Podcasts about UX

Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Everett Swain II. Purpose of the Interview The interview aims to: Highlight alternative pathways to high-paying careers without a traditional four-year degree. Showcase how UXD Academy, founded by Everett Swain II, empowers individuals—especially from underserved communities—to leverage AI and design skills for financial and academic freedom. Inspire entrepreneurs and small business owners to embrace AI-driven opportunities. Key Takeaways AI as an Opportunity, Not a Threat AI can amplify human capabilities rather than replace them. Small businesses see 80% positive ROI from AI adoption, making it a major growth lever. Career Without a Degree Over 40% of tech companies no longer require degrees, focusing instead on certifications and portfolios. UXD Academy teaches AI experience design and automation for learners as young as 13. Everett’s Journey Started as a graphic designer, pivoted to UX after self-learning via “YouTube University.” Built UXD Academy to democratize access to tech careers and fight industry gatekeeping. Business Model UXD Academy offers free resources and paid guidance. Created Our Table, an AI experience agency employing top students for real-world projects. Impact on Underserved Communities Programs can transform lives, moving individuals from low-income jobs to salaries of $75K–$140K within 3 years. Focus on youth (starting at age 13) to break cycles of poverty and limited exposure. Future AI Trends for Small Businesses AI agents, automated workflows, and AI-powered customer experiences will dominate in the next 12–18 months. Legacy Everett aims to help 100,000 youth create their own reality through tech education. Notable Quotes On AI’s role:“Think of AI as the smartest intern you know—you can train it to work specifically for you.” On education:“You don’t need a degree for what I do. Over 40% of tech companies don’t care about degrees anymore—they care about your portfolio.” On opportunity:“If you follow what I’m telling you, you can change your life in under a year and a half.” On underserved communities:“For the first time in history, people of color can bridge the gap to academic and financial freedom without a four-year degree.” On legacy:“If I can help 100,000 kids create their own reality, that will be my legacy.” #SHMS #STRAW #BESTSupport the show: https://www.steveharveyfm.com/See omnystudio.com/listener for privacy information.

Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Everett Swain II. Purpose of the Interview The interview aims to: Highlight alternative pathways to high-paying careers without a traditional four-year degree. Showcase how UXD Academy, founded by Everett Swain II, empowers individuals—especially from underserved communities—to leverage AI and design skills for financial and academic freedom. Inspire entrepreneurs and small business owners to embrace AI-driven opportunities. Key Takeaways AI as an Opportunity, Not a Threat AI can amplify human capabilities rather than replace them. Small businesses see 80% positive ROI from AI adoption, making it a major growth lever. Career Without a Degree Over 40% of tech companies no longer require degrees, focusing instead on certifications and portfolios. UXD Academy teaches AI experience design and automation for learners as young as 13. Everett’s Journey Started as a graphic designer, pivoted to UX after self-learning via “YouTube University.” Built UXD Academy to democratize access to tech careers and fight industry gatekeeping. Business Model UXD Academy offers free resources and paid guidance. Created Our Table, an AI experience agency employing top students for real-world projects. Impact on Underserved Communities Programs can transform lives, moving individuals from low-income jobs to salaries of $75K–$140K within 3 years. Focus on youth (starting at age 13) to break cycles of poverty and limited exposure. Future AI Trends for Small Businesses AI agents, automated workflows, and AI-powered customer experiences will dominate in the next 12–18 months. Legacy Everett aims to help 100,000 youth create their own reality through tech education. Notable Quotes On AI’s role:“Think of AI as the smartest intern you know—you can train it to work specifically for you.” On education:“You don’t need a degree for what I do. Over 40% of tech companies don’t care about degrees anymore—they care about your portfolio.” On opportunity:“If you follow what I’m telling you, you can change your life in under a year and a half.” On underserved communities:“For the first time in history, people of color can bridge the gap to academic and financial freedom without a four-year degree.” On legacy:“If I can help 100,000 kids create their own reality, that will be my legacy.” #SHMS #STRAW #BESTSee omnystudio.com/listener for privacy information.

Ever had trouble defining UX? Confused by all the definitions you've heard? You're not alone. In this episode, Darren demystifies the definition of UX, provides some key insights, and explains why the ability to properly define UX is critical to the discipline.REMINDER: Video is available for this episode via select resources. #ux#podcasts#cxofmradio#cxofm#realuxtalk#worldofux#worldouxBookmark the new World of UX website at https://www.worldoux.com. Visit the UX Uncensored blog at https://uxuncensored.medium.com. Get your specialized UX merchandise at https://www.kaizentees.com.

Ethereum is transparent by design, and that's a problem if you don't want your entire financial life on display. Rand Hindi, co-founder of Zama, joins us to explain how fully homomorphic encryption (FHE) can turn Ethereum into an encrypted, confidential blockchain where contracts stay composable and UX feels exactly the same. We get into why blockchains were public in the first place, why “anonymous addresses” were never enough, how FHE compares to ZK and MPC, and what a world of private DeFi, encrypted stablecoins, and on-chain “digital immortality” could look like.  ------

The interest in “customer insights” is higher than ever, and more people are interested in both research insights and carrying out research on their own. But, who's making sure research is done well? Therese sits down with Ned Dwyer, CEO and co-founder of Great Question, to talk about the balance between access and rigor in UX research. They discuss the need for democratization charters, how AI is reshaping research roles, and why enabling good research at scale is as much a cultural challenge as it is a technical one.Connect with Ned Dwyer: LinkedInLearn more about Great QuestionSubscribe to Great Question's NewsletterLearn about UX: nngroup.com/learningRelated NN/g Courses & Articles:ResearchOps: Scaling User Research (UX Certification course)Democratize Research in 5 Steps (free article)Democratization of UX (13-min video)

On this episode of Crazy Wisdom, I, Stewart Alsop, sit down with Dax Raad, co-founder of OpenCode, for a wide-ranging conversation about open-source development, command-line interfaces, the rise of coding agents, how LLMs change software workflows, the tension between centralization and decentralization in tech, and even what it's like to push the limits of the terminal itself. We talk about the future of interfaces, fast-feedback programming, model switching, and why open-source momentum—especially from China—is reshaping the landscape. You can find Dax on Twitter and check an example of what can be done using OpenCode in this tweet.Check out this GPT we trained on the conversationTimestamps00:00 Stewart Alsop and Dax Raad open with the origins of OpenCode, the value of open source, and the long-tail problem in coding agents. 05:00 They explore why command line interfaces keep winning, the universality of the terminal, and early adoption of agentic workflows. 10:00 Dax explains pushing the terminal with TUI frameworks, rich interactions, and constraints that improve UX. 15:00 They contrast CLI vs. chat UIs, discuss voice-driven reviews, and refining prompt-review workflows. 20:00 Dax lays out fast feedback loops, slow vs. fast models, and why autonomy isn't the goal. 25:00 Conversation turns to model switching, open-source competitiveness, and real developer behavior. 30:00 They examine inference economics, Chinese open-source labs, and emerging U.S. efforts. 35:00 Dax breaks down incumbents like Google and Microsoft and why scale advantages endure. 40:00 They debate centralization vs. decentralization, choice, and the email analogy. 45:00 Stewart reflects on building products; Dax argues for healthy creative destruction. 50:00 Hardware talk emerges—Raspberry Pi, robotics, and LLMs as learning accelerators. 55:00 Dax shares insights on terminal internals, text-as-canvas rendering, and the elegance of the medium.Key InsightsOpen source thrives where the long tail matters. Dax explains that OpenCode exists because coding agents must integrate with countless models, environments, and providers. That complexity naturally favors open source, since a small team can't cover every edge case—but a community can. This creates a collaborative ecosystem where users meaningfully shape the tool.The command line is winning because it's universal, not nostalgic. Many misunderstand the surge of CLI-based AI tools, assuming it's aesthetic or retro. Dax argues it's simply the easiest, most flexible, least opinionated surface that works everywhere—from enterprise laptops to personal dev setups—making adoption frictionless.Terminal interfaces can be richer than assumed. The team is pushing TUI frameworks far beyond scrolling text, introducing mouse support, dialogs, hover states, and structured interactivity. Despite constraints, the terminal becomes a powerful “text canvas,” capable of UI complexity normally reserved for GUIs.Fast feedback loops beat “autonomous” long-running agents. Dax rejects the trend of hour-long AI tasks, viewing it as optimizing around model slowness rather than user needs. He prefers rapid iteration with faster models, reviewing diffs continuously, and reserving slower models only when necessary.Open-source LLMs are improving quickly—and economics matter. Many open models now approach the quality of top proprietary systems while being far cheaper and faster to serve. Because inference is capital-intensive, competition pushes prices down, creating real incentives for developers and companies to reconsider model choices.Centralization isn't the enemy—lack of choice is. Dax frames the landscape like email: centralized providers dominate through convenience and scale, but the open protocols underneath protect users' ability to choose alternatives. The real danger is ecosystems where leaving becomes impossible.LLMs dramatically expand what individuals can learn and build. Both Stewart and Dax highlight that AI enables people to tackle domains previously too opaque or slow to learn—from terminal internals to hardware tinkering. This accelerates creativity and lowers barriers, shifting agency back to small teams and individuals.

In most industries, if you've got a solid idea, a few engineers, and a working prototype, you can at least get in the game. Professional sports is not one of those industries. When Jordy Leiser co-founded Jump with Alex Rodriguez and Marc Lore, he wasn't just building software — he was trying to rebuild the entire fan experience from the ground up, in a business dominated by legacy players like Ticketmaster.  Four years later, his company is powering the digital backbone for teams like the Minnesota Timberwolves and North Carolina Courage. In this episode, Jordy explains what it actually takes to break into a closed industry, why he reverse-engineers every funding round before he raises it, and the biggest mistake he refused to repeat as a second-time founder. RUNTIME 53:07 EPISODE BREAKDOWN (1:12) Breaking into pro sports, rebuilding fan experience, and reverse-engineering fundraising. (2:03) How Stella Connect (customer service) laid the foundation for Jump (customer experience for fans). (2:58) What Jump does today: a unified fan experience + data platform for teams. (4:11) The unusual founding plan: 3-4 years of R&D, designed to launch with an NBA franchise from day one. (5:46) Why sports is nothing like building a typical SaaS startup — more like a “car company” level of complexity. (6:48)The true barrier: a near-monopoly in ticketing that stops innovation cold. (7:59) Selling into a market where fans have low expectations — and why demand is obvious but still untapped. (9:54) Early customers as classic early adopters — every team already knows the pain points intimately. (11:25) The first hypothesis they had to kill: incumbents don't want to integrate or share data. At all. (12:32) Designing for the actual fan demographic: season ticket holders skew 50+, so “cutting-edge UX” isn't always the answer. (13:25) Jordy's advice to founders: get out of the building, talk to insiders, but keep your “child's mind.” (15:06) Sports as an industry you can't “hack into” — it works more like fashion or Hollywood. (17:31) Moments when he realized he was losing stakeholders — and why being “comfortable in the uncomfortable” is essential. (18:03) Early would-be partners who backed out, the impact on morale, and what they learned from those rejections. (19:45) Jump's origin as a “dynamic seating” idea — and why they had to build the entire platform instead. (21:03) The “invisible platform” ethos: why Jump melts into the background so teams can own the fan relationship. (23:10) Why NWSL teams and NBA franchises have surprisingly similar needs — and what that taught them about productizing. (24:36) Jordy's litmus test for platform vs. point solution: how many people in the org depend on you to do their job? (27:01) Seed to Series A timeline — and how the Timberwolves sale collapsing delayed everything by a year. (28:37HaHow Jordy processed a crisis that was public, sudden, and existential. (31:13) The Long Beach pier walk: the moment he decided to pivot the GTM to a crawl-walk-run strategy. (32:49) Effectuation theory, the “bird in hand,” and how it led to NCAA → NWSL → Timberwolves as a survival sequence. (34:39) What he had to unlearn from Stella Connect: stop zooming in — zoom way out to a 10–20-year vision. (37:05) The habit he kept: talent above all else — and why his first call was to a Chief People Officer. (38:45) Minimum viable people function for early founders: fractional HR > junior recruiter. (42:58) High performance without grind culture: intensity ≠ toxicity — and why durability matters more than speed. (45:40) Hiring from big tech: what's actually transferable, and the dangers of logo-blindness. (50:55) The one answer Jordy would need from a founder-CEO before he'd join their startup. LINKS Jordy Leiser Jump Alex Rodriguez Marc Lore Jump Series A announcement Delivering Happiness: A Path to Profits, Passion, and Purpose, Tony Shieh Effectuation — UVA Darden School of Business SUBSCRIBE

Sure built the technology infrastructure enabling the world's biggest consumer brands to embed complex insurance products directly into their core transactions—from auto purchases to home loans. In this episode of BUILDERS, Wayne Slavin shares how Sure pivoted from a consumer mobile app to B2B infrastructure after insurance executives kept pulling engineers into boardrooms to see the backend, why prospects who choose to build end up on Sure's "wall of shame" after their attempts fail, and the vertical integration strategy that could make legacy carriers obsolete within 20 years. Topics Discussed Sure's founding: turbulence on a Vegas flight led to a prototype that converted 15.91% from ad click to insurance purchase The accidental pivot to B2B infrastructure when insurance C-suites started calling people into boardrooms to see Sure's backend system How Sure became "chameleons" matching each partner's corner radius, modal behavior, and loader effects to avoid breaking product experiences The three failed paths that create Sure's best customers: DIY builds, direct carrier partnerships, and naive marketplace strategies Why buy-versus-build objections signal misaligned incentives—enterprise buyers trading career-safe "buy" budgets for execution-risk "build" projects The vertical integration roadmap: from collaborative carrier partnerships toward turnkey solutions backed by sovereign wealth funds AppleCare as the embedded insurance template: multi-decabillion dollar business now integrated into device selection, storage, color, and financing flows GTM Lessons For B2B Founders Run weekend demand tests before year-long regulatory builds: Wayne built a prototype over a long weekend and drove traffic through Google and Facebook ads to test first principles—do people want to buy insurance online, how soon before travel, how much coverage? The 15.91% conversion rate justified committing a full year to regulatory partnerships before bringing on a team. For founders in regulated spaces, creative demand validation derisks the compliance investment required before launch. Watch what gets pulled into the boardroom: Sure pitched their mobile app to insurance C-suites who responded with polite interest. Then executives started calling colleagues into meetings specifically to see Sure's backend operations system—the infrastructure they'd spent hundreds of millions trying to build. After three or four meetings with the same pattern, Wayne realized the backend was the product. Pay attention when prospects ignore your intended offering but get animated about something else entirely. Target solution-aware buyers who've already failed: Sure's most successful customers fall into three categories: those who tried building themselves and lost institutional knowledge when engineers left, those who partnered directly with carriers who took customers away and sold them competing products, or those who naively tried offering 50 insurance options when California markets now have two viable carriers. Wayne explicitly doesn't consider prospects choosing to build as their ICP—they lack awareness of execution risk and will waste Sure's time before returning years later. Treat build decisions as pipeline, not losses: A prospect from 2020 called yesterday after their DIY attempt resulted in three people leaving the company with nobody understanding how their cobbled system works. Sure maintains a "wall of shame" tracking decision-makers who chose to build and no longer work at those companies. For infrastructure plays with 18-36 month sales cycles, maintain relationships with build-path prospects—they're future pipeline once reality hits. Product integration depth wins embedded deals: Sure's differentiation isn't database speed—it's becoming invisible within partners' products. Wayne describes matching exact corner radius, modal patterns, and loader effects so product teams don't fight the insurance insertion. This requires deep product expertise across partners' stacks. For embedded solutions, technical flexibility that respects existing UX decisions matters more than raw performance metrics. Sure enables complex insurance purchases without customers touching their keyboard—everything pre-filled from partner data. Map internal buyer incentives in enterprise deals: Wayne observed that enterprise buyers face perverse incentives: requesting more budget and resources for build projects looks good internally, but they're unknowingly trading stable "buy" expenditures for career-ending execution risk. Large companies will pay "a bajillion dollars to Salesforce" because it works and removes risk, not because anyone loves it. Help champions articulate how buying derisks their execution versus the alternative—it's not about your product superiority, it's about their job security. //   Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role.   Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

