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UX Digest - best posts

UX Digest - best posts

Regular selections of UX posts from English-language sources.

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470
26.10.2026
470
26.10.2026
No ratings
470
26.10.2026
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Regular selections of UX posts from English-language sources.

Подписчиков 3,772
Тематика Design
Язык English
Ссылка t.me/uxdigest
Description

Selection of fresh UX articles with author's comments, library of useful materials. Includes Russian-language resources for designers.

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UX Digest - best posts
UX Digest - best posts
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European airline apps: state of UX 2026 Public ratings hide reality: recent reviews average 2.3 stars (inflated by bot-like reviews and historical averaging). Legacy carriers outperform budget carriers. Chatbots fail on complex requests ("capability cliff")—users now share tactics to reach humans. Public ratings are not a meaningful UX measure The Real Reason Your Design Team Burns Out (And How to Fix It) Design teams burn out from friction (missing files, changing briefs, unclear decisions), not hard work. Fix: clarify direction first, document decisions, maintain one source of truth, build mentorship into daily work. Start a Friction Log—note every slowdown for one week. Every system is perfectly designed to get the results it gets NNG: Information Seeking in China - A Different Ecosystem, Familiar Behavior Information seeking in China is driven by mobile social-media apps. But how users prompt and engage with genAI mirrors what we've seen in the West Prototyping: Designing Stable Interfaces For Streaming Content Streaming content causes scroll pull, layout shift, and costly DOM updates. Fix: track user scroll intent, write into live text nodes (don't rebuild DOM), and batch updates per frame. Handle interrupted streams: clear buffer, mark incomplete, add retry AI: The right touch - mapping AI presence to user intent Framework levels: shoulder tap (nudge), back-and-forth (conversational), let me help (generates), level 0 (avoid unnecessary generation). Confidence mapping: high → act directly, moderate → clarify, low → ask before generating, very low → nudge. The key decision isn't which model—it's knowing when the system should step back @uxdigest
UX Digest - best posts
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