errors-mistakes

What problem does it solve?

It helps you design interfaces and workflows that stop users from making confident but incorrect choices when their understanding of the situation is wrong (mistakes of intention).

Core Features & Use Cases

• Mistake prevention by clarifying intent and state: Makes system state and environment mode visible so users can reason correctly about what will happen next.
• Guided decision support for ambiguous, novel, or high-stakes contexts: Uses decision trees, guided flows, checklists, confirmations with explicit consequences, and inline help to reduce perception, decision, and knowledge mistakes.
• Trend-aware and feedback-rich presentations: Replaces point-in-time displays with trend-aware UI and provides clear feedback at decision points to prevent misread information.

Quick Start

Ask your AI designer: "Review my error-prone user flow for mistakes of intention and propose concrete UI changes that surface system state, add decision trees/checklists where appropriate, and improve feedback, confirmations, and contextual help."