Ryan and Becca recap Ryan's two-week “pottery vacation,” where he stepped away from his day job to experience what full-time pottery could feel like. They talk through the technical challenges he tackled, the shows he prepared for, and the sales strategies he experimented with. Ryan also reflects on managing his health, energy, and work-life balance during the break. They wrap up with how the experience shaped his outlook on future goals and how pottery fits alongside his career as a UX engineer.SponsorsL&L Kilns - The durable kiln that potters trust to fire evenly & consistently. Find your L&L kiln at hotkilns.comSoolla® - The brand-new Studio Pouch from Soolla is the perfect sidekick to your studio bag, designed to keep your favorite tools organized and close at hand. Available in eleven colors and durable, machine-washable canvas. Find your new studio bag at soolla.co and save 15% at checkout with coupon code "WHEELTALK" (exclusions may apply).Support the show on Patreon for as little as $3 per month: https://patreon.com/WheeltalkpodcastFollow us on Instagram:@wheeltalkpodcast@rdceramics@5linespotteryVisit our website:www.wheeltalkpotcast.comWheel Talk YouTube Channel

Laurent Kretz reçoit Julien Azzi, Head of Digital du Ritz Paris, cette maison qui fait rêver le monde entier depuis 1898. Pendant plus d'un siècle, le Ritz a posé les standards de l'hospitalité. Mais comment une institution de cette ampleur aborde-t-elle aujourd'hui un virage digital accéléré ? Julien raconte comment le Ritz, bien que reconnu mondialement, reste une PME qui joue dans la cour des grands : entre les attentes du marché, les clients exigeants et les offres multiples à coordonner, il dévoile les défis qu'ils ont rencontrés : rattraper 10 à 15 ans de digitalisation en quelques années seulement. Au programme00:00:00 - Introduction00:06:20 - Le Ritz comme institution et référence mondiale du luxe00:14:20 - Une grande marque avec une organisation de PME00:21:15 - Le virage digital00:36:07 - Multiplication des outils métiers dans l'hôtellerie00:36:30 - Refonte complète : UX unifiée et structure headless00:44:03 - Innovation : la homepage immersive “24h au Ritz”00:49:40 - CRM : structuration et unification des données01:09:13 - What's next : enjeux du Ritz pour 2026Et quelques dernières infos à vous partager :Suivez Le Panier sur Instagram @lepanier.podcast !Inscrivez- vous à la newsletter sur lepanier.io pour cartonner en e-comm !Écoutez les épisodes sur Apple Podcasts, Spotify ou encore Podcast AddictHébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

Industry leaders from Boomi, Demandbase and Smarsh share hard-won lessons on balancing AI creativity with guardrails, why data quality trumps frameworks, and deploying AI at scale.Topics Include:Three industry leaders share experiences building AI solutions at Boomi, Demandbase, and Smarsh.Smarsh manages trillion communications for financial services, detecting bad actors across multiple channels.Boomi built agent studio, garden, and control tower while spawning 33,000 internal agents.Chris Timmerman used vibe coding to build embeddable Boomi in five months solo.Companies balance creativity with guardrails, starting with IT policies before unleashing innovation.Internal adoption driven by empowering teams to build their own solutions versus top-down.Demandbase saw 70% adoption within six months through grassroots approach and local champions.Measuring success proves challenging, comparable to tracking Excel usage rather than specific KPIs.Companies focus on outcomes like touch-free bug fixes and support metrics versus raw usage.Biggest lesson: Data quality and context determine success more than agentic frameworks.Need scaling framework from low-risk UX improvements to high-risk automation with appropriate guardrails.Industry created fatigue by overpromising; should have started smaller with realistic expectations.Participants:Chris Timmerman – Vice President, Global Services Delivery, BoomiHarshal Dedhia – Vice President of AI, DemandbaseBrandon Carl - Executive Vice President of AI and Product Strategy, SmarshAllison Johnson - AMER Technology Partnerships Leader, Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Subscribe to DTC Newsletter - https://dtcnews.link/signupJocelyn from Pilothouse breaks down how their team stays aggressive, adapts fast, and helps clients scale efficiently—even on the actual day of Black Friday.For media buyers and growth teams optimizing in real-time...What to do when your CPMs and CACs spike day-ofWhy legacy evergreen might outperform your BFCM creativeThe one Canva trick Jocelyn uses to refresh high-cost ads fastWhat Rebuy is and how it helped one brand double YoY revenueHow Pilothouse pushes Meta's algorithm before it catches trend shiftsWho this is for: DTC brands, marketers, and performance teams deep in BFCM trench warfareWhat to steal:Canva border hack to make organic product shots pop for BFCMSimplify site UX: static banners, one clear offer, above-the-fold CTADon't trust one dashboard—use the data triangle: Shopify, Meta, Triple WhaleTimestamps00:00 Black Friday PPC shifts and customer acquisition02:05 Scrappy creatives that cut CPMs and boost conversions04:20 Top of funnel focus and new customer strategies06:30 Website optimizations to increase conversion rate today08:50 How one brand hit 100 percent year over year growth11:10 Dealing with delayed attribution and platform discrepancies13:15 How Rebuy boosts AOV and top line revenue15:20 Guiding the algorithm and deep audience persona testing17:35 Wellness category trends and emerging demo shifts18:55 Healthier on-platform metrics through segmentationHashtags#dtcpodcast #blackfridaymarketing #ecommercetips #pilothouse #metaads #googleads #paidmedia #shopifybrands #rebuy #conversionrateoptimization #ecomstrategy #digitalmarketingtips Subscribe to DTC Newsletter - https://dtcnews.link/signupAdvertise on DTC - https://dtcnews.link/advertiseWork with Pilothouse - https://www.pilothouse.co/?utm_source=AKNF563Follow us on Instagram & Twitter - @dtcnewsletterWatch this interview on YouTube - https://dtcnews.link/video

В этом сезоне мы говорим о дизайне, не только как о визуальном решении, а как о работе, которую не всегда можно увидеть, но которая создает полноценный, человечный опыт.В гостях Наташа Спрогис, глава UX-исследователей в Авито. Мы поговорили о невидимой работе исследователя, как их работа делает продукт человечным и как дизайнеру развивать навыки исследователя.В выпуске упоминали:Книга Роб Фицпатрик «Спроси Маму»Книга Jeffrey Rubin, Dana Chisnell “Handbook of Usability Testing: How to Plan, Design, and Conduct Effective Tests”Канал Константина Ефимова и Анастасии Жичкиной @postpostresearch Подборка вдохновляющих аккаунтов:Лера Курмак, канал «Не исключение: об инклюзии в цифровом и физическом мире» https://telegram.me/neiskluchenieЮля Кожухова, канал «Speaking about my research» https://telegram.me/uxresearchuxМарина Суслова, Статьи на VC.ru https://vc.ru/id269137Телеграм канал проекта Ladies, Wine & Design. Moscow: https://telegram.me/lwdmoscowВедущие подкаста: Инесса Ли https://telegram.me/inessali и Аля Хмелёва https://telegram.me/a_shmelevskyМузыка и сведение звука Ксения Казанцева: https://telegram.me/ksumuseСезон записан в партнерстве с Avito Design Team.Реклама. ООО “Авито Тех”. ИНН 9710089440erid: CQH36pWzJqLHuT4PmLjxYDUdTVStCfQTffH9G2geruVVG2

