Thomas Bohm rethinks technical illustrations and data visualizations, sharing interesting and uncommon examples of how to present data and information. Bar graphs and pie charts are great, but there’s so much more to explore!
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There are many myths revolving around Gen Z and how they use tech. Time to take a look at actual behavior patterns that go beyond heavy use of social media. Part of Smart Interface Design Patterns by yours truly.
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Design decisions shouldn’t be a matter of personal preference. We can use reliable design KPIs and UX metrics to guide and shape our design work and measure its impact on business. Meet How To Measure UX and Design Impact, our new video course that helps with just that.
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Go behind the scenes with Björn Ottosson, the Swedish engineer who created Oklab color space, and discover how he developed a simple yet effective model with good hue uniformity while also handling lightness and saturation well — and is “okay” to use.
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One of the main laws that applies to almost everything in our lives, including building digital products, is Murphy’s Law: “Anything that can go wrong will go wrong.” Our goal is to prevent things from going wrong and, if they do, mitigate the consequences. In this article, Victor Ponamarev explores different strategies for preventing users from making mistakes.
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This article aims to celebrate the power of introversion in UX research and design. Victor Yocco debunks common misconceptions, explores the unique strengths introverted researchers and designers bring to the table, and offers practical tips for thriving in a field that sometimes seems tailored for extroverts.
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Creating ready-to-implement Lottie animations with a single tool is now possible thanks to SVGator’s latest feature updates. In this article, you will learn how to create and animate a Lottie using SVGator, an online animation tool that has zero learning curve if you’re familiar with at least one design tool.
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Bringing data to life in your application can be done without the usual headaches. Paul Scanlon shows you how you can build beautiful data visualizations using the Google Analytics API, and you won’t have to spend any time “massaging” the data.
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Anticipatory design, powered by Artificial Intelligence (AI), Machine learning (ML), and Big Data (BD), promises to transform user experiences by predicting and fulfilling needs before users even express them. While this proactive approach seems revolutionary, many businesses struggle to meet the high expectations it sets. Joana Cerejo delves into the challenges of anticipatory design, highlights key failures, and offers a framework to help designers and businesses succeed in this complex landscape.
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Designing for digital products requires a different mindset than traditional websites. It’s all about continuous adaptation, refining, and iterating as user behavior and needs evolve. Paul Boag reflects on the key differences, including how the frequency of usage impacts your design approach and what you can do about it.
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