Progressive Disclosure
What is Progressive Disclosure?
Progressive Disclosure is an AI design pattern that reveals complexity gradually. It shows simple features first, then unveils advanced capabilities as needed. Instead of overwhelming users with every AI setting and option upfront, this pattern starts with essentials and expands on demand. It's ideal for powerful AI tools with many features, onboarding new users, or preventing decision paralysis. Think of how Loom shows basic video tools first, then reveals AI transcription when you click 'more options,' or how ChatGPT starts simple but offers advanced settings in a menu.
Problem
Complex AI features shown all at once can overwhelm users, causing abandonment or difficulty finding advanced options.
Solution
Progressively reveal information and AI features. Start with essentials, then offer advanced features as users interact or request more.
Real-World Examples
Implementation
AI Design Prompt
Guidelines & Considerations
Implementation Guidelines
Start with essential information; reveal advanced AI features only when needed.
Use clear triggers (e.g., 'Show more', tooltips, step-by-step flows) to access additional AI options.
Avoid overwhelming users with too many choices or settings.
Test with novice and advanced users to balance simplicity and power.
Provide contextual explanations or AI tips as users progress.
Design Considerations
Limit disclosure to 2-3 layers to avoid user frustration.
Clearly indicate how to access more options.
Ensure accessibility for all users (keyboard, screen reader support).
Tailor progressive disclosure to user segments (e.g., show more to advanced users).
Monitor usage analytics to refine default hidden/revealed content.