In this repeat episode, Dominik Dorfmeister unpacks the pitfalls of React's useCallback and useMemo, revealing how these hooks often introduce more complexity than performance gains. He explores the promise of the React Compiler, the practical power of the “latest ref” pattern, and strategies to boost code readability and maintainability at scale. Learn why overusing useEffect and manual memoization can do more harm than good, and how teams can level up their PR reviews and performance practices using tools like the ESLint React Compiler plugin. Links Bluesky: https://bsky.app/profile/tkdodo.eu Github: https://github.com/tkdodo X: https://x.com/TkDodo Resources The Useless useCallback: https://tkdodo.eu/blog/the-useless-use-callback Chapters 00:00 Why talk about useCallback and useMemo 00:40 Are useCallback and useMemo actually useless? 02:00 When (if ever) memoization is worth it 07:30 Pitfalls of overusing memoization in PRs and team guidelines 12:10 Latest ref pattern as an alternative 18:40 React Compiler and ESLint support 23:30 Why self-reviews help catch unnecessary memoization 28:10 Do React docs encourage over-optimization? 33:00 Advice for React developers We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Fill out our listener survey (https://t.co/oKVAEXipxu)! Let us know by sending an email to our producer, Elizabeth, at elizabet.becz@logrocket.com (mailto:elizabeth.becz@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. (https://logrocket.com/signup/?pdr) Special Guest: Dominik Dorfmeister.

In this second part of my three-part series (catch Part I via episode 182), I dig deeper into the key idea that sales in commercial data products can be accelerated by designing for actual user workflows—vs. going wide with a “many-purpose” AI and analytics solution that “does more,” but is misaligned with how users' most important work actually gets done.   To explain this, I will explain the concept of user experience (UX) outcomes, and how building your solution to enable these outcomes may be a dependency for you to get sales traction, and for your customer to see the value of your solution. I also share practical steps to improve UX outcomes in commercial data products, from establishing a baseline definition of UX quality to mapping out users' current workflows (and future ones, when agentic AI changes their job). Finally, I talk about how approaching product development as small “bets” helps you build small, and learn fast so you can accelerate value creation.    Highlights/ Skip to: Continuing the journey: designing for users, workflows, and tasks (00:32) How UX impacts sales—not just usage and  adoption(02:16) Understanding how you can leverage users' frustrations and perceived risks as fuel for building an indispensable data product (04:11)  Definition of a UX outcome (7:30) Establishing a baseline definition of product (UX) quality, so you know how to observe and measure improvement (11:04 ) Spotting friction and solving the right customer problems first (15:34) Collecting actionable user feedback (20:02) Moving users along the scale from frustration to satisfaction to delight (23:04) Unique challenges of designing B2B AI and analytics products used for decision intelligence (25:04) Quotes from Today's Episode One of the hardest parts of building anything meaningful, especially in B2B or data-heavy spaces, is pausing long enough to ask what the actual ‘it' is that we're trying to solve. People rush into building the fix, pitching the feature, or drafting the roadmap before they've taken even a moment to define what the user keeps tripping over in their day-to-day environment.   And until you slow down and articulate that shared, observable frustration, you're basically operating on vibes and assumptions instead of behavior and reality.   What you want is not a generic problem statement but an agreed-upon description of the two or three most painful frictions that are obvious to everyone involved, frictions the user experiences visibly and repeatedly in the flow of work.   Once you have that grounding, everything else prioritization, design decisions, sequencing, even organizational alignment suddenly becomes much easier because you're no longer debating abstractions, you're working against the same measurable anchor.   And the irony is, the faster you try to skip this step, the longer the project drags on, because every downstream conversation becomes a debate about interpretive language rather than a conversation about a shared, observable experience. __ Want people to pay for your product? Solve an *observable* problem—not a vague information or data problem. What do I mean? “When you're trying to solve a problem for users, especially in analytical or AI-driven products, one of the biggest traps is relying on interpretive statements instead of observable ones.   Interpretive phrasing like ‘they're overwhelmed' or ‘they don't trust the data' feels descriptive, but it hides the important question of what, exactly, we can see them doing that signals the problem.   If you can't film it happening, if you can't watch the behavior occur in real time, then you don't actually have a problem definition you can design around.   Observable frustration might be the user jumping between four screens, copying and pasting the same value into different systems, or re-running a query five times because something feels off even though they can't articulate why.   Those concrete behaviors are what allow teams to converge and say, ‘Yes, that's the thing, that is the friction we agree must change,' and that shift from interpretation to observation becomes the foundation for better design, better decision-making, and far less wasted effort.   And once you anchor the conversation in visible behavior, you eliminate so many circular debates and give everyone, from engineering to leadership, a shared starting point that's grounded in reality instead of theory." __ One of the reasons that measuring the usability/utility/satisfaction of your product's UX might seem hard is that you don't have a baseline definition of how satisfactory (or not) the product is right now. As such, it's very hard to tell if you're just making product *changes*—or you're making *improvements* that might make the product worth paying for at all, worth paying more for, or easier to buy. "It's surprisingly common for teams to claim they're improving something when they've never taken the time to document what the current state even looks like. If you want to create a meaningful improvement, something a user actually feels, you need to understand the baseline level of friction they tolerate today, not what you imagine that friction might be. Establishing a baseline is not glamorous work, but it's the work that prevents you from building changes that make sense on paper but do nothing to the real flow of work. When you diagram the existing workflow, when you map the sequence of steps the user actually takes, the mismatches between your mental model and their lived experience become crystal clear, and the design direction becomes far less ambiguous. That act of grounding yourself in the current state allows every subsequent decision, prioritizing fixes, determining scope, measuring progress, to be aligned with reality rather than assumptions. And without that baseline, you risk designing solutions that float in conceptual space, disconnected from the very pains you claim to be addressing." __ Prototypes are a great way to learn—if you're actually treating them as a means to learn, and not a product you intend to deliver regardless of the feedback customers give you.  "People often think prototyping is about validating whether their solution works, but the deeper purpose is to refine the problem itself. Once you put even a rough prototype in front of someone and watch what they do with it, you discover the edges of the problem more accurately than any conversation or meeting can reveal. Users will click in surprising places, ignore the part you thought mattered most, or reveal entirely different frictions just by trying to interact with the thing you placed in front of them. That process doesn't just improve the design, it improves the team's understanding of which parts of the problem are real and which parts were just guesses. Prototyping becomes a kind of externalization of assumptions, forcing you to confront whether you're solving the friction that actually holds back the flow of work or a friction you merely predicted. And every iteration becomes less about perfecting the interface and more about sharpening the clarity of the underlying problem, which is why the teams that prototype early tend to build faster, with better alignment, and far fewer detours." __ Most founders and data people tend to measure UX quality by “counting usage” of their solution. Tracking usage stats, analytics on sessions, etc. The problem with this is that it tells you nothing useful about whether people are satisfied (“meets spec”) or delighted (“a product they can't live without”). These are product metrics—but they don't reflect how people feel. There are better measurements to use for evaluating users' experience that go beyond “willingness to pay.”  Payment is great, but in B2B products, buyers aren't always users—and we've all bought something based on the promise of what it would do for us, but the promise fell short. "In B2B analytics and AI products, the biggest challenge isn't complexity, it's ambiguity around what outcome the product is actually responsible for changing.   Teams often define success in terms of internal goals like ‘adoption,' ‘usage,' or ‘efficiency,' but those metrics don't tell you what the user's experience is supposed to look like once the product is working well.   A product tied to vague business outcomes tends to drift because no one agrees on what the improvement should feel like in the user's real workflow.   What you want are visible, measurable, user-centric outcomes, outcomes that describe how the user's behavior or experience will change once the solution is in place, down to the concrete actions they'll no longer need to take.   When you articulate outcomes at that level, it forces the entire organization to align around a shared target, reduces the scope bloat that normally plagues enterprise products, and gives you a way to evaluate whether you're actually removing friction rather than just adding more layers of tooling.   And ironically, the clearer the user outcome is, the easier it becomes to achieve the business outcome, because the product is no longer floating in abstraction, it's anchored in the lived reality of the people who use it."   Links Listen to part one: Episode 182  Schedule a Design-Eyes Assessment with me and get clarity, now.

