HAX Design Library

Guideline 2

Make clear how well the system can do what it can do

Help the user understand how often the AI system may make mistakes.

Guideline 2 > Pattern 2A

Pattern 2A: Match the level of precision in UI communication with the system performance – Language

Guideline 2 > Pattern 2B

Pattern 2B: Match the level of precision in UI communication with the system performance – Numbers

Guideline 2 > Pattern 2C

Pattern 2C: Report system performance information

Guideline 2 > Pattern 2C > Example

Contoso | 2C: Report system performance information

Guideline 2 > Pattern 2D

Pattern 2D: Provide low performance alerts

Guideline 2 > Pattern 2D > Example

Copilot in Outlook | 2D: Provide low performance alerts

Guideline 2 > Example

AI Critiques | G2: Make clear how well the system can do what it can do

Guideline 2 > Example

Copilot in Outlook | G2: Make clear how well the system can do what it can do

Guideline 9

Support efficient correction

Make it easy to edit, refine, or recover when the AI system is wrong.

Guideline 9 > Pattern 9A

Pattern 9A: Switch classification decisions

Guideline 9 > Pattern 9A > Example

Gmail | 9A: Switch classification decisions

Guideline 9 > Pattern 9B

Pattern 9B: Rich and detailed edits

Guideline 9 > Pattern 9B > Example

Copilot in Outlook | 9B: Rich and detailed edits

Guideline 9 > Pattern 9B > Example

Pattern 9E: Batch-editing data

Guideline 9 > Pattern 9E > Example

Outlook | 9E: Batch-editing data

Guideline 9 > Pattern 9E > Example

Gmail | 9E: Batch-editing data

Guideline 12

Remember recent interactions

Maintain short-term memory and allow the user to make efficient references to that memory.

Guideline 12 > Example

Outlook – G12: Remember recent interactions

Guideline 13

Learn from user behavior

Personalize the user’s experience by learning from their actions over time.

Guideline 14

Update and adapt cautiously

Limit disruptive changes when updating and adapting the AI system’s behaviors.

Guideline 14 > Pattern 14A

Pattern 14A: Comprehensive updates

Guideline 14 > Pattern 14B

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