HAX Design Library

Interactive collection of the 18 Guidelines for Human-AI Interaction, with design patterns for applying them and examples.

Guideline 1

Guideline 1

Make clear what the system can do

Help the user understand what the AI system is capable of doing.
Guideline 1 > Pattern 1A > Example

Copilot in PowerPoint | 1A: Introductory blurb

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Guideline 1 > Pattern 1A > Example

Copilot in Word | 1A: Introductory blurb

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Guideline 1 > Pattern 1A > Example

D365 Marketing | 1A: Introductory blurb

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Guideline 1 > Pattern 1A > Example

Outlook | 1A: Introductory blurb and G17: Provide global controls

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Guideline 1 > Pattern 1A > Example

Semantic Scholar | 1A: Introductory blurb

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Guideline 1 > Pattern 1A > Example

Microsoft Word | 1A: Introductory blurb

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Guideline 1 > Pattern 1B > Example

Viva Learning | 1B: Use explanation (G11) patterns

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Guideline 1 > Pattern 1B > Example

Amazon | 1B: Use explanation (G11) patterns

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Guideline 1 > Pattern 1B > Example

Gmail | 1B: Use explanation (G11) patterns

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Guideline 1 > Pattern 1C > Example

Copilot in PowerPoint | 1C: Expose system controls

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Guideline 1 > Pattern 1C > Example

Viva Topics | 1C: Expose system controls

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Guideline 1 > Pattern 1C > Example

Viva Topics | 1C: Expose system controls

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Guideline 1 > Pattern 1C > Example

Google Photos | 1C: Expose system controls

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Guideline 1 > Pattern 1C > Example

Bing Maps | 1C: Expose system controls

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Guideline 1 > Pattern 1D > Example

M365 Chat | 1D: Make clear what the system can do

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Guideline 1 > Pattern 1D > Example

Copilot in PowerPoint | 1D: Demonstrate possible system inputs

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Guideline 1 > Pattern 1D > Example

Business Chat | 1D: Demonstrate possible system inputs

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Guideline 1 > Pattern 1D > Example

Google Maps | 1D: Demonstrate possible system inputs

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Guideline 1 > Pattern 1D > Example

Bing | 1D: Demonstrate possible system inputs

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Guideline 1 > Pattern 1E > Example

Word Online | 1E: Show a set of system outputs

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Guideline 1 > Pattern 1E > Example

Google Maps | 1E: Show a set of system outputs

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Guideline 1 > Pattern 1E > Example

PowerPoint | 1E: Show a set of system outputs

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Guideline 1 > Example

Notion | G1: Make clear what the system can do

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Guideline 1 > Example

Business Chat | G1: Make clear what the system can do

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Guideline 1 > Example

Copilot in Excel | G1: Make clear what the system can do

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Guideline 4

Guideline 4

Show contextually relevant information

Display information relevant to the user’s current task and environment.
Guideline 4 > Example

Copilot in Word | G4: Show contextually relevant information

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Guideline 4 > Example

Business Chat | G4: Show contextually relevant information

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Guideline 4 > Example

Viva Topics – G4: Show contextually relevant information

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Guideline 4 > Example

Viva Topics | G4: Show contextually relevant information

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Guideline 4 > Example

Microsoft Word | G4: Show contextually relevant information

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Guideline 4 > Example

Google Search | G4: Show contextually relevant information

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Guideline 4 > Example

Walmart.com | G4: Show contextually relevant information

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Guideline 9

Guideline 9

Support efficient correction

Make it easy to edit, refine, or recover when the AI system is wrong.
Guideline 9 > Pattern 9A > Example

Viva Topics | 9A: Switch classification decisions

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Guideline 9 > Pattern 9A > Example

Google Photos | 9A: Switch classification decisions

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Guideline 9 > Pattern 9A > Example

Gmail | 9A: Switch classification decisions

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Guideline 9 > Pattern 9B > Example

Copilot in PowerPoint | 9B: Rich and detailed edits

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Guideline 9 > Pattern 9B > Example

Notion | 9B: Rich and detailed edits

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Guideline 9 > Pattern 9B > Example

Copilot in Outlook | 9B: Rich and detailed edits

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Guideline 9 > Pattern 9B > Example

Copilot in Word | 9B: Rich and detailed edits

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Guideline 9 > Pattern 9B > Example

D365 Customer Service | 9B: Rich and detailed edits

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Guideline 9 > Pattern 9B > Example

Nichesss | 9B: Rich and detailed edits

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Guideline 9 > Pattern 9B > Example

LinkedIn | 9B: Rich and detailed edits

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Guideline 9 > Pattern 9B > Example

Google Maps | 9B: Rich and detailed edits

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Guideline 9 > Pattern 9B > Example

Apple Photos | 9B: Rich and detailed edits

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Guideline 9 > Pattern 9C > Example

Bing Search | 9C: Undo automated actions

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Guideline 9 > Pattern 9D > Example

Instagram | 9D: Do G9 through G15

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Guideline 9 > Pattern 9D > Example

Google Photos | 9D: Do G9 through G15

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Guideline 9 > Pattern 9E > Example

Outlook | 9E: Batch-editing data

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Guideline 9 > Pattern 9E > Example

Google Photos | 9E: Batch-editing data

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Guideline 9 > Pattern 9E > Example

Gmail | 9E: Batch-editing data

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Guideline 9 > Example

Copilot in PowerPoint | G9: Support efficient correction

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Guideline 15

Guideline 15

Encourage granular feedback

Enable the user to provide feedback indicating their preferences during regular interaction with the AI system.
Guideline 15 > Pattern 15A > Example

Copilot in Excel | 15A: Encourage explicit feedback on individual system outputs

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Guideline 15 > Pattern 15A > Example

Viva Topics | 15A: Encourage explicit feedback on individual system outputs

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Guideline 15 > Pattern 15A > Example

Instagram | 15A: Encourage explicit feedback on individual system outputs

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Guideline 15 > Pattern 15A > Example

Google Search | 15A: Encourage explicit feedback on individual system outputs

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Guideline 15 > Pattern 15B > Example

Google Maps | 15B: Request explicit feedback on selected system outputs

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Guideline 15 > Pattern 15C > Example

Word Online | 15C: Reporting inappropriate content

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Guideline 15 > Pattern 15C > Example

Twitter | 15C: Reporting inappropriate content

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Guideline 15 > Pattern 15C > Example

Instagram | 15C: Reporting inappropriate content

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Guideline 15 > Pattern 15D > Example

Contoso | 15D: Use existing public rating or interaction data as feedback for the system

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Guideline 15 > Pattern 15D > Example

Facebook | 15D: Use existing public rating or interaction data as feedback for the system

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Guideline 15 > Pattern 15D > Example

Twitter | 15D: Use existing public rating or interaction data as feedback for the system

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