In this episode of Future of UX, we explore the real economics behind today's AI tools.Why are some tools stable while others quietly burn money?What does OpenAI's IPO tell us about where the industry is heading?And what should designers expect in the next 1–3 years?A clear, easy-to-understand breakdown for anyone designing in an AI-driven world.Why AI is so expensive (training vs. inference costs)How AI companies make money (and where they lose it)Who's profitable vs. who's burning cashWhy cloud providers shape the whole industryWhat OpenAI's IPO really signalsHow stable major design-related AI tools actually areWhat designers should expect next: pricing, consolidation, workflow changesAI for Designers: 5-week Bootcamp

Be honest: when you pull up your website… do you cringe a little? In this episode, hosts Liz Hunt and Chelsea Poppens dive into the real signs it might be time for a website rebuild, from outdated design and clunky tech to slow load times, poor user experience, and branding that no longer fits who you are. You'll learn: The biggest red flags that scream “rebuild now” When a refresh is enough (and when it's not) Why mobile, accessibility and site speed matter more than ever How bad UX quietly kills your leads When NOT to hire an agency (yes, really) Plus… a pregnancy disclaimer, emotional support dogs, and a few unfiltered opinions on ugly websites. Enjoy!

In this episode, Travis and producer Eric dive into breaking sports media news: ESPN and Penn Entertainment unwinding their $2 billion, 10-year ESPN Bet partnership just two years after launch and pivoting into a new multi-year deal with DraftKings. They unpack what this says about ESPN's fading dominance, DraftKings' position as the default sportsbook brand, and how Barstool founder Dave Portnoy continues to land on his feet after Penn sold Barstool back to him and rebranded to ESPN Bet. Along the way, they draw parallels to Disney's evolving “family-friendly” branding strategy, the broader shift from legacy TV to social-first sports media, and why product quality and user behavior matter more than just a big name.​​ On this episode we talk about: The stunning early termination of the ESPN–Penn Entertainment $2B, 10-year ESPN Bet deal, effective December 1, 2025, after ESPN Bet failed to crack meaningful market share.​ Why ESPN Bet reportedly struggled to get above ~5% market share and never hit “top three” sportsbook status despite ESPN's massive brand and distribution.​ Penn's prior Barstool Sports era, regulatory pushback tied to Portnoy's persona, and how Penn sold Barstool back to Dave Portnoy as it pivoted to the ESPN Bet rebrand.​​ Portnoy's reaction on his own show, why he thinks time will tell if this is a good move for DraftKings, and his hint that Disney CEO Bob Iger made unflattering comments about Barstool behind the scenes.​ How Disney's move from “no R-rated content” on Disney+ to hosting edgier, R-rated films via the Hulu integration shows a slow but real shift away from a strictly squeaky-clean image.​ Why even a giant like ESPN can't just slap its logo on a product and win—especially when users already love DraftKings and other established betting apps.​ The rise of social-native sports brands like House of Highlights and Barstool Sports, and how short-form content has replaced traditional SportsCenter viewing for many fans.​​ Jake Paul's “Betr” (Better) and other creator-led betting and media plays, and how having the ear of younger fans changes the balance of power in sports media.​ Why product quality, UX, and habit lock-in often beat legacy branding, even when legacy outlets still dominate live rights and TV distribution.​ A quick detour into the best sports movies of all time—Hoosiers, Remember the Titans, Warrior, Rocky, Moneyball, and more—and what they reveal about the nostalgia we still attach to sports storytelling. Top 3 Takeaways Big legacy brands like ESPN and Disney can no longer rely on their name alone; in crowded categories like sports betting, sticky products and fan-favorite platforms like DraftKings are extremely hard to displace.​ Controversial personalities like Dave Portnoy can create regulatory and brand headaches, but they also build cult followings and resilient IP—Barstool's rebound and Portnoy's “$1 buyback” remain a masterclass in leverage.​​ The future of sports attention is social-first and creator-driven: fans increasingly get their highlights, hot takes, and sometimes even betting cues from digital-native brands rather than traditional TV networks.​​

Send us a textBest Buy was supposed to be dead. Instead, it just raised its full-year sales and earnings outlook.In this episode, Jenny Rae and Namaan dig into why Best Buy is outperforming in a “K-shaped” economy, even as everyone keeps blaming the consumer and inflation.They break down:How Best Buy is still winning on laptops, gaming, and smartphonesWhy AI-enabled laptops and new consoles are quietly driving an upgrade cycleThe role of predictable sale moments (Prime Day, back-to-school, Black Friday)What Best Buy is doing in-store vs. online that pure e-commerce players can't matchHow services and better execution matter more than macro excusesThey also talk about what this says about the American consumer, why sentiment and spending keep telling different stories, and what levers they'd pull if they were running Best Buy for the next five years.Partner Links:Learn more about NordStellar's Threat Exposure Management Program; unlock 20% off with code BLACKFRIDAY20 until Dec. 10, 2025Chapters:02:10 Black Friday: From Chaos Day to 2-Month Season 04:45 Best Buy's Unexpected Earnings Beat 07:20 What's Actually Selling: Phones, Laptops, Gaming, AI Devices 10:05 Why Best Buy Wins In-Store (When It Shouldn't) 13:00 Digital Channel Strength: Website, Pick-Up, Inventory, UX 15:40 The Consumer Is Fine (Again): Spending vs Sentiment 18:25 Best Buy's Revenue Declines & Store Footprint Questions 21:05 Margin Breakdown & Where Best Buy Really Makes Money 24:10 The Future: Services, Smaller Stores, and Growth LeversListen to the Market Outsiders podcast, the new daily show with the Management Consulted teamConnect With Management Consulted Schedule free 15min consultation with the MC Team. Watch the video version of the podcast on YouTube! Follow us on LinkedIn, Instagram, and TikTok for the latest updates and industry insights! Join an upcoming live event - case interviews demos, expert panels, and more. Email us (team@managementconsulted.com) with questions or feedback.

Anfi and Ioana explore the design scene in 2025, sharing insights on current trends, key shifts, and the evolving landscape. They discuss the changing value of designers in the age of AI, questioning whether traditional roles will remain relevant. Additionally, they offer practical advice for newcomers entering UX design in 2026 from diverse backgrounds amidst this rapid transformation.This episode was recorded in partnership with ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Wix Studio.⁠⁠⁠⁠⁠Check out these links:Join Anfi's ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Job Search community⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠The community includes 3 courses, 12 live events and workshops, and a variety of templates to support you in your job search journey.Ioana's ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AI Goodies Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ioana's Domestika course ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Create a Learning Strategy⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Enroll in Ioana's AI course ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠"**AI-Powered UX Design: How to Elevate Your UX Career"**⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ on Interaction Design Foundation with a 25% discount.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Into UX design⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ online course by Anfisa⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠❓Next topic ideas:Submit your questions or feedback anonymously ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Follow us on Instagram to stay tuned for the next episodes.

