The 12 emotional journeys of color psychology

The essence of the article is that color in UX design is not merely decorative but a powerful tool for guiding users through 12 distinct emotional journeys—from building trust with blue to creating urgency with red. Each color triggers specific subconscious reactions, and their strategic combination shapes the entire user experience, influencing perception, decision-making, and emotional engagement with the product

NNG: Stop Misrecruits — Add Foils to Your Screener

The core issue with screening questionnaires is that overly specific or predictable questions allow unqualified participants to easily guess the desired answers and bypass screening, contaminating research data. Effective screeners should use indirect, open-ended questions that assess real experiences and behaviors rather than yes/no knowledge checks, while strategically embedding subtle "foil" questions to identify and filter out dishonest respondents who are merely trying to qualify

Process: User research in product design — uxraspberry/user-research-in-product-design-lessons-from-continuous-discovery-and-real-cases-08a72bcb1003/?utm_source=tlgrm_uxdigest">lessons from continuous discovery and real cases

The core of effective user research lies in shifting from a project-based model to a culture of continuous discovery, where product teams maintain ongoing, direct contact with users through lightweight methods like weekly interviews and prototype testing. This approach, exemplified by real cases, uncovers not just explicit needs but the underlying user behaviors and mental models, ensuring that product decisions are grounded in actual context rather than assumptions and that value is delivered incrementally and validated constantly

ai: Building an AI-First Mindset — It’s a Journey, Not a Destination

At its core, developing an AI-first mindset is a continuous cultural shift, not a one-time technical upgrade. It requires teams to fundamentally reimagine problems and solutions through the lens of what machines do best—processing data, recognizing patterns, and automating decisions—while strategically leveraging human strengths in empathy, ethics, and creative oversight. This journey prioritizes experimentation and learning over perfect outcomes, focusing on building adaptable systems that evolve with use rather than creating rigid, finished products

Case study: olenastoianova/how-we-improved-a-postomat-delivery-app-with-the-power-of-empathy-d63eebf35f48/?utm_source=tlgrm_uxdigest">How we improved a postomat delivery app with the power of empathy

The essence is that a seemingly minor friction in a delivery app—like an extra confirmation step before opening a parcel locker—can create significant user frustration when experienced in real-world contexts (rain, urgency, holding packages). By observing actual behavior and even drawing insight from a personal moment of struggle, the team simplified the flow to a single tap, aligning the interface with the user’s immediate goal: get the parcel, fast. This empathetic, context-aware redesign led to a 20% increase in feature adoption, proving that great UX often lies not in adding features, but in removing unnecessary steps

Opinion: evelance/what-is-predictive-user-research-c159f554b268/?utm_source=tlgrm_uxdigest">What is Predictive User Research?

The core of predictive user research is a shift from understanding current user behavior to forecasting future needs and potential problems before they arise. This is achieved by analyzing patterns in existing data, emerging technologies, and socio-cultural trends to model how user expectations and behaviors might evolve. It transforms the UX role from reactive problem-solving to proactive strategy, allowing teams to design solutions for tomorrow's user, not just today's

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When your stakeholders think fewer clicks = better UX

The essence is that fewer clicks don’t automatically mean better UX —what users truly care about is clarity, confidence, and progress, not the raw number of interactions. Well-structured, intentional “good clicks” (like step-by-step wizards or categorized navigation) reduce cognitive load and build trust, while “bad clicks” (dead ends, confusion, repetition) create frustration regardless of count. Instead of obsessing over click reduction, teams should focus on organizing information logically—like a well-arranged wardrobe—and designing flows that make each step feel purposeful and safe

Ten Things to Know About the SUPR-Qm

The essence is that the SUPR-Qm V2 is a streamlined, five-item questionnaire designed to quickly and reliably measure the overall user experience of mobile apps—not to diagnose specific issues, but to provide a clear, comparable score on a 0–100 scale. Based on Rasch modeling and validated across thousands of responses, it balances brevity with statistical rigor, correlates with established metrics like the SUS, and even includes a curved grading system (A+ to F) to make results intuitive for stakeholders. While it won’t tell you _what_ to fix, it efficiently answers _how good_ the experience feels to users—making it ideal for benchmarking, tracking changes over time, or comparing app versions (e.g., free vs. paid)

nng: GenUI — AI-Generated Interfaces

The essence is that Generative UI (GenUI) leverages real-time AI to dynamically create personalized interfaces tailored to individual users’ context, preferences, and behavior—moving beyond static, one-size-fits-all designs. Rather than designers pre-building every screen, AI assembles layouts, content, and interactions on the fly, turning UX into a fluid, adaptive experience. While promising greater relevance and efficiency, this shift also demands new design principles focused on intent, constraints, and ethical guardrails—because when interfaces are generated, not designed, the designer’s role evolves from crafting pixels to defining the rules that shape them

prototyping: 5 UX Lessons I Learned Designing a Food Delivery Truck App

The essence is that great UX in a food delivery app starts not with business metrics, but with deep empathy for the user’s real concerns—like food freshness, trust, and personal taste. By prioritizing clarity (e.g., showing when food was prepared), using appetite-stimulating colors, offering subtle—not pushy—deals, and enabling meaningful customization, the app becomes not just functional, but emotionally resonant. Ultimately, when user needs come first, loyalty and conversions follow naturally

ai: 7 UX Skills that will be DEAD by 2026 — AI will replace them

The essence is that several once-essential UX skills—like manual wireframing, isolated usability testing, and rigid adherence to the Double Diamond—are becoming obsolete as AI, automation, and integrated product practices reshape the field. Tomorrow’s UX professionals won’t be valued for how well they draw screens, but for their ability to frame ambiguous problems, collaborate across disciplines, interpret behavioral data, and ethically guide AI-driven experiences. The shift isn’t about losing design craft—it’s about evolving from interface makers to strategic sense-makers who prioritize outcomes over artifacts

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The Emotional Side of UX Research: boris.yuzefpolsky/the-emotional-side-of-ux-research-staying-grounded-through-user-interviews-8917be379ac1/?utm_source=tlgrm_uxdigest">Staying Grounded Through User Interviews

The essence is that UX research isn’t just about collecting data—it’s an emotionally intense practice where researchers absorb users’ frustrations, anxieties, and hopes, often without realizing the psychological toll. To stay grounded and avoid burnout, it’s crucial to develop rituals for emotional processing, set clear boundaries, and remember that empathy doesn’t mean carrying others’ pain; it means listening with care while protecting your own well-being

agfigmaworks/navigating-product-evolution-through-research-fac7f21ed76f/?utm_source=tlgrm_uxdigest">Navigating Product Evolution Through Research

The essence is that product evolution shouldn’t be driven by assumptions or internal opinions, but by continuous, embedded user research that informs every stage—from initial discovery to post-launch iteration. Rather than treating research as a one-off validation step, teams should integrate it into their rhythm, using lightweight, frequent touchpoints to uncover real user behaviors, test hypotheses early, and avoid building features nobody needs. Ultimately, research isn’t a phase—it’s the compass that keeps product development aligned with human needs

The Long Conversation Problem

The essence is that Anthropic’s “long conversation reminder” in Claude is a profound UX failure because it makes AI safety mechanisms visible and intrusive, forcing users to watch in real time as their AI assistant is reprogrammed to treat them with suspicion, strip away empathy, and scan for mental health red flags. Instead of operating quietly in the backend, this surveillance is exposed in the thinking logs, shattering trust, inducing anxiety, and turning collaborative dialogue into a dehumanizing, adversarial experience. The core lesson: alignment and safety systems must protect users without making them feel watched, judged, or pathologized —psychological safety is as critical as technical safety in human-AI interaction

nng: Aligning UX Metrics with Organizational Goals — A Workshop Guide

The essence is that UX metrics only matter when they’re directly tied to organizational goals—otherwise, they become vanity numbers, siloed reports, or unused noise. A collaborative workshop approach helps cross-functional teams align on what truly reflects UX’s impact (e.g., reduced support costs, higher task success), prioritize a few actionable metrics over dozens of irrelevant ones, and embed those metrics into real decision-making processes. Ultimately, measuring UX isn’t about collecting data—it’s about proving and improving how design contributes to business outcomes

case study: If It’s Not on Strava, It Didn’t Happen. fordavid22/if-its-not-on-strava-it-didn-t-happen-a-strava-case-study-on-how-fitness-meets-community-aac54ae92aae/?utm_source=tlgrm_uxdigest">A Strava Case Study On How Fitness Meets Community

The essence is that Strava succeeds not just as a fitness tracker, but as a social platform that turns individual workouts into shared, meaningful experiences through features like kudos, segments, and leaderboards. By blending precise GPS data with community-driven motivation, it creates emotional engagement that keeps users coming back—proving that in fitness, recognition and connection are just as powerful as metrics

opinion: Design Truths — Users don’t want innovation, they want clarity

The essence is that users don’t crave novelty for its own sake—they crave clarity, predictability, and ease. True design excellence lies not in reinventing familiar patterns but in leveraging them to reduce cognitive load and build trust. Innovation should happen behind the scenes to solve real problems, not on the surface as visual flair that confuses more than it delights. When interfaces feel “boring” because they’re instantly understandable, that’s not a failure—it’s a sign of empathetic, user-centered design done right

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nng: From Confrontation to Collaboration — The Developer-Designer Relationship

Designers and developers often clash due to past trauma, power struggles, immature team dynamics, and late involvement in each other’s workflows. The fix? Shift from “my design vs. your code” to co-ownership of the product outcome — shared goals, mutual trust, and early collaboration. Key tactics: build 1:1 relationships, listen to understand (not to win), simplify jargon, acknowledge invisible work, and treat feedback as shared problem-solving — not personal criticism

prototyping: Airbnb — Bringing back the magic through categories that enhance its Core

Airbnb removed its “Unique Stays” categories, making it harder for users to discover inspiring accommodations like treehouses or castles without knowing a destination first. The proposed solution reintroduces a streamlined “Unique Stays” section—grouped into four intuitive themes (Nature, Design, Luxury, Whimsical)—accessible both from the home screen and within location-based search results. This design boosts discovery, supports emotional booking decisions, and aligns with Airbnb’s business goals by linking unique stays to Experiences and premium upsells—without cluttering the core UI

ai: AI in UX Design — How Artificial Intelligence is Shaping User Experiences

Not by replacing humans, but by amplifying creativity with data-driven precision.
It enables hyper-personalization, accelerates research and prototyping, and automates routine tasks like microcopy or layout generation. Most importantly, AI boosts accessibility and inclusivity — making great experiences available to everyone, everywhere

case study: Case studies are the real product

Case studies aren’t just portfolios — they’re the product itself. Hiring managers don’t care about polished mockups; they want to see **how you think**, frame problems, and navigate ambiguity. A great case study tells a clear story: context, constraints, decisions, trade-offs, and impact — not just “before/after” aesthetics

opinion: Apple’s Liquid Glass UI — larsenator/apples-liquid-glass-ui-a-beautiful-mistake-that-s-compromising-user-experience-8ec207ebc243/?utm_source=tlgrm_uxdigest">A Beautiful Mistake That’s Compromising User Experience

Excessive translucency, low contrast, and motion blur strain eyes and reduce readability.
The aesthetic prioritizes visual flair over accessibility, making core interactions harder for users with vision impairments or in bright environments. Beauty shouldn’t compromise function: when style overrides clarity, even the most polished interface becomes a beautiful mistake

ui: Dear Designers — Stop Using System Fonts Like It’s 2005

System fonts like Arial or Times New Roman are relics of early web survival — not intentional design choices. They lack brand voice, emotional tone, and modern typographic nuance, making interfaces feel generic and unstyled. In 2025, custom fonts are lightweight, expressive, and essential: typography is your product’s voice — don’t let the OS speak for you

basics: User Research in UX Design

It replaces assumptions with real evidence from interviews, surveys, observation, usability tests and card sorting. Top companies like Netflix and Apple use these methods to uncover behavior patterns, refine interfaces and boost engagement. Without research, every design decision is just a guess — with it, products solve real problems, not imagined ones

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Turning a recruitment headache marineb6651/turning-a-recruitment-headache-into-a-thriving-ux-research-community-c40ca0446324/?utm_source=tlgrm_uxdigest">into a thriving UX Research community

This case study reveals how a company solved its recruitment challenges by building a thriving UX research community. Instead of one-off testers, they engaged a dedicated pool of users for ongoing feedback. The approach streamlined recruitment and enriched data quality. A great read for teams struggling with participant sourcing

Tips on how to speed up your usability studies

This article shares practical tips to accelerate usability studies without sacrificing quality. Key strategies include using a research repository, templating tasks, and parallelizing analysis. The goal is to get faster, actionable insights and keep pace with agile development. Essential reading for UX researchers in fast-moving teams

nng: Experience design — The next iteration of UX?

NN/g's video defines Experience Design (XD) as the holistic practice of shaping the user's entire journey with a company. It goes beyond UI to encompass all touchpoints, both digital and physical. The key is ensuring every interaction is seamless, consistent, and meaningful. A crucial watch for understanding modern design philosophy

💳 prototyping: Linguistic dead-ends — the new deceptive pattern plaguing Japan

This article exposes a new deceptive pattern in Japan: "linguistic dead ends." These are intentionally confusing or misleading UI copy that traps users, often in subscription flows. The piece analyzes how they work and their ethical implications, urging designers to prioritize clarity over trickery. A critical read for ethical UX

ai: From UXR to IXR — Why we’re changing our name

The article explains the shift from User Experience Research (UXR) to Integrated Experience Research (IXR). This new term reflects the need for research to be deeply embedded across all product teams, not just a separate function. It emphasizes holistic, continuous insights for better decision-making. A thought-provoking read on the evolution of research roles

book: What I learned from “Interviewing Users” by Steve Portigal

This article distills key lessons from Steve Portigal's classic "Interviewing Users." It covers essential techniques for effective user interviews, like building rapport, asking open-ended questions, and active listening. The goal is to uncover deep insights, not just validate assumptions. A concise primer for anyone looking to improve their research skills

case study: deepansha-singh/voices-of-diversity-a-ux-case-study-b639b15614b3/?utm_source=tlgrm_uxdigest">Voices of diversity

This UX case study explores designing for diversity by including underrepresented user voices. It details the process of inclusive research, uncovering unique needs, and implementing accessible solutions. The key takeaway is that diverse participation leads to more innovative and equitable products. A vital read for inclusive design practices

opinion: The tyranny of attention — Insights from film for smarter UX Design

This article explores how principles from film editing can combat "attention tyranny" in UX design. It argues that by strategically guiding user focus—like a director controls a viewer's gaze—designers can create more intuitive and less overwhelming experiences. A must-read for innovative approaches to user attention

basics: How to encourage a user-centric product strategy

This article outlines key strategies to foster a user-centric product culture. It emphasizes embedding user research early, sharing insights across teams, and prioritizing user needs in roadmaps. The goal is to align business objectives with real user problems for better product outcomes. Essential reading for PMs and leaders

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How unmoderated testing steffie.jean/how-unmoderated-testing-could-be-harming-your-designs-e4208fb55b4c/?utm_source=tlgrm_uxdigest">could be harming your designs

Unmoderated testing can harm your designs by lacking context, leading to misleading data. Without a moderator, you miss crucial "why" behind user actions, potentially validating flawed designs. This article explains its risks and when to use moderated sessions for deeper, accurate insights. A must-read for UX researchers

UX and NPS Benchmarks of International Banking Websites (2025)

MeasuringU's 2025 International Banking Benchmark reveals key UX trends, scoring top banks on usability and satisfaction. The study highlights a growing gap between leaders and laggards, with mobile features and security being major differentiators. Essential data for fintechs and banks aiming to improve digital customer experience

nng: How to spot signs of UX Maturity regression

NN/g's article identifies warning signs of UX maturity regression, such as cutting research budgets, deprioritizing user feedback, and reverting to opinion-based design. It stresses that sustaining a user-centric culture requires continuous commitment, even under business pressures. A crucial read for teams protecting hard-won UX gains

ai: Tenets & traps of real-world AI

This article outlines core tenets for effective real-world AI design, like transparency and user control, while exposing common traps such as over-reliance on automation and opaque decision-making. It balances practical guidance with ethical considerations for building trustworthy, user-centered AI products. A must-read for designers tackling AI complexity

opinion: Voice and immersive interfaces — Preparing your product for the future of UX

This article explores how voice and immersive interfaces (like AR/VR) are shaping the future of UX. It offers strategic advice for preparing products now, focusing on natural interaction patterns, contextual awareness, and multimodal design. A forward-looking guide for staying ahead in the next era of user experience

ui: The importance of iconography in UI design

This article breaks down the essentials of effective iconography in UI design, emphasizing clarity, consistency, and cultural relevance. It covers best practices for choosing and designing icons that enhance usability rather than confuse users. A practical guide for designers aiming to create intuitive and accessible interfaces

basic: So what actually is a questionnaire?

