Design with AI
For designers and design teams deciding where AI fits in their practice: a map of documented AI applications across UX and digital product design. Sourced from practitioner accounts, published tools, and academic research, each describes the value it creates, the risks of AI use, and the expertise and fluency required for quality.
71 USE CASES · 6 PHASES · 9 JOBS · 10 RISKS · 11 EXPERTISES · 4 FLUENCIES
Explore use cases through these 9 common needs.
WHAT IS YOUR JOB-TO-BE-DONE?
01
Orient before designing
When starting a project and you need to learn a domain quickly
02
Run effective research
When planning or running fieldwork with users, customers, or stakeholders
03
Transform data into insight
When research is done, and you must say "What it means..."
04
Define problem, align team
When you have insights and intuition, and need to set your course
05
Explore solutions
Once you have chosen the problem, and need to open what's possible
06
Build something testable
When you have a direction and need to make it real enough to learn from
07
Catch problems early
Use when validating, reviewing, or auditing design work
08
Get it out the door
When finalising design for handover to engineering
Specialist · 09
Evolve the design system
Use when maintaining, scaling, or governing a production design system
BLACK-BOX.DESIGN · DESIGN WITH AI