There is a new user on the internet. It doesn't have eyes, it reads code, and it has zero tolerance for bad UX.In this episode, I sit down with Jes Scholz (SEO Futurist & Marketing Consultant) to discuss the "Great Correction" coming to our industry. We talk about why a decade of obsessing over short-term metrics has "corrupted" brand marketing, and why AI is finally forcing us to fix the fundamentals we've ignored for too long.Jes explains why AI agents are abandoning websites with messy HTML, why "entity optimization" is the real key to future visibility, and why the popular tactic of spamming Reddit to influence LLMs is a ticking time bomb for your brand.Topics Covered:Why short-term metrics broke modern marketing (and how to fix it).The "New User": How to optimize for AI agents that read code, not screens.Why "trash" code and interstitial popups are fatal for AI discovery.The "Reddit Spam" Rant: Why trying to hack AI will destroy your brand reputation.The #1 skill AI cannot replace in 2026.Timestamps: 00:00 - Intro 00:02:07 - How Short-Term Metrics "Corrupted" Brand Marketing 00:03:59 - Why Marketers Must Relearn to Work Without Perfect Metrics 00:08:00 - AI Agents: Why They Fail on Bad UX & Messy HTML 00:17:52 - Beyond the Website: Why Entity Optimization is Key for AI 00:21:14 - Why Spamming Reddit to Influence AI Will Destroy Your Brand 00:27:23 - Final Advice: The #1 Skill to Keep & The #1 Habit to DropAbout the Guest: Jes Scholz is a global digital strategist and SEO futurist. Formerly the International Digital Director for Ringier, she has led digital transformation across 140+ media and e-commerce brands in Europe, Africa, and Asia. She is now an independent consultant helping enterprises adapt to the AI era.Connect with Jes:Website: jesscholz.comNewsletter: SEO Brief on SubstackLinkedIn: Jes ScholzConnect with Sani:LinkedIn: Slobodan (Sani) ManićWebsite: nohackspod.comNewsletter: No Hacks on Substack---If you enjoyed the episode, please share it with a friend!

In this episode of Product by Design, Kyle Evans interviews RJ Kedziora, co-founder of Estenda, a company specializing in custom software and data analysis for healthcare. We discuss RJ's journey in technology and entrepreneurship, the importance of energy management over time management, and the role of AI in healthcare. RJ shares insights into the challenges and future of AI applications, the need for ethical considerations, and the potential for personalized healthcare solutions. He also offers advice to aspiring entrepreneurs looking to make a difference in the industry.Links from the Show:Website: EstendaBook: Productive Harmony, The Power of When LinkedIn: RJ KedzioraMore by Kyle:Follow Prodity on TikTokFollow Kyle on TikTokSign up for the Prodity Newsletter for more updates.Kyle's writing on MediumProdity on MediumLike our podcast, consider Buying Us a Coffee or supporting us on Patreon

For episode 639 of the BlockHash Podcast, host Brandon Zemp is joined by Joan Alavedra, CEO & Co-founder of Openfort.Openfort provides wallet infrastructure for web3 apps with logged-in users. They help teams give every user a non-custodial wallet, embedded directly in the product, without seed phrases or scary popups.⏳ Timestamps: (0:00) Introduction(0:52) Who is Joan Alavedra?(3:45) What is Openfort?(6:19) Pain-points in Web3 wallet infrastructure(11:56) Use-cases of Openfort(13:55) Future of Web3 wallet UX(17:00) Agentic AI & Ecommerce(19:42) Data protection in Web3 wallets(23:50) Openfort roadmap for 2026(26:16) Openfort website & socials 

Many debates are taking place today about the relevance and value of personas for UX work. In this episode, in the spirit of critical thinking, Darren presents a case in support of using personas, while also explaining reasons for their rejection and abandonment in many circles. Up for the challenge to hear the case? Tune in for the presentation. REMINDER: Video is available for this episode via select resources. #ux#podcasts#cxofmradio#cxofm#realuxtalk#worldofux#worldoux Bookmark the new World of UX website at https://www.worldoux.com. Visit the UX Uncensored blog at https://uxuncensored.medium.com. Get your specialized UX merchandise at https://www.kaizentees.com.

Paco Nathan has been building AI since 1983 - before it was cool, before it was profitable, and through every hype winter since. In this no-BS conversation with Nick Schutt on Robots and Red Tape, Paco explains why this wave is legitimately different (hardware finally caught up), why the AGI/superintelligence talk is marketing fiction backed by trillions, and where the real wins are hiding: anti-money-laundering, fraud detection, and preserving institutional knowledge as veteran workers retire. A masterclass in spotting hype vs. reality: Why hardware, software, then process is the real AI hierarchy The dirty secrets of latency & cost killing most “agentic” demos How graphs and entity resolution are the hidden backbone of mission-critical AI Lessons from Spark/Databricks that every GenAI builder needs right now Why team intelligence, not artificial intelligence, should drive policy Go deep on Spark-era lessons every GenAI startup is painfully re-learning, why UX is now the biggest bottleneck for adoption, why relationships (in graphs and in orgs) matter more than facts, and why policy makers should regulate “team intelligence” instead of “artificial intelligence.” Books mentioned: “Seeing Like a State” – James C. Scott “A Grammar of Motives” – Kenneth Burke “Open Society and Its Enemies” – Karl Popper “Human Scale” trilogy – Kirkpatrick Sale Full episode on Robots and Red Tape, also on Apple, Spotify, and everywhere else. | Host: Nick Schutt Subscribe so you don't miss the next one! @RobotsandRedTapeAI

