Design | Experience
Presenting complex data effectively in UX design involves simplifying information, choosing appropriate visualizations, and creating an intuitive user experience. This includes understanding the audience, prioritizing key information, and using visual hierarchy to guide the user’s attention
Complex data can be powerful and persuasive, but only if you present it clearly and effectively. Whether giving a business pitch, a scientific … Read the rest
Here are 07 NVIDIA AI courses:
1. AI for All: From Basics to GenAI Practice
• AI impacts industries like healthcare and autonomous vehicles
• From machine learning to generative AI
• GenAI creates music, images, and videos
2. Introduction to AI in the Data Center
• Basics of AI, machine learning, and GPU architecture
• Deep learning frameworks and … Read the rest
Design System Contribution Process
A good design system is like a compass, keeping everyone aligned without stifling creativity. Design system helps product teams achieve a very important goal—consistency in design.
Every time a designer want to introduce a change to an established design system, one need to carefully evaluate this change to ensure that won’t break anything or introduce unnecessary … Read the rest
Creating a color palette from scratch can be tricky for junior designers. If you’re not confident about the shade, tint, and the combination, I suggest using the Tailwind CSS color palette. It contains nice shades and combinations.
Here’s a list of the 6 most common color schemes in UX design
Color scheme… Read the rest
Design Patterns For AI Chat Interfaces. With practical guidelines on how to designing more useful, and less annoying AI chat ↓
🚫 Nothing erodes trust more than disguised AI.
🤔 Often users dismiss AI chats almost instinctively.
✅ Users expect an option to “speak to human”.
✅ Be transparent about who users speak to.
✅ Wait for users to end … Read the rest
20 unhelpful thinking styles and how to fix them:
1. Binary Thinking: Seeing the world in black and white, with no middle ground.
2. Magnification and Minimization: Exaggerate or downplay situations excessively.
3. Jumping to Conclusions: Making assumptions without sufficient evidence.
4. Selective Attention: Focusing on a single detail while ignoring the bigger picture.
5. Catastrophizing: Assuming the worst possible … Read the rest
UX metrics are quantifiable measurements that assess the quality of user interactions with a product or service. They help designers understand how users experience a product, identify areas for improvement, and track the effectiveness of design changes. These metrics can be categorized as behavioral, attitudinal, or business-related
Comprehensive list of 26 UX design metrics + definitions. There are 4 … Read the rest
Data-driven UX design is an approach where designers use data and analytics to inform and improve user experience (UX) design decisions. It involves gathering, analyzing, and interpreting user data to understand their needs, preferences, and behaviors, moving away from relying solely on intuition or assumptions.
Discover how data-driven design is transforming the UX landscape. This step-by-step guide offers real-life … Read the rest