INTERFACE
IMPACT

Research Platform Analyzing AI Transformation in UX/UI Design

We investigate how ChatGPT, Figma AI, and other AI assistants fundamentally transform Interface Designer workflows. Which tasks become automated? Which remain uniquely human? These answers define the future of digital design.

KEY FINDINGS

67%

Routine Tasks Automated

Repetitive design tasks like icon generation, color adjustments, and layout variations are increasingly handled by AI tools. Designers gain time for strategic decisions.

89%

Human Empathy Indispensable

User research, emotional user guidance, and context-dependent problem-solving require human intuition. AI assists but does not replace empathetic design competence.

+142%

Productivity Increase Documented

Designers who strategically deploy AI assistants show measurable productivity gains. Strategic integration into existing workflows proves crucial.

UX/UI Workflow Analysis with AI Integration

AUTOMATED vs. HUMAN

The clear distinction between automatable and genuinely human design tasks shapes the new role distribution in Interface Design.

Automated Tasks

  • Asset Generation: Icons, illustrations, and visual elements created through prompt-based AI systems
  • Layout Variations: Automatic creation of multiple design options based on defined parameters
  • Code Export: Direct conversion of designs into HTML/CSS/React components
  • Responsive Adaptations: Automatic optimization for various screen sizes
  • Accessibility Checks: Contrast verification, alt-text suggestions, and WCAG compliance tests
AI-Powered Design Automation

Human Core Competencies

  • User Research: Empathetic user interviews, observation, and interpretation of complex behavioral patterns
  • Strategic Conception: Development of holistic design systems with brand identity
  • Contextual Problem Solving: Weighing conflicting requirements and ethical implications
  • Stakeholder Communication: Arguing design decisions and mediating across disciplines
  • Innovation and Vision: Creative breakthroughs and developing future interface paradigms
Human Design Competencies

METHODS & DATA FOUNDATION

Our research is based on quantitative workflow analyses and qualitative interviews with UX/UI designers from various industries. Data collection has been ongoing since the introduction of the first design AI assistants.

Quantitative Studies

Time tracking and productivity measurement with 487 designers over 12 months. Tracking automated tasks versus manual work.

Expert Interviews

Structured conversations with Lead Designers and Design Directors to evaluate AI impacts on team structures.

Tool Analysis

Systematic evaluation of ChatGPT, Figma AI, Adobe Firefly, and other AI-powered design tools in practical use.

Longitudinal Data

Long-term observation of career developments and skill shifts among designers in AI transformation.

Research Methodology Interface Design

Primary Data Sources

  • Workflow tracking data from design teams at international technology companies
  • Usage statistics from AI design tools (anonymously aggregated)
  • Academic publications on Human-AI Collaboration in Design
  • Industry surveys from design associations and professional organizations

CONTACT & INQUIRIES

Have questions about our research or want to participate in future studies? Contact the Neueonbureau team.

Address:
Karlsruher Str. 87A
75179 Pforzheim
Germany
Phone:
+49 7231 38960
Email:
research@neueonbureau.com