AI Assisted Coding: From Designer to Solo Developer - Building Production Apps with AI In this special episode, Elina Patjas shares her remarkable journey from designer to solo developer, building LexieLearn—an AI-powered study tool with 1,500+ users and paying customers—entirely through AI-assisted coding. She reveals the practical workflow, anti-patterns to avoid, and why the future of software might not need permanent apps at all. The Two-Week Transformation: From Idea to App Store "I did that, and I launched it to App Store, and I was like, okay, so… If I can do THIS! So, what else can I do? And this all happened within 2 weeks."   Elina's transformation happened fast. As a designer frustrated with traditional software development where maybe 10% of your original vision gets executed, she discovered Cursor and everything changed. Within two weeks, she went from her first AI-assisted experiment to launching a complete app in the App Store. The moment that shifted everything was realizing that AI had fundamentally changed the paradigm from "writing code" to "building the product." This wasn't about learning to code—it was about finally being able to execute her vision 100% the way she wanted it, with immediate feedback through testing. Building LexieLearn: Solving Real Problems for Real Users "I got this request from a girl who was studying, and she said she would really appreciate to be able to iterate the study set... and I thought: "That's a brilliant idea! And I can execute that!" And the next morning, it was 9.15, I sent her a screen capture."   Lexie emerged from Elina's frustration with ineffective study routines and gamified edtech that didn't actually help kids learn. She built an AI-powered study tool for kids aged 10-15 that turns handwritten notes into adaptive quizzes revealing knowledge gaps—private, ad-free, and subscription-based. What makes Lexie remarkable isn't just the technology, but the speed of iteration. When a user requested a feature, Elina designed and implemented it overnight, sending a screen capture by 9:15 AM the next morning. This kind of responsiveness—from customer feedback to working feature in hours—represents a fundamental shift in how software can be built. Today, Lexie has over 1,500 users with paying customers, proving that AI-assisted development isn't just for prototypes anymore. The Workflow: It's Not Just "Vibing" "I spend 30 minutes designing the whole workflow inside my head... all the UX interactions, the data flow, and the overall architectural decisions... so I spent a lot of time writing a really, really good spec. And then I gave that to Claude Code."   Elina has mixed feelings about the term "vibecoding" because it suggests carelessness. Her actual workflow is highly disciplined. She spends significant time designing the complete workflow mentally—all UX interactions, data flow, and architectural decisions—then writes detailed specifications. She often collaborates with Claude to write these specs, treating the AI as a thinking partner. Once the spec is clear, she gives it to Claude Code and enters a dialogue mode: splitting work into smaller tasks, maintaining constant checkpoints, and validating every suggestion. She reads all the code Claude generates (32,000 lines client-side, 8,000 server-side) but doesn't write code herself anymore. This isn't lazy—it's a new kind of discipline focused on design, architecture, and clear communication rather than syntax. Reading Code vs. Writing Code: A New Skill Set "AI is able to write really good code, if you just know how to read it... But I do not write any code. I haven't written a single line of code in a long time."   Elina's approach reveals an important insight: the skill shifts from writing code to reading and validating it. She treats Claude Code as a highly skilled companion that she needs to communicate with extremely well. This requires knowing "what good looks like"—her 15 years of experience as a designer gives her the judgment to evaluate what the AI produces. She maintains dialogue throughout development, using checkpoints to verify direction and clarify requirements. The fast feedback loop means when she fails to explain something clearly, she gets immediate feedback and can course-correct instantly. This is fundamentally different from traditional development where miscommunication might not surface until weeks later. The Anti-Pattern: Letting AI Run Rampant "You need to be really specific about what you want to do, and how you want to do it, and treat the AI as this highly skilled companion that you need to be able with."   The biggest mistake Elina sees is treating AI like magic—giving vague instructions and expecting it to "just figure it out." This leads to chaos. Instead, developers need to be incredibly specific about requirements and approach, treating AI as a skilled partner who needs clear communication. The advantage is that the iteration loop is so fast that when you fail to explain something properly, you get feedback immediately and can clarify. This makes the learning curve steep but short. The key is understanding that AI amplifies your skills—if you don't know what good architecture looks like, AI won't magically create it for you. Breaking the Gatekeeping: One Person, Ten Jobs "I think that I can say that I am a walking example of what you can do, if you have the proper background, and you know what good looks like. You can do several things at a time. What used to require 10 people, at least, to build before."   Elina sees herself as living proof that the gatekeeping around software development is breaking down. Someone with the right background and judgment can now do what previously required a team of ten people. She's passionate about others experiencing this same freedom—the ability to execute their vision without compromise, to respond to user feedback overnight, to build production-quality software solo. This isn't about replacing developers; it's about expanding who can build software and what's possible for small teams. For Elina, working with a traditional team would actually slow her down now—she'd spend more time explaining her vision than the team would save through parallel work. The Future: Intent-Based Software That Emerges and Disappears "The software gets built in an instance... it's going to this intent-based mode when we actually don't even need apps or software as we know them."   Elina's vision for the future is radical: software that emerges when you need it and disappears when you don't. Instead of permanent apps, you'd have intent-based systems that generate solutions in the moment. This shifts software from a product you download and learn to a service that materializes around your needs. We're not there yet, but Elina sees the trajectory clearly. The speed at which she can now build and modify Lexie—overnight feature implementations, instant bug fixes, continuous evolution—hints at a future where software becomes fluid rather than fixed. Getting Started: Just Do It "I think that the best resource is just your own frustration with some existing tools... Just open whatever tool you're using, is it Claude or ChatGPT and start interacting and discussing, getting into this mindset that you're exploring what you can do, and then just start doing."   When asked about resources, Elina's advice is refreshingly direct: don't look for tutorials, just start. Let your frustration with existing tools drive you. Open Claude or ChatGPT and start exploring, treating it as a dialogue partner. Start building something you actually need. The learning happens through doing, not through courses. Her own journey proves this—she went from experimenting with Cursor to shipping Lexie to the App Store in two weeks, not because she found the perfect tutorial, but because she just started building. The tools are good enough now that the biggest barrier isn't technical knowledge—it's having the courage to start and the judgment to evaluate what you're building.   About Elina Patjas   Elina is building Lexie, an AI-powered study tool for kids aged 10–15. Frustrated by ineffective "read for exams" routines and gamified edtech fluff, she designed Lexie to turn handwritten notes into adaptive quizzes that reveal knowledge gaps—private, ad-free, and subscription-based. Lexie is learning, simplified.   You can link with Elina Patjas on LinkedIn.

Calle is the creator and lead maintainer of the Cashu open source protocol. Cashu enables users to easily use bitcoin in a private, offline, and programmable way. Calle is also the maintainer of Bitchat android, a cross platform meshnet app that enables users to chat and send bitcoin without an internet connection.Calle on Nostr: https://primal.net/calleCalle on X: https://x.com/callebtcBitchat: https://bitchat.free/Cashu: https://cashu.space/Hackathon: https://nutnovember.org/AOS: https://andotherstuff.org/EPISODE: 184BLOCK: 925030PRICE: 1126 sats per dollar(00:04:44) Bitchat: Bluetooth Mesh Without Internet(00:06:21) Protests and Outages Drive Downloads: Nepal, Indonesia, Madagascar, Côte d'Ivoire, Jamaica(00:09:51) Predicting Unrest from Download Spikes(00:14:27) Adding Nostr Transport: Hyperlocal Mesh vs. Geohash Chats(00:18:03) Geolocated Relay Selection(00:23:56) Ephemeral Identity, UX, and Censorship Considerations(00:28:37) Mesh Upgrades: Voice, Images, Files, Source Routing like Tor(00:30:23) WiFi Aware Mesh and Background Operation to Boost Range and Uptime(00:34:15) White Noise vs. Bitchat(00:40:00) Protocols and Transports: Weaving White Noise, Cashu, and Bitchat(00:43:48) Transport Neutral Design: Cashu and Nostr(00:45:57) Cashu Progress: Shipping Libraries, Dev Ecosystem Growth(00:51:18) We Need More Bitcoin Devs(00:53:08) Integrating Cashu into BitChat: Wallet UX and Local Payments(00:57:17) Running Mints: Spark, Ark, and Proof of Reserves/Liabilities(01:03:40) Layered Scaling Without Consensus Changes: Ark, Spark, Cashu(01:04:18) Bitcoin for Signal: Replacing MobileCoin with Cashu(01:13:32) Why Cashu for Signal? Privacy and Scaling(01:22:31) Mint Choice vs. Simplicity: Defaults, Lightning Interoperability, and UX(01:32:21) Focus on Financial Privacy for the Masses, not Distractions(01:37:11) Zcash Hype Dismissed; Call to Build on Bitcoin(01:39:26) Nut November Hackathon and How to Contribute to Bitchat and Cashu(01:45:06) Happy Thanksgivingmore info on the show: https://citadeldispatch.comlearn more about me: https://odell.xyznostr: https://primal.net/odell

