Visual Thinking Playbook

Successful ML and Data Engineering projects aren't successful just because ML and AI are the latest buzz words. They are successful because of the data scientists ability to look, see, imagine and show complex relationships hidden in the data sets.

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March 25, 2025
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8 min
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Why This Matters

  • We live in a world overloaded with text and data, but our brains process visual Information 60,000 times faster than text.
  • Despite this, many professionals rely solely on written communication, making ideas harder to grasp and agree on.
  • The challenge is to develop a structured way to think visually, allowing us to break down complexity, communicate more effectively, and generate better ideas.
  • Our ability to leverage deep learning frameworks and foundational AI models lies in our ability to convey abstract concepts.
  • Sometimes it's easier to just draw a picture and upload it to ChatGPT than it is to try and describe the concept.
For years, I noticed coworkers talking in circles trying to convey abstract concepts in meetings. I found it so frustrating that I sought to find a better way to communicate ideas so I wouldn’t add to the confusion. This lead me to Dan Roam’s books

The Core Idea or Framework

My Visual Thinking Playbook is built on Dan Roam's four-step process that helps turn ideas into clear, impactful visuals:

1. Look – Collect raw visual information.

2. See – Identify meaningful patterns in what you observe.

3. Imagine – Fill in the gaps and connect ideas.

4. Show – Communicate ideas visually for clarity and impact.

"Visual thinking isn’t just about drawing—it’s about structuring information in a way that our brains naturally process. Whether through diagrams, maps, or sketches, this process helps turn messy ideas into clear insights."
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Breaking It Down – The Playbook in Action

Step 1: Look – Collect and Screen Information

  • Collect everything we can look at.
  • Have a place to lay everything out (Mural)
  • Always define a basic coordinate system
  • Scan across the entire dataset to build the big picture.
  • Use contextual pattern recognition to determine what stands out.
  • Find edges and determine the fundamental coordinates of the data.
  • Use precognitive cues - proximity, color, size, orientation, direction and shape.
  • Screen out noise as part of an initial pass - practice visual triage

Step 2: See – Identify Meaningful Patterns

  • Sort through collected visuals and identify recurring structures.
  • Look for relationships, proportions, and gaps in the information.
  • Use the 6Ws framework to categorize insights:
    • Who/What: People, objects, or entities.
    • How Much: Quantities, measurements, or scales.
    • Where: Position in space (maps, layouts).
    • When: Position in time (timelines, sequences).
    • How: Process flows, cause-effect relationships.
    • Why: Deductive reasoning, influences, and motivations.
  • Evaluate the 6W using SQVID
    • Simple vs Elaborate
    • Quality vs Quantity
    • Vision vs Execution
    • Individual Attributes vs Comparison
    • Delta (change) vs Status Quo

Step 3: Imagine – Make Invisible Patterns Visible

  • Connect ideas that don’t seem related at first glance.
  • Look with your eyes closed to see if new connections emerge
  • Use analogy thinking—where have I seen a similar pattern before?
  • Experiment with spatial transformations (flipping, scaling, rotating) to see new insights emerge.

Step 4: Show – Make Ideas Clear with Visual Frameworks

  • Choose the right visual format based on what you want to communicate:
    • Portraits – Who/what problems.
    • Charts – How much problems.
    • Maps – Where things are located.
    • Timelines – When events happen.
    • Flowcharts – How processes work.
    • Multi-variable plots – Why certain relationships exist.
  • Iterate and refine—visuals should evolve with feedback.
  • Present visuals to stakeholders and validate understanding.
"The real power of visual thinking isn’t just in seeing what’s there—it’s in imagining what’s missing and filling in the blanks."

"Visual Thinking means taking advantage of our innate ability to see - both with our eyes and with our mind's eye." —Dan Roam

Tools, Workflows, and Technical Implementation

  • Digital Tools: Mural, Figma, Excalidraw, Whimsical, Mermaid, Obsidian Canvas
  • Analog Tools: Whiteboards, sketchbooks, sticky notes
  • Frameworks: The 6Ws Model, SQVID, 2x2 Grids, Value Chains
  • Visual Structuring Techniques: Grids, layering, color coding

Real-World Applications and Impact

  • Accelerate decision-making by using diagrams instead of lengthy documents.
  • Improve cross-functional alignment by mapping out ideas visually in meetings.
  • Enhance problem-solving through pattern recognition and analogy thinking.

Challenges and Nuances – What to Watch Out For

  • Overcomplicating visuals—The goal is clarity, not artistry.
  • Choosing the wrong format—A chart works for data, but a timeline is better for sequencing.
  • Forgetting to iterate—The first sketch is rarely the best one; refine as needed.
"Visual thinking is not about making things look pretty—it’s about making them clear. A rough sketch that communicates an idea is more valuable than a polished diagram that confuses people."

Closing Thoughts and How to Take Action

  • Start small—sketch one idea in your next meeting instead of writing a paragraph.
  • Use structured frameworks—apply the 6Ws model to organize ideas visually.
  • Develop your visual vocabulary—practice simple diagramming techniques.

References

Learn More

Dan Roam's Books

Visualize Value


Tools

Mural

Obsidian Canvas

Whimsical

Figma

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