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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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482
27.10.2026
482
27.10.2026
No ratings
482
27.10.2026
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Regular selections of UX posts from English-language sources.

Подписчиков 3,772
Тематика Design
Язык English
Ссылка t.me/uxdigest
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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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What Are UX Research Deliverables? The article challenges the traditional notion of UX "deliverables" (wireframes, reports, prototypes). It argues the true deliverable is **not the artifact, but the change in understanding or decision it creates**. The value lies in translating user data into actionable insights that align teams and drive the product forward. Effective UX professionals focus on creating shared knowledge, not just documents The business is the only stakeholder that matters The provocative title is a challenge to UX teams: stop trying to please every internal stakeholder's opinion. The only stakeholder that truly matters is the shared business goal of creating customer value that drives growth. UX must align its work directly to this goal, using metrics and outcomes to become a strategic partner, not a service department NNG: Explainable AI in Chat Interfaces Explainable AI in chat interfaces often fails because current explanations (like source citations or step-by-step reasoning) are frequently inaccurate or "hallucinated," creating false user trust. The article argues that while UX can't solve the technical problem of AI explainability, it can mitigate harm by designing better disclaimers, presenting sources more transparently, and avoiding anthropomorphic language to help users maintain a critical mindset AI: AI Quality (Evals) for Product Builders — Understanding the Practice of AI Evals & The Anatomy of AI Evals Effective AI evaluation isn't a single test, but a layered system combining four complementary methods: automated code checks, expert human review, scaled assessment via LLM judges, and real user feedback. These evaluations must be integrated into the AI development lifecycle, starting with fast prototyping and evolving systematically when persistent failures arise. This creates a feedback loop for confident iteration and allows the evals themselves to adapt as new failure modes are discovered in production Basics: Are your interviewing habits sabotaging your insights? Here’s how to fix them The article argues that common interviewing habits like asking leading questions, over-explaining, and giving immediate feedback can sabotage research insights by distorting user responses. To fix this, adopt a mindset of neutral curiosity, ask open-ended questions, embrace silence, and listen more than you speak to uncover genuine user behaviors and motivations @uxdigest
UX Digest - best posts
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