Design Dialects: How Flexible Systems Create More Human Interfaces
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Design Dialects: How Flexible Systems Create More Human Interfaces

Tech Essays Reporter
3 min read

Moving beyond rigid design systems to embrace context-specific adaptations that preserve core principles while serving diverse user needs.

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Language is not merely a collection of grammatical rules and vocabulary. As linguist Kenneth L. Pike observed, it's "a totally coherent system bound to context and behavior." This fundamental truth holds profound implications for digital design. Just as spoken languages develop regional accents that adapt to local contexts while preserving mutual intelligibility, our design systems must evolve beyond rigid consistency to embrace dialects – systematic adaptations that serve specific user needs without abandoning core principles.

The Failure of Perfect Consistency

The promise of design systems was seductive: standardized components would accelerate development and create unified experiences. Yet as products scale and user contexts diversify, that promise often becomes a prison. Teams drown in exception requests while designers spend more time defending style guides than solving user problems. At Booking.com, where rigorous A/B testing challenged traditional notions of visual consistency, a crucial lesson emerged: solved user problems deliver real ROI, not pixel-perfect uniformity.

When Systems Meet Reality: The Warehouse Test

The tension became painfully clear at Shopify during development of an app for warehouse pickers. The Polaris design system – Shopify's meticulously crafted design language – performed flawlessly for merchants working on laptops. But when deployed in warehouses using shared Android scanners, the results were catastrophic:

  • 0% task completion with standard components
  • White backgrounds creating glare in dim aisles
  • 44px tap targets invisible to gloved fingers
  • Sentence-case labels confusing non-native English speakers

Faced with this reality, the team made a radical choice: instead of abandoning Polaris completely, they taught it to speak a new dialect.

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Crafting a Design Dialect

The warehouse dialect emerged through systematic adaptation within Polaris' core principles of clarity, efficiency and consistency:

Constraint Fluent Adaptation User Rationale
Glare & low light Dark surfaces + light text Reduce glare on low-DPI screens
Gloves & haste 90px tap targets Accommodate thick gloves
Multilingual users Single-task screens Reduce cognitive load

The results transformed the user experience: task completion soared to 100%, onboarding time dropped from three weeks to one shift. This wasn't mere customization; it was linguistic evolution within a shared design language.

The Flexibility Framework

At Atlassian, this concept evolved into a structured approach called the Flexibility Framework. Rather than handling exceptions through approval requests, they categorized components by adaptability:

  1. Consistent: Adopted unchanged (e.g., global navigation)
  2. Opinionated: Adapted within defined boundaries (e.g., form fields)
  3. Flexible: Extended freely while preserving behavior (e.g., contextual actions)

This tiered system provided clear guidelines while accommodating necessary variations. During Jira's navigation redesign, product teams could immediately identify where innovation was encouraged versus where consistency proved essential.

Practical Implementation

Implementing design dialects requires thoughtful governance:

  1. Document deviations in dedicated files (e.g., dialects/warehouse.md) with screenshots and rationale
  2. Promote shared patterns when multiple teams independently adopt similar dialects
  3. Deprecate thoughtfully using feature flags and migration paths rather than abrupt removals

The decision process follows a simple ladder:

  • Good: Use existing components
  • Better: Stretch components slightly and contribute improvements
  • Best: Prototype ideal solutions and update the system

Starting Your First Dialect

Begin with one broken user flow where rigid consistency impedes task completion:

  1. Identify a specific context where standard patterns fail (e.g., mobile constraints, accessibility needs)
  2. Focus on behavioral adaptations rather than aesthetic deviations
  3. Quantify impact through task completion rates and time savings

As Google demonstrates with Gmail, Drive, and Maps – products that share principles without cloning components – unity needn't require uniformity. When brand consistency clashes with user needs, the choice becomes clear: side with the person trying to accomplish their task.

The warehouse workers who went from frustration to efficiency didn't care about button colors matching the style guide. They cared that the interface finally understood their language. Our design systems must become living languages – evolving, adapting, and developing accents that serve human needs above aesthetic ideals.

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