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Product-Aware Designing

Generic design AI gives you generic results. Figr creates designs that feel like they’ve always belonged in your product.

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The Context Problem

Most AI design tools work like this:
1

Describe Your Need

“Create a user dashboard for our analytics platform”
2

Generic Output

Beautiful dashboard with generic charts, standard layout, placeholder data
3

Reality Check

Doesn’t match your navigation, uses wrong colors, missing key features your users need
4

Manual Rework

Spend hours adapting the generic design to your actual product
This is backwards. You shouldn’t adapt AI output to your product. AI should adapt to your product.

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How Figr Builds Product Awareness

  • Screen Sharing
  • Design System Upload
  • User Research Integration
  • Constraint Learning
Share your screen and navigate your actual product. Figr watches and learns:
  • Your navigation patterns and hierarchy
  • How forms actually work in your product
  • Where your calls-to-action typically appear
  • What your error states look like
  • How data is typically displayed
Figr learning from screen sharing session

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Context in Action

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Before: Generic AI Dashboard

Prompt: "Create a user dashboard"
Result: Standard 3-column layout, generic charts, 
        placeholder navigation

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After: Product-Aware Dashboard

Context: SaaS analytics tool, mobile-first users, 
         complex data hierarchies
Result: Custom visualization matching your data structure,
        navigation that fits your existing app,
        progressive disclosure based on user research

Generic Design

  • Standard layout patterns
  • Placeholder content
  • Generic color schemes
  • One-size-fits-all components

Product-Aware Design

  • Your established patterns
  • Real content structure
  • Your actual design system
  • Components that match your codebase

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Memory Across Sessions

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What Gets Remembered

  • How your navigation actually works
  • Where important actions are typically placed
  • Your content hierarchy and information architecture
  • Error handling and feedback patterns
  • Which layouts convert better
  • Where users typically get stuck
  • What information they look for first
  • How they navigate between features
  • Component limitations in your codebase
  • Performance requirements
  • Browser support needs
  • Accessibility requirements
  • Why certain patterns were chosen
  • What alternatives were considered
  • Results from A/B tests
  • Feedback from user testing

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Building Your Product Context

1

Initial Product Tour

Share your screen and give Figr a comprehensive tour of your product. Click through major flows, show different user types, demonstrate edge cases.Time investment: 15-20 minutes once Benefit: Every future design understands your product deeply
2

Upload Core Assets

Import your design system, brand guidelines, user research, and any technical documentation.What to include:
  • Design tokens (colors, typography, spacing)
  • Component library or style guide
  • User personas and research findings
  • Analytics and conversion data
3

Define Constraints

Tell Figr about your technical limitations, business requirements, and user needs.Examples:
  • “Mobile users are 70% of our traffic”
  • “Enterprise features need approval workflows”
  • “Page load times must stay under 2 seconds”
4

Iterate and Refine

As Figr creates designs, provide feedback about what works and what doesn’t. This builds even deeper product understanding.

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The Compound Effect

The more Figr knows about your product, the better every design becomes:
Graph showing how design quality improves with more product context
Week 1: Designs need significant modification to fit your product Month 1: Designs require minor adjustments
Month 3: Designs ship with minimal changes Month 6: Figr anticipates needs you haven’t even articulated

Ready to build your product context?

Start with a comprehensive product tour to establish the foundation for all future designs.Begin Account Setup →
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