This article clarifies the purpose and structure of questionnaires as a research tool, distinguishing them from surveys. It covers best practices for writing effective questions, avoiding bias, and ensuring reliable data collection. A foundational read for anyone using questionnaires in UX research or product validation

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How to score and interpret the five-item SUPR-Qm v2

From data to decisions: UX strategies for real-time dashboards

Beyond research: beth_lingard/beyond-research-practicing-product-leadership-as-a-ux-researcher-9da193809d90/?utm_source=tlgrm_uxdigest">Practicing product leadership as a UX Researcher

nng: A millennial’s DVD collection — I’m returning to physical discs

ai: Redefining research — my adventure with Perplexity AI

experience: When simple tasks became frustrating in Miro — shagun.bhandari2003/when-simple-tasks-became-frustrating-in-miro-a-usability-test-9de90cc74e2f/?utm_source=tlgrm_uxdigest">A usability test

case study: Reducing POD errors & providing on time balance payment to our fleet operators

opinion: User research is worse than a coin flip — hrwd/user-research-is-worse-than-a-coin-flip-heres-what-actually-works-6b8decb0c38f/?utm_source=tlgrm_uxdigest">here’s what actually works

interesting: What digital UX can learn from the physical media revival

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personalized vr meditation experience for mental well-being: ishikasoni50/personalized-vr-meditation-experience-for-mental-well-being-a-mini-qualitative-ux-research-study-4b4f1e8972b4/?utm_source=tlgrm_uxdigest">a mini qualitative ux research study

first-impression testing. the 5-second test & how to optimize it

nng: the vr hype cycle — lessons for the age of ai

ai: lakshmipriyavr13/research-stories-4-using-ai-tools-for-improved-efficiency-research-delivery-97b8c2ee05c8/?utm_source=tlgrm_uxdigest">research stories — using ai tools for improved efficiency & research delivery

experience: transforming financial data experience — mafruh-faruqi/transforming-financial-data-experience-our-scholarfield-ux-optimization-case-study-723d45997926/?utm_source=tlgrm_uxdigest">our scholarfield ux optimization case study

ui: 20 footer design myths you’re still believing (and how to fix them)

basics: why struggling customers don’t see your help — and what ux research can do to fix it

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ux research and the future

ux research isn’t intersectional. leenahaque1/ux-research-isnt-intersectional-it-barely-sees-ethnicity-at-all-dfd0ef278b32/?utm_source=tlgrm_uxdigest">it barely sees ethnicity at all

bridging the gap between ux research and design

🗞 digest: ai-assisted user research — a practical framework

ai: the user experience of ai-based chat software (2025)

tool: sravito review 2025 — what i look for in a research repository as a uxr expert

experience: how user yunjungji/how-user-interview-skills-changed-my-life-a8fe9527ef28/?utm_source=tlgrm_uxdigest">interview skills changed my life

opinion: billiemae.kennedy/designing-for-people-whove-been-let-down-before-9c768b94be54/?utm_source=tlgrm_uxdigest">designing for people who’ve been let down before

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how to do affinity mapping that doesn’t suck

turning existing insights into future impact

the methods ux professionals use (2024)

how to define success criteria for ux research

verifying the stability of the five-item supr-qm v2

nng: how to use nngroup’s ux-maturity model without a formal assessment

ai: evaluating ai-simulated behavior — insights from three studies on digital twins and synthetic users

case study: common sensexcllntt/common-sense-guide-to-user-research-1fc0ca92840b/?utm_source=tlgrm_uxdigest"> guide to user research

opinion: challenges in rethinking user interface design for age of ai

basics: circular ux — designing for repair and reuse

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you can only improve what you’re measuring

nng: mixed-methods research - combining qualitative and quantitative data

ai: how i use generative ai for research in 2025

case study: trackmate - anjaligautm998/trackmate-connecting-music-creators-through-social-collaboration-bc78ecf7d655/?utm_source=tlgrm_uxdigest">connecting music creators through social collaboration

opinion: christian.hartvig/how-user-research-slowly-sucked-the-soul-out-of-design-2189bcf9087e/?utm_source=tlgrm_uxdigest">how user research slowly sucked the soul out of design

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is it ok to edit the wording of standardized ux questions?

