HAX Toolkit
Design Library
Guidelines
Design Library
Design Patterns
Workbook
Playbook
About
Share ideas
Microsoft Security
Azure
Dynamics 365
Microsoft 365
Microsoft Teams
Windows 365
Microsoft AI
Azure Space
Mixed reality
Microsoft HoloLens
Microsoft Viva
Quantum computing
Sustainability
Education
Automotive
Financial services
Government
Healthcare
Manufacturing
Retail
Find a partner
Become a partner
Partner Network
Microsoft Marketplace
Software companies
Blog
Microsoft Advertising
Developer Center
Documentation
Events
Licensing
Microsoft Learn
Microsoft Research
View Sitemap
HAX Design Library
Interactive collection of the 18 Guidelines for Human-AI Interaction, with design patterns for applying them and examples.
Guideline 1 > Pattern 1A
Pattern 1A: Introductory blurb
G1: Make clear what the system can do.
Advertising
Chatbot
E-commerce
Email
Health and wellness
Guideline 1 > Pattern 1B
Pattern 1B: Use explanation (G11) patterns
G1: Make clear what the system can do.
Advertising
Chatbot
E-commerce
Email
Health and wellness
Guideline 1 > Pattern 1C
Pattern 1C: Expose system controls
G1: Make clear what the system can do.
Advertising
Chatbot
E-commerce
Email
Health and wellness
Guideline 1 > Pattern 1E
Pattern 1E: Show a set of system outputs
G1: Make clear what the system can do.
Advertising
Chatbot
E-commerce
Email
Health and wellness
Guideline 2 > Pattern 2A
Pattern 2A: Match the level of precision in UI communication with the system performance – Language
G2: Make clear how well the system can do what it can do.
Advertising
Chatbot
E-commerce
Email
Health and wellness
Guideline 2 > Pattern 2B
Pattern 2B: Match the level of precision in UI communication with the system performance – Numbers
G2: Make clear how well the system can do what it can do.
Advertising
Chatbot
E-commerce
Email
Health and wellness
Guideline 2 > Pattern 2C
Pattern 2C: Report system performance information
G2: Make clear how well the system can do what it can do.
Advertising
Chatbot
E-commerce
Email
Health and wellness
Guideline 2 > Pattern 2D
Pattern 2D: Provide low performance alerts
G2: Make clear how well the system can do what it can do.
Advertising
Chatbot
E-commerce
Email
Health and wellness
Guideline 11 > Pattern 11A
Pattern 11A: Local explanations
G11: Make clear why the system did what it did.
Advertising
Chatbot
E-commerce
Email
Health and wellness
Guideline 11 > Pattern 11B
Pattern 11B: Global explanations
G11: Make clear why the system did what it did.
Advertising
Chatbot
E-commerce
Email
Health and wellness
Guideline 11 > Pattern 11B > Example
Instagram | 11B: Global explanations
Guideline 11 > Pattern 11C
Pattern 11C: Present properties of system outputs
G11: Make clear why the system did what it did.
Advertising
Chatbot
E-commerce
Email
Health and wellness
Guideline 11 > Pattern 11D
Pattern 11D: Map system input attributes to system outputs
G11: Make clear why the system did what it did.
Advertising
Chatbot
E-commerce
Email
Health and wellness
Guideline 11 > Pattern 11E
Pattern 11E: Map user behaviors to system outputs
G11: Make clear why the system did what it did.
Advertising
Chatbot
E-commerce
Email
Health and wellness
Guideline 11 > Pattern 11F
Pattern 11F: Example-based explanations
G11: Make clear why the system did what it did.
Advertising
Chatbot
E-commerce
Email
Health and wellness
Guideline 11 > Pattern 11G
Pattern 11G: “What if?” explanations
G11: Make clear why the system did what it did.
Advertising
Chatbot
E-commerce
Email
Health and wellness
Guideline 16 > Pattern 16A
Pattern 16A: Feedforward: Convey the consequences of user actions before the user takes action
G16: Convey the consequences of user actions.
Advertising
Chatbot
E-commerce
Email
Health and wellness
Guideline 16 > Pattern 16B
Pattern 16B: Feedback: Convey the consequences of user actions after the user takes action
G16: Convey the consequences of user actions.
Advertising
Chatbot
E-commerce
Email
Health and wellness
Guideline 16 > Pattern 16C
Pattern 16C: Remind of consequences of a past action and ask for reconfirmation
G16: Convey the consequences of user actions.
Advertising
Chatbot
E-commerce
Email
Health and wellness
Guideline 16 > Pattern 16D
Pattern 16D: Convey the consequences of user action in help and documentation
G16: Convey the consequences of user actions.
Advertising
Chatbot
E-commerce
Email
Health and wellness
Guideline 16 > Pattern 16D > Example
Instagram | 16D: Convey the consequences of user action in help and documentation
English (United States)
Your Privacy Choices Opt-Out Icon
Your Privacy Choices
Your Privacy Choices Opt-Out Icon
Your Privacy Choices
Consumer Health Privacy
Sitemap
Contact Microsoft
Privacy
Manage cookies
Terms of use
Trademarks
Safety & eco
Recycling
About our ads