Human-AI Collaboration

Contextual Assistance

Offer timely, proactive help and suggestions based on user context, history, and needs.

Problem

Users need guidance but often don't know what or when to ask. Traditional help interrupts workflows.

Solution

Design intelligent assistance that proactively offers relevant help, suggestions, or information based on user context and behavior. Anticipate needs rather than waiting for explicit requests.

Examples in the Wild

Interactive Code Example

Design This Pattern

Implementation & Considerations

Implementation Guidelines

1

Make assistance subtle and non-intrusive; don't interrupt the user's flow

2

Provide clear indications that suggestions are AI-generated

3

Allow users to easily accept, modify, or dismiss suggestions

4

Gradually improve suggestions based on user feedback and acceptance patterns

5

Offer ways to access more detailed help when contextual assistance isn't sufficient

Design Considerations

1

Balance between proactive help and avoiding unnecessary interruptions

2

Consider privacy implications of analyzing user behavior to provide contextual help

3

Ensure the system doesn't make assumptions that could frustrate users if incorrect

4

Provide transparency about why certain suggestions are being made

5

Include settings to adjust the frequency and type of assistance

Related Patterns