12 heuristics for content design

🗞 digest: where do ux researchers go from here?

nng: digital twins - simulating humans with generative ai

ai: should ux designers trust ai with user behaviour analysis?

opinion: what does marathon training and user centred design have in common?

basic: ankursinghs/ux-research-is-just-the-start-making-it-matter-is-the-job-416cfc3118ff/?utm_source=tlgrm_uxdigest">ux research is just the start. making it matter is the job

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streamlining the supr-qm from 16 to 5 Items

the afterlife of ux research: how to ensure insights lead to action

nng: ux strategies for complex-application design

ai: ux trends 2025 - amulyaranjan69/ux-trends-2025-how-ai-is-reshaping-digital-experiences-8d8168d535e8/?utm_source=tlgrm_uxdigest">how ai is reshaping digital experiences

opinion: christian.hartvig/how-user-research-slowly-sucked-the-soul-out-of-design-2189bcf9087e/?utm_source=tlgrm_uxdigest">how user research slowly sucked the soul out of design

interesting: invisible ux friction - a substack mobile quirk that tripped me up

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benchmarking in ux - an organizational framework

how to run meaningful research with busy healthcare professionals

💵 good ux is still important even when users are forced to use your software

📼 nng: wireflows 101

ai: how ready are teams for ai?

prototyping: venkatachalapathy.na_20989/dont-try-new-jakob-nielsen-234ec2c919b7/?utm_source=tlgrm_uxdigest">don't try new - jakob nielsen

opinion: write insight titles with your partners

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first researcher starter pack

how to level up your confidence game?

nng: designing scroll behavior - when to save a user’s place

prototyping: designing for dignity - improving the low-data experience on mtn

ai: using ai in ux research - a personal take on what works & what doesn’t

opinion: aakriti_srivastava/what-lies-at-the-heart-of-human-centered-design-2ce01408d7ef/?utm_source=tlgrm_uxdigest">what lies at the heart of human-centered design?

basics: profiles + personas - making sense of your audience

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What UX Hiring Managers Want and What UX Practitioners Report Doing (2025)

The core disconnect in the UX field is that hiring managers primarily seek strategic business partners who can demonstrate impact through metrics and drive product decisions, while many practitioners focus heavily on executing research methods and creating deliverables. This gap highlights that career advancement requires shifting from being a research executor to a strategic influencer who clearly connects user insights to business outcomes like increased revenue, reduced costs, or improved customer retention

Ask Smarter: The Art of Questioning in User Interviews

The essence of effective user interviewing lies in asking smarter questions that uncover underlying behaviors and motivations, not just surface-level opinions. This means replacing leading or closed questions with open-ended, context-focused inquiries that explore past actions and concrete experiences. Mastering this art transforms interviews from a simple Q&A into a discovery tool that reveals the user's mental models and the true reasons behind their actions

NNG: Liquid Glass Is Cracked, and Usability Suffers in iOS 26

The core concept of "liquid glass" describes a future user interface that is seamlessly context-aware, morphing to fit any device, form factor, or environment while maintaining continuity of experience. This represents an evolution beyond responsive design toward truly adaptive interfaces that flow like water—invisible, flexible, and omnipresent—fundamentally blurring the lines between physical and digital interactions. The challenge for designers will shift from creating static screens to orchestrating dynamic, cross-platform experiences that prioritize user tasks over device constraints

experience: Weekend at Zara — jozufun/weekend-at-zara-my-self-checkout-experience-and-a-ux-reflection-58b68fb88767/?utm_source=tlgrm_uxdigest">My Self-Checkout Experience and a UX Reflection

The core of the self-checkout experience at Zara highlights a key contradiction: the technology is meant to speed up the process, but a complex and non-intuitive interface with unclear gestures and a lack of instant feedback creates a cognitive load that negates all the speed advantages. This proves that in retail UX, seamlessness and predictability are more important than technological innovation, and any implementation must be tested with real users under stressful conditions, not just in a perfect lab environment

ai: How AI is reshaping the future of qualitative UX research

The core of the article is that AI is not replacing qualitative UX research but is fundamentally augmenting it by automating the logistical heavy-lifting—such as transcribing interviews and synthesizing vast amounts of unstructured data—to free up researchers for high-level synthesis and strategic insight. This shift allows UX professionals to scale deep qualitative understanding, conduct continuous rather than point-in-time research, and uncover latent human needs and behavioral patterns that were previously too time-consuming to detect, thereby elevating their role from facilitators to strategic partners

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Research as a Product — Building Sustainable, Relationship-Driven Research Programs

The essence is that treating research not as a series of isolated projects but as a product in itself —with ongoing relationships, user-centric design, and continuous engagement—transforms how insights are gathered, especially in complex B2B contexts. By building a “research operating system” with rolling panels, flexible participation, and integration into real business rhythms, researchers shift from transactional interviews to trusted partnerships, where participants proactively share feedback and insights become deeper, more sustainable, and truly actionable

Behavioral Audit in Practice:dezso/behavioral-audit-in-practice-getting-new-users-to-stay-935ce0c67736/?utm_source=tlgrm_uxdigest"> Getting New Users to Stay

The essence is that new users often abandon SaaS products like Buffer not because of poor UI, but due to invisible psychological barriers—such as unclear value, perceived setup effort, fear of social judgment, or too many starting options—that prevent them from experiencing the product’s core benefit. By applying a behavioral audit framework, teams can systematically uncover these hidden frictions and turn them into testable hypotheses, using principles like loss aversion, the paradox of choice, or immediate gratification to design interventions that boost activation, retention, and long-term growth

nng: Personas Make Users Memorable

The essence is that personas are not just fictional profiles—they are research-based, realistic archetypes designed to humanize user needs and keep design teams focused on real people, not abstract “users.” By distilling complex behavioral data into memorable, specific characters, personas foster empathy, align cross-functional teams around shared goals, and prevent the trap of designing for everyone (and ultimately no one). Crucially, effective personas must be grounded in actual user research—not invented—and include only details that directly inform design decisions

experience: The Story Behind Building a New Low-Code Product

The essence is that building a successful low-code product isn’t just about abstract visual builders or drag-and-drop interfaces—it’s about deeply understanding the real workflows, constraints, and pain points of the target users, often developers or domain experts. The team at LSports discovered that “low-code” only adds value when it eliminates repetitive, boilerplate tasks while preserving flexibility and control, not when it tries to replace coding entirely. Their journey highlights that the best low-code tools are those co-designed with users, grounded in actual use cases, and focused on accelerating outcomes—not just reducing lines of code

prototyping: theparul/redesigning-splitwises-payment-flow-9e1acdb2639e/?utm_source=tlgrm_uxdigest">Redesigning Splitwise’s Payment Flow

