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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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458
26.10.2026
458
26.10.2026
No ratings
458
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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Speed is not a strategy Taking a beat before building leads to products that last. Without friction, we risk moving faster in the wrong direction. Step-change innovation comes from carving out space to think—diagnosing root problems, diverging before converging. When everyone moves at lightning speed, those who slow down first to figure out what to build will end up moving fastest toward a solution. The pause isn't lost time—it's the work Risk Intelligence Dashboard Design – A Guide for Product Teams Start with workflow, not data. Build KRIs (measurable, predictive, tied to impact) with clear thresholds. Design for exploration (heat maps, trajectory charts), not just display. Reduce cognitive load via progressive disclosure. Integrate AI only where it adds genuine depth. If analysts export data into spreadsheets, the dashboard isn't doing its job NNG: Selection Criteria - How to Pick Your Participants Rigorous selection criteria protect study validity. Learn how to define inclusion, exclusion, and diversity criteria to avoid costly misrecruits Prototyping: The Psychology of Nudges - Why the Smallest Design Element Can Shift the Biggest Outcomes The ethical line: who benefits—user or platform? Defaults increase acceptance 60%+. All dark patterns are nudges, but not all nudges are dark patterns. The line crosses when informed consent is removed or business benefits over user. Ethical checklist: benefit user first, easy to undo, intent clear. Nudges reflect who wields them AI: Thoughtful AI implementation for UXR leaders AI should support, not replace, research quality. Don't use AI for research questions (output is shallow). Use it to clean survey data (but review after). Label AI-generated content. Ask: good output? saves time? cost-effective? Most answers are no. Speed can kill quality @uxdigest
UX Digest - best posts
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