VISUAL CONTEXT GRAPH

Product context is visual. Figr understands it that way.

Most AI tools treat product work like text. Real product work lives in screens, flows, components, docs, analytics, code constraints, permissions, and decisions people made months ago. Figr's Visual Context Graph connects those signals into a living understanding of your product, so the AI can reason through UX and create design output that fits what already exists.

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THE PROBLEM

Product context is scattered in places AI usually cannot see

A product team may have the answer somewhere.

  • It is in a Figma frame, a support ticket, a PRD comment, a dashboard, a Storybook component, a Slack thread, a product walkthrough, or the memory of a designer who has worked on the product for three years.

  • When that context does not travel into the next UX decision, teams get generic output.

The Visual Context Graph exists because product design is not just a writing task. It is visual, behavioral, historical, and system-dependent.

What the graph connects

Screens and flows

Figr can learn from current screens, product journeys, Figma frames, and live product capture so it understands how users move through the product.

Components and design systems

Tokens, components, variants, states, and usage rules help Figr understand the product's visual language.

Docs and product decisions

PRDs, research notes, workshop docs, specs, change guidelines, and past decisions help explain why the product behaves the way it does.

Analytics and behavior

Analytics files and behavioral notes can give Figr useful clues about where users drop off, what paths matter, and what flows deserve review.

Code & implementation constraints

Storybook, CSS, code context, and component constraints can help mature teams keep product design closer to what the system can support.

Why this changes the output

Changes questions
Changes artifacts
Changes designs

Context changes the questions Figr asks

  • Without product context, AI asks generic questions.
  • With product context, Figr can ask about the actual workflow: the user role, the existing component, the permission state, the known friction, the old decision, the screen that comes next.

Context changes the artifacts Figr creates

  • A generic tool might create a mockup.
  • Figr can create a flow, edge case map, UX review, PRD, test scenarios, and design direction because it has a richer model of the product.

Context changes the design

  • A design grounded in product context can reuse product patterns, match hierarchy, respect constraints, and avoid inventing components when the system already has one.

With you at every stage of the product development process

Context Pod

A place to collect and reuse the product knowledge that normally gets trapped in documents, meetings, and individual memory.

Docs, PRDs & research

Figr helps keep the product knowledge connected to the work it should shape.

Storybook & Code

Figr should help bring component reality into UX work.

Build UX from the product context you already have

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Frequently asked questions

What is a Visual Context Graph?
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It is Figr's way of connecting product context across screens, flows, docs, design systems, recordings, analytics, and decisions so the AI can reason with more than a prompt.

Is this the same as a knowledge base?
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No. A knowledge base stores information. The Visual Context Graph should be framed as usable product understanding that helps Figr act on the context during UX work.

Does the graph stay updated automatically?
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Use careful language here. Figr can build and reuse product context from the sources teams add. Any stronger claim about automatic updates should match current product behavior.