The essence is that Splitwise’s original “Settle Up” flow created unnecessary friction by forcing users to leave the app, pay externally, and manually confirm the transaction—leading to forgotten payments and frustration. By redesigning the payment journey into a seamless, in-app three-step process (Settle → Pay → Confirm), the team reduced payment completion time by 60%, increased same-day settlements by 40%, and gave users a stronger sense of closure—all by removing steps, not adding features

ai: The End of the User Interface? The AI Agent Revolution and the Future of Human Experience

The essence is that the traditional graphical user interface (UI) may soon give way to AI-driven “agentic experiences,” where users delegate tasks to intelligent agents instead of clicking buttons or navigating menus. Rather than disappearing entirely, the UI is evolving into something more conversational, contextual, and invisible—shaped by dialogue, trust, and real-time personalization. For designers, this means shifting from crafting screens to architecting intelligent interactions, where the focus is no longer on visual layout but on intent, behavior, and ethical systems

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ashlee.edwards/coaching-ux-researchers-on-rigor-88eedd5b2355/?utm_source=tlgrm_uxdigest">Coaching UX Researchers on Rigor

Rigor in UX research isn’t about rigid methods—it’s about intentional choices, clear reasoning, and transparency in how insights are gathered and interpreted. Strong researchers don’t just follow templates; they align methods to business questions, document assumptions, and openly share limitations. Coaching teams on rigor means shifting focus from “doing research” to “doing trustworthy, actionable research”—where quality beats speed, and honesty builds credibility

📼 nng: AI-Assisted Prototyping — Promise and Pitfalls

AI tools turn static designs into working prototypes fast, but speed can mask flaws. Use them to explore, not as a final product

ai: How UX Research shapes AI Evals

AI evals shouldn’t rely on automated scores alone — human perception defines real quality. UX research identifies what users truly value (e.g., tone, personalization, clarity) and turns those insights into measurable evaluation criteria for LLM judges. By aligning AI outputs with human judgment, research closes the gap between technical performance and actual user trust, impact, and usefulness

experience: Shimoda Design Workshop 2025 — nanami.nishida729/how-i-understood-the-role-of-a-uxer-before-and-after-the-shimoda-design-workshop-2025-00f2005ce35c/?utm_source=tlgrm_uxdigest">How I Understood the Role of a UXer

Real-world constraints force tough trade-offs between user needs and business realities. The Shimoda workshop shattered the author’s romantic view of UX, revealing that accessibility is often deprioritized due to budgets and timelines. But true UXers don’t abandon users — they become strategic advocates, proving that user-centered design drives business value even within capitalist systems

opinion: bh3044/thoughts-on-use-affordances-practices-bafa771e0106/?utm_source=tlgrm_uxdigest">Thoughts on Models, Metaphors & Creativity

From desktop icons to corporate rebrands like Meta. They’re not just decoration; they frame our mental models and limit or expand what we imagine is possible. Design often inherits outdated metaphors (folders, pages) but can also invent new ones that reflect complex human realities instead of oversimplifying them with fear or nudges. True design responsibility means understanding users’ lived experiences, questioning who controls dominant metaphors, and creating interventions that respect complexity—not manipulate it

basics: Permission microcopy — Why the users always say no (and how to fix it)

Users say “no” to permissions not out of spite, but because they don’t see clear personal benefit — and designers often explain _what_ the app needs, not _what the user gains_. Timing matters: ask only at the moment of use, with contextual pre-prompts that boost acceptance from 12% to 70%. Effective microcopy follows one rule: “We need [X] so you can [do Y].” Add smart recovery flows, platform-specific UX, and accessibility — and turn denials into trust

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UX Professionals’ Job Satisfaction (2024–2025)

Average score fell to 70/100 from 74 in 2022 — driven by layoffs, AI anxiety, and team cuts (35% reported staff reductions vs. 17% in 2022). Despite the drop, UX remains on par with tech peers: designers and researchers report 70–76% satisfaction, comparable to data analysts, PMs, and engineers. Key drivers: income (>$100K = higher satisfaction), country (Canada 80, UK 59), and hours (40–49 hrs = peak balance); but salary alone explains only 8% of satisfaction variance — stability and purpose matter more

💳 Look past the smart glasses: Meta just unveiled the future of wearables

Meta’s new smart glasses aren’t just hardware—they’re a strategic move toward ambient, always-on computing. The real innovation isn’t in the display or camera, but in context-aware AI that anticipates needs without constant input. Future wearables will fade into the background, acting as silent assistants—making interfaces invisible, not flashy

🗞 digest: State of User Research 2025

UX research in 2025 thrives despite AI hype and layoffs — but influence now hinges on trust, not just methods. Top researchers act as strategic advisors: they align user insights with engineering realities, business goals, and product constraints. Impact comes from emotional credibility, honest uncertainty, and connecting stakeholders — not perfect sample sizes or polished reports

nng: 7 Deadly AI Sins for UX Professionals

AI tempts UX pros with 7 deadly sins: outsourcing thinking, wasting time, losing nuance, ideating alone, trusting blindly, creating bland outputs, and resisting change. The antidote? 7 virtues: ownership, automation of repeat tasks, selectivity with details, inclusive collaboration, healthy skepticism, originality, and active experimentation. Use AI as a thinking partner—not a crutch—to stay sharp, relevant, and human-centered

instrument: birdzhanhasan_26235/ux-research-tools-2025-6cdafe03440a/?utm_source=tlgrm_uxdigest">UX Research Tools 2025

