is a Sankey Diagram Template that may be useful.

We encourage anyone else who’s interested in this to upvote this post and share any additional details about your use case or what you’d like to see in this experience. 

For more information about how we manage feedback in this community, please take a look at this post: