694 topics found for:

“user experience enhancement”

i18n

Numeronym for the word "Internationalization" (I + 18 letters + N), enabling localization for different languages, regions, and cultures without requiring extensive rework. Important for expanding product reach to global markets.

d11n

Numeronym for the word "Documentation" (D + 11 letters + N), creating detailed records and instructions to support the development, use, and maintenance of systems or products. Crucial for ensuring users and developers understand and properly use the system or product.

Wall Walk

An activity during a design audit where printed screens representing customer journeys are reviewed collaboratively with stakeholders to assess design quality and identify areas for improvement. Essential for ensuring design consistency, gathering feedback, and making informed decisions on design enhancements.

Semantic Noise

Interference in the communication process caused by ambiguity in the meaning of words and phrases, leading to misunderstandings. Crucial for designing clear communication channels and reducing misunderstandings in user interactions.

Prospect Theory

A behavioral economic theory that describes how people choose between probabilistic alternatives that involve risk, where the probabilities of outcomes are known. Crucial for understanding decision-making under risk and designing systems that align with user behavior.

a11y

Numeronym for the word "Accessibility" (A + 11 letters + Y), designing for ease of use by all people, ensuring equal access to those with disabilities. Crucial for ensuring inclusivity and compliance with accessibility standards.

SCAMPER

Substitute, Combine, Adapt, Modify, Put to another use, Eliminate, and Reverse (SCAMPER) is a creative thinking technique that encourages innovation in a product or process. Useful for generating new ideas and improving existing products or processes.

Reflexion

The process of self-examination and adaptation in AI systems, where models evaluate and improve their own outputs or behaviors based on feedback. Crucial for enhancing the performance and reliability of AI-driven design solutions by fostering continuous learning and improvement.