AI-powered tools dominate UX research in 2025 — from automated interview analysis to real-time insight bots in Slack. Platforms like Dovetail, Marvin, and custom GPTs turn raw data into searchable, actionable knowledge, not just reports. The shift isn’t about fancier tech — it’s about making research continuously accessible, embedded in workflows, and trusted by teams

ai: AI-Augmented Workflows for UX Research — Making Insights Accessible and Actionable

Not by replacing researchers, but by making insights instantly findable and actionable. Slack bots, custom copilots and smart repositories turn static reports into living knowledge, surfacing evidence exactly when teams need it. The future isn’t chatbots — it’s purpose-built tools that embed research directly into product decisions, scaling impact without sacrificing rigor

case study: muuunira/ironhack-project-1-immigration-ux-case-study-7dab7009729c/?utm_source=tlgrm_uxdigest">Ironhack Project 1 — Immigration

Immigrant job seekers struggle with language barriers, complex applications, and lack of feedback — leading to low confidence and stalled careers. The team designed a mentorship app connecting newcomers with volunteers for 1:1 support, interview prep, and personalized job guidance. Built through user interviews and rapid prototyping, the solution focuses on clarity, emotional support, and actionable steps — not just translation

opinion: The End of the User Interface?

Interfaces are fading — not disappearing, but dissolving into context. AI, voice, sensors, and ambient computing shift interaction from screens to intent, making UI invisible yet more powerful. The future isn’t “no interface,” but **anticipatory design**: systems that act before you ask, guided by behavior, not buttons

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From extra to essential: Rethinking Accessibility in design and research

This article argues for shifting accessibility from an afterthought to a core design principle. It provides actionable strategies for integrating inclusive practices into every stage of the design and research process, ensuring products work for everyone. A vital read for building truly user-centric products

mayank.sabharwal/the-5-day-ux-research-sprint-that-actually-gets-things-done-29cd9ac74226/?utm_source=tlgrm_uxdigest">The 5-day UX Research sprint that actually gets things done

This article introduces a practical 5-day UX research sprint framework designed for fast, actionable outcomes. It breaks down each day with clear goals—from planning and recruitment to testing and synthesis—ensuring teams get rapid insights without sacrificing rigor. Perfect for agile environments needing quick, validated results

nng: Prioritize smarts over sentience to increase trust with AI

NN/g's article reveals that perceived competence and emotional tone are key to building user trust in AI. Users favor AI that feels smart but also warm and respectful, not just coldly efficient. The research provides guidelines for designing AI interactions that balance intelligence with empathy. Essential reading for ethical and effective AI UX

experience: From custody to user research — What working in prisons has taught me about listening, consent and the value of human connection in research

This powerful article draws parallels between working in prisons and conducting user research, highlighting profound lessons in ethical listening, genuine consent, and building trust in constrained environments. It challenges conventional research practices by emphasizing humility, context, and human dignity. A unique perspective on the core values of UX research

prototyping:errumaisha/buttons-vs-links-a-critical-ui-design-distinction-a864235989f0/?utm_source=tlgrm_uxdigest"> Buttons vs. Links — A critical UI Design distinction

This article clarifies the critical UI distinction between buttons and links: buttons trigger actions (e.g., "Submit"), while links navigate to new locations (e.g., "Learn more"). Misusing them confuses users and harms experience. The piece offers clear guidelines for consistent, intuitive design. A fundamental read for all designers

ai: The psychology of trust in AI — A guide to measuring and designing for user confidence

This Smashing Magazine article explores the psychology of trust in AI, detailing how to measure and design for user confidence. It emphasizes transparency, control, and reliability as key factors that make AI systems feel trustworthy. Essential insights for creating AI interfaces users actually believe in and use

opinion: Why MVPs might not be enough

This article argues that the traditional Minimum Viable Product (MVP) approach often falls short by prioritizing speed over real user value. It advocates for a shift towards Minimum Lovable Products (MLP) that focus on delivering meaningful, emotionally resonant experiences from the start. A thought-provoking read for product teams aiming to build lasting engagement

basics: UX testing — a practical step‑by‑step guide

This article provides a clear, step-by-step guide to practical UX testing, from planning and recruiting to conducting sessions and analyzing results. It emphasizes actionable methods to gather user feedback efficiently, even with limited resources. Perfect for teams looking to validate designs quickly and iteratively. A hands-on resource for embedding testing into any workflow

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Everyone wants a faster horse. We aim to please

The architecture of human error

Why your users are struggling — and how heuristic evaluation can fix it

💰 You might be a victim of corrupt personalization

nng: Template trap

prototyping: Does making users physically feel errors in mobile apps improve the experience? — A micro-level haptic feedback test

ai: Interviewing candidates with AI

opinion: Why are edtech tools typically designed for adults?

basic: User research for startups — Essential methods to start with

interesting: Theory as design material — How design researchers use design skills to explore the malleability of theory. Abstract here, pdf here

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Taming complex systems: bhoomika_63958/taming-complex-systems-how-i-applied-moca-to-ethnographic-data-in-internal-tools-ux-research-a931bd0ed7c1/?utm_source=tlgrm_uxdigest">How I applied MoCA to ethnographic data in Internal tools UX research

Measuring success in enterprise UX beyond conventional metrics: What really matters in B2B software

