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Designing AI-powered features, managing user expectations, and AI transparency.
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Basé sur la classification professionnelle SOC
A/B test design, experiment setup, variant design, and statistical analysis for designers.
Advanced accessibility patterns including ARIA, screen reader optimization, cognitive accessibility, and motor impairment design.
WCAG compliance deep dive, screen reader patterns, keyboard navigation, and inclusive design.
Accordion and collapsible content patterns, FAQ layouts, and progressive disclosure.
Using analytics tools for design decisions, behavioral analysis, and data-informed design.
Analytics and reporting interface design including data visualization, report builder, and metric dashboards.
| name | ai-product-design |
| description | Designing AI-powered features, managing user expectations, and AI transparency. |
| triggers | ["AI design","AI UX","AI product","machine learning UX"] |
| Pattern | Example |
|---|---|
| Suggestion | Email autocomplete, search suggestions |
| Classification | Spam detection, content categorization |
| Generation | Text, image, code generation |
| Prediction | Estimated delivery time, churn prediction |
| Automation | Auto-tagging, smart replies |
