This framework emerged from Intuit's struggle with component classification debates that were slowing down their design system contribution process.
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Core Insight
"I built a decision flowchart that eliminated 80% of classification questions" - Kristen Singh
A simple three-question framework can eliminate subjective debates about whether something qualifies as a component, pattern, or experimental element.
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The Decision Framework
Three questions that cut through classification debates:
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1. Is it reusable?
Question: Can this be used in multiple contexts across different products or features?
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2. Does it solve user problems?
Question: Does this address real user needs rather than just aesthetic preferences?
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3. Experimental or ready?
Question: Is this proven in production or still being validated?
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Real Impact at Intuit
Before the framework:
Teams spent hours in meetings debating component classification
Inconsistent decisions across different contributors
Bottlenecks in the contribution process
Subjective arguments based on personal preferences
After implementation:
80% reduction in classification questions
Faster decision-making process
Self-service capability for contributors
Consistent standards across teams
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Why This Framework Works
✓ Eliminates subjective debates - Clear criteria removes personal opinions from decisions
✓ Scales across teams - Same framework works for all contributors regardless of experience
✓ Speeds up decision-making - No more endless meetings about classification
✓ Enables self-service - Teams can classify without constant design system team approval
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Key Speaker Insight
Kristen Singh (Intuit): "I built a decision flowchart that helped our team determine if something is a component, pattern, experimental, or ready for production. It eliminated 80% of the questions we were getting."
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When to Apply This Framework
Teams struggling with component vs pattern classification
Design system teams receiving frequent classification questions
Organizations with multiple contributors creating system elements
Large teams where classification decisions are slowing down work
Teams wanting to enable self-service contribution workflows
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Framework in Action
Example: Search suggestions dropdown
❓ Is it reusable? → YES (used in search, filters, navigation)
❓ Does it solve user problems? → YES (helps users find content faster)
❓ Experimental or ready? → READY (proven in multiple products)
🎯 RESULT: COMPONENT
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Alternative Approaches
Centralized Approval Process
Provides quality control and consistency
Creates bottlenecks and slows down contribution velocity
Subjective Judgment Calls
Fast decision-making in the moment
Inconsistent results across different team members and time periods
No Classification Guidelines
Maximum flexibility for contributors
Maximum confusion and inconsistent system architecture
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Implementation Tips
Document the framework clearly - Make the questions and criteria easily accessible
Train contributors - Ensure everyone understands how to apply the framework
Provide examples - Show the framework applied to real scenarios
Iterate based on feedback - Refine questions if edge cases emerge
Props vs. Slots - Technical decisions about component flexibility and architecture
Takeaway: Clear decision frameworks aren't about restricting creativity—they're about enabling teams to move faster with confidence by removing subjective debates from the contribution process.
Source: Craft Across: Documentation in Design Systems • August 7, 2025
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Component Classification Decision Framework
Session: Craft Across: Documentation in Design Systems
Date: August 7, 2025
Key Contributor: Kristen Singh (Intuit)
This framework emerged from Intuit's struggle with component classification debates that were slowing down their design system contribution process.
"I built a decision flowchart that eliminated 80% of classification questions" - Kristen Singh
A simple three-question framework can eliminate subjective debates about whether something qualifies as a component, pattern, or experimental element.
Three questions that cut through classification debates:
Question: Can this be used in multiple contexts across different products or features?
Question: Does this address real user needs rather than just aesthetic preferences?
Question: Is this proven in production or still being validated?
Before the framework:
After implementation:
Kristen Singh (Intuit): "I built a decision flowchart that helped our team determine if something is a component, pattern, experimental, or ready for production. It eliminated 80% of the questions we were getting."
Example: Search suggestions dropdown
❓ Is it reusable? → YES (used in search, filters, navigation)
❓ Does it solve user problems? → YES (helps users find content faster)
❓ Experimental or ready? → READY (proven in multiple products)
🎯 RESULT: COMPONENT
Centralized Approval Process
Subjective Judgment Calls
No Classification Guidelines
Takeaway: Clear decision frameworks aren't about restricting creativity—they're about enabling teams to move faster with confidence by removing subjective debates from the contribution process.
Source: Craft Across: Documentation in Design Systems • August 7, 2025