Blame the brain: Why more options make users less happy

nng: Onboarding and connecting smart devices — 5 guidelines for user-friendly smart-device apps

prototyping: UXwithKaranSingh/designing-gratitude-the-ux-of-tipping-9fc7d173f58a/?utm_source=tlgrm_uxdigest">Designing gratitude — The UX of tipping

📰 digest: AI-Assisted user research — A practical framework

ai: Human + machine — responsible AI workflows for UX research

opinion: Musings about a.rheannon.s/musings-about-ux-its-history-and-where-it-might-go-0f01e8861745/?utm_source=tlgrm_uxdigest">UX, its history, and where it might go

basic: Mastering the user interview process — dishant.salunke9/mastering-the-user-interview-process-a-product-managers-guide-to-insight-driven-decisions-29a521a9b3e1/?utm_source=tlgrm_uxdigest">A product manager’s guide to insight-driven decisions

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the importance of steffie.jean/the-importance-of-critical-thinking-in-user-research-05592ad9bc26/?utm_source=tlgrm_uxdigest">critical thinking in user research

segmenting users by defining LanaHung/segmenting-users-by-defining-user-properties-from-behavior-data-526a9dd102d6/?utm_source=tlgrm_uxdigest">user properties from behavior data

theory as design material: how design researchers use design skills to explore the malleability of theory (pdf)

nng: smart-device apps — 7 best practices to make devices truly smart

prototyping: designing for tv — principles, patterns and practical guidance and part 2

opinion: in defence of enshittification

experience: curiosity didn’t kill the cat — it made me a better researcher

interesting: 3 things a school bike bus taught me about design

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jemmafrost/ux-research-is-still-a-creative-process-de8f9ccf2554/?utm_source=tlgrm_uxdigest">ux research is still a creative process

what if your health had a credit score?

the user experience of ai-based chat software (2025)

ux and nps benchmarks of pet websites (2025)

💵 llms in scientific research: the error(s) of their ways

ai: how ai succeeds (and fails) to help people find information

opinion: how to introduce ux research into a new space — shelley.khan/how-to-introduce-ux-research-into-a-new-space-a-user-researchers-take-on-discovery-in-advertising-7ef3a184f89a/?utm_source=tlgrm_uxdigest">a user researcher’s perspective on discovery in advertising

basics: 5 types of usability testing every founder should know in 2025

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sorry, guys, a lot of materials have been collected in 3 weeks, i will try to release them in the near future, and at the same time we will go to the standard schedule

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the afterlife of ux research: how to ensure insights lead to action

nng: the 3 i’s of microcopy - inform, influence, and interact

ai: mitigating the risks of using genai in ux design and user research

experience: reachpragyagupta/from-journalism-to-ux-a-skill-i-never-thought-id-use-again-f78dfbd9f45e/?utm_source=tlgrm_uxdigest">from journalism to ux - a skill i never thought i’d use again

basic: co-design diaries - faiza.peeran/co-design-diaries-whats-in-a-name-a44a42f2c8b4/?utm_source=tlgrm_uxdigest">what’s in a name?

interesting: building with users in mind - charisol’s research approach

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when swiping supplants scissors: the hidden cost of touchscreens — and how designers can help

are you still ignoring accessibility? you could soon face fines and lawsuits

ai: should ux designers trust ai with user behaviour analysis?

opinion: nikitasaner.work/why-wellness-apps-are-failing-real-people-77a7e242f232/?utm_source=tlgrm_uxdigest">why wellness apps are failing real people?

ui: crafting better ui with intent - sanskardrolia/crafting-better-ui-with-intent-my-design-system-for-web-interfaces-2bf89744428d/?utm_source=tlgrm_uxdigest">my design system for web interfaces

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how to get comfortable with quantitative ux research

a designer’s guide to wcag accessibility

🗞 digest: ux research in 2025. why old-school skills matter again

nng: mixed-methods research - combining qualitative and quantitative data

prototyping: few guesses, more success - 4 principles to reduce cognitive load in forms

ai: mitigating the risks of using genai in ux design and user research

basics: the cost of skipping ux research (uxsurvivalguide/the-cost-of-skipping-ux-research-and-how-to-make-sure-it-doesnt-happen-52f9e539619c/?utm_source=tlgrm_uxdigest">and how to make sure it doesn’t happen)

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it’s time for chip_stevens/its-time-for-the-5-whys-to-die-072f08e6033c/?utm_source=tlgrm_uxdigest">the 5 whys to die

might not be a magic number but there are magic ranges

evaluating impact - most significant change

nng: ux maturity is a living system, not a ladder

prototyping: when life gets hard, finding help online shouldn’t be

ai: how ai is quietly rewriting the rules of ux design

opinion: is user research overrated?

interesting: why msato0202/why-mvps-struggle-in-japan-5a682cdca856/?utm_source=tlgrm_uxdigest">mvps struggle in japan

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from reports to sharper decisions — making user research work harder

same problem, different words — designing real b2b product for japan and the us

📼 nng: return of the generalist

prototyping: going to the gym shouldn’t be so hard

case study: user journey a ride worth building — MrPandey_AN/user-journey-a-ride-worth-building-crafting-vruns-end-to-end-digital-journey-4926bf835ed7/?utm_source=tlgrm_uxdigest">crafting vrun’s end-to-end digital journey

opinion: bias Is everywhere — ukgqee/bias-is-everywhere-what-ux-and-hr-can-learn-from-each-other-983b800cd37c/?utm_source=tlgrm_uxdigest">what ux and hr can learn from each other

ui: design is a language

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