Undo & Revert Recovery Pattern
This pattern enables users to reverse unwanted AI actions and restore previous states safely across different interaction types.
🧭 Domain: Undo & Revert ⏱️ Effort: 5-minute fix
Problem
When users can't reverse AI actions or restore previous states, they feel trapped by irreversible decisions. This fear of "no way back" causes hesitation and anxiety, and may lead users to abandon your product entirely rather than risk making mistakes.
Solution
Implement granular undo mechanisms that preserve previous states and allow users to safely reverse AI-driven actions without data loss or workflow disruption.
Implementation Example
Pseudocode: Framework-agnostic code showing the core logic and approach. Adapt the syntax and methods to your specific technology stack.
// Pseudocode:
// Preserve state before AI actions
function preserveState(currentState) {
const stateSnapshot = {
timestamp: new Date(),
data: deepClone(currentState),
actionType: 'ai_generated',
id: generateUniqueId()
};
stateHistory.push(stateSnapshot);
}
function undoLastAction() {
if (stateHistory.length > 0) {
const previousState = stateHistory.pop();
restoreState(previousState.data);
showUndoConfirmation("Reverted to previous state");
}
}
function showUndoOption(timeWindow = 30000) {
displayUndoButton();
setTimeout(() => hideUndoButton(), timeWindow);
}
🧠 What this does: Lets users safely experiment with AI features knowing they can always return to a previous state if the results aren't what they expected.
Try this:
Testing Checklist
- □Undo functionality works within appropriate time windows (30 seconds to 24 hours based on action impact)
- □Previous state is completely restored without data corruption or partial reversals
- □Undo actions themselves can be undone (redo functionality works)
- □Clear feedback shows what was undone and confirms the restoration
- □Undo works across different devices and browser sessions where appropriate
Related Patterns
User Control Recovery Pattern
This pattern gives users control over AI suggestions, recommendations, and automated actions.
View Pattern→Delegation Recovery Pattern
This pattern allows users to transfer AI tasks to human support when needed.
View Pattern→Exit Recovery Pattern
This pattern ensures users can easily stop, cancel, or exit AI interactions at any point.
View Pattern→Error Recovery Pattern
This pattern lets users correct AI errors, undo actions, or fix missteps.
View Pattern→