Episode web page: https://bit.ly/49ucDxK Episode summary: In this episode of Insights Unlocked, UserTesting's VP of Design Jason Giles sits down with Tessa Forshaw and Rich Braden—co-authors of Innovation-ish and longtime instructors of design thinking at Harvard and Stanford—to explore what truly drives innovation and why most people hesitate to participate in it. Tessa and Rich break down the science behind “innovation hesitation,” share tools for unlocking creativity, and explain how empathy, rapid prototyping, and metacognition can make innovation more human—and less intimidating. Whether you're a product leader, designer, marketer, or team facilitator, this conversation provides practical strategies to build innovation habits, uncover deeper insights, and help teams think more creatively. What you'll learn in this episode: Why so many people experience “innovation hesitation”—and how evolutionary wiring shapes our fear of ambiguity A practical framework for understanding innovation across a spectrum—from jump shots to moonshots How empathy physiologically changes the way our brains process information What separates real insights from surface-level feedback How to use rapid prototyping to gather evidence instead of relying on opinions Why metacognition (thinking about how you think) dramatically increases creativity and idea quality Tools and prompts to help teams collaborate, synthesize insights, and tell better innovation stories About the guests: Tessa Forshaw is a cognitive scientist and co-founder of Harvard's Next Level Lab. She teaches design thinking, innovation, and creative problem solving at Harvard and previously at Stanford. Her research explores how empathy, cognition, and metacognition shape human-centered innovation. Rich Braden is a design strategist with a background that spans software engineering, marketing, and more than a decade of improv teaching. He teaches innovation and design thinking at Stanford and Harvard, blending creative methodologies with practical business experience. Together, Tessa and Rich are the authors of Innovation-ish: How Anyone Can Create Breakthrough Solutions to Real Problems in the Real World. Resources & links: Innovation-ish website – https://innovation-ish.com Tessa Forshaw on LinkedIn –https://www.linkedin.com/in/tessaforshaw/ Rich Braden on LinkedIn – https://www.linkedin.com/in/richardcoxbraden/ Jason Giles on LinkedIn – https://www.linkedin.com/in/jaygiles/ Harvard Next Level Lab – https://nextlevellab.gse.harvard.edu Nathan Isaacs on LinkedIn – https://www.linkedin.com/in/nathanisaacs/ Learn more about Insights Unlocked – https://www.usertesting.com/podcast About the show: Insights Unlocked is the go-to podcast for marketing, UX, product, and CX leaders. Each week, we feature candid conversations with the builders and thinkers behind today's most impactful customer experiences. Brought to you by UserTesting.

Allie Ofisher is a UX designer and consultant with deep roots in systems thinking, visual design, and user research. She's worked with countless teams to help them understand what they're building, why they're building it, and how to bring clarity to complex products using OOUX. As the lead steward of the Representation Round at OOUX, Allie brings her sharp visual eye and her obsession with relationships, context, and user mental models to everything she touches.In this episode of the UX Level Up Podcast, Sophia and Allie dig into Relationship Representation—how to avoid isolated objects, why contextual navigation matters more than top-down menus, and how Nested Object Matrixes (NOM) unlock innovation, break down silos, and transform collaboration with product owners and developers. They explore how disconnected UI patterns often point to deeper organizational issues, how research questions reveal real user needs, and how OOUX gives teams a shared language for designing systems that actually think the way users think.LINKS:Check out Allie's websiteConnect with Allie on LinkedIn Catch up on episodes of OOUX We did it Again The Self-Paced OOUX Masterclass 3.0 is coming soon! Join the waitlist now for a black Friday surprise!Continue the conversation on the OOUX Forum!

In this episode of The UX Consultants Lounge, Kyle talks with Lisa Dance, a UX researcher, consultant, author, and community advocate based in Richmond, Virginia. Lisa is the founder of ServiceEase, creator of the UX Census RVA, author of Today Is the Perfect Day to Improve Customer Experiences, and a regular UX voice on Richmond's business radio scene.Lisa brings a thoughtful, refreshing perspective on what it means to practice UX in a complex and shifting industry. She has built her career around improving hard to use systems, elevating customer experience, and helping her local community understand what UX actually is and why it matters.What you will learn in this episodeHow ServiceEase came to life:Lisa describes starting her consultancy in 2011 and moving between in-house and freelance work, highlighting flexibility as the key to her career path.Improving customer experiences through storytelling:Lisa shares that her book grew out of everyday frustrations with overly complicated tasks and uses illustrated stories to show how widespread bad customer experiences are, especially when technology makes them worse.Sharing UX with the broader public:Through UX Happens in RVA, Lisa explains UX to business audiences in plain language. She talks about pitching the segment and using news stories, including the Amazon FTC case, to help non-tech listeners understand UX.The future of UX and the rise of AI:Kyle and Lisa explore concerns about AI and how companies use it to hide deeper problems. They also reflect on industry layoffs, declining focus on user needs in big tech, and the continued importance of UX in smaller mission driven organizations.Marketing yourself as a consultant:Lisa reflects on the difficulty of staying visible as a shy solopreneur and shares a key insight: the real competition is not other consultants, but companies that take no action at all.Specializing or staying generalist:Lisa and Kyle discuss how to approach specialization, what it means to be T shaped, and why consultants need to help clients see that UX skills translate across industries.Connect with Us:Host: Kyle Soucy | Usable Interface |  LinkedinGuest: Lisa Dance | ServiceEase | Linkedin- - - - -Links and Resources Mentioned:Today is the Perfect Day to Improve Customer Experiences! by Lisa DanceUX Happens in RVAUX Census (RVA) The Product Picnic (Pavel Samsonov's Newsletter)Submit a question or story: Have a question or topic that you'd like us to cover in a future episode and/or want to share an anonymous consulting story? Submit your questions and stories. Don't want to miss an episode? Be sure to sign up for the podcast newsletter.Thanks for tuning in! Don't forget to subscribe and leave a review on Apple Podcasts, Spotify, or your favorite podcast platform. I can't wait to have you back in the lounge for our next episode!

In this episode, I sit down with developer and speaker Sagi Carmel to dive deep into Astro, why it's gaining so much traction, and how it compares to frameworks like Next.js, Nuxt, Remix, and SvelteKit. We explore what makes Astro uniquely powerful — from its server-first approach and island architecture to its simplicity, speed, and ability to integrate with any front-end framework you want.Sagi also walks me through real-world use cases, including how he built Israel's official Census website with Astro, why scoped CSS and server components simplify the development experience, and how tools like HTMX and view transitions make web UX buttery smooth. If you've been curious about Astro, this conversation is a terrific deep dive into both its fundamentals and its advanced capabilities.

פרק מספר 505 של רברס עם פלטפורמה - באמפרס מספר 89, שהוקלט ב-13 בנובמבר 2025, רגע אחרי כנס רברסים 2025 [יש וידאו!]: רן, דותן ואלון (והופעת אורח של שלומי נוח!) באולפן הוירטואלי עם סדרה של קצרצרים מרחבי האינטרנט: הבלוגים, ה-GitHub-ים, ה-Claude-ים וה-GPT-ים החדשים מהתקופה האחרונה.

Jessica kicks things off with Brit's five-hour Brit-chella extravaganza—red latex, Light Balance blackout choreo, Ke$ha surprise, and more. The crew checks in on Jessica's IG detox, TikTok's new "self control badges", ChatGPT launching group chats, Google Gemini taking the lead, and why “just be Google” might be the winning AI brand strategy as AI melts into UX. Sam calls 2026 OpenAI's make-or-break year and trashes their consumer subscription thesis; Jessica argues ad/commerce is the only viable lane. Markets stay frothy (Nvidia), hyperscaler debt risk rises, the White House preempts 50-state AI chaos, and Coinbase x Kalshi turns prediction markets into a spectator sport. Meme corner closes the loop and a possible Femme-etiquette school spinoff make its debut.Chapters:00:37 Intro and Brit-Chella Recap10:33 Jessica's Instagram detox check-in and what changed15:59 TikTok's anti screen-time badges17:48 ChatGPT launches group chats; why Meta missed its chance20:51 Google Gemini takes the lead in the AI race23:37 OpenAI's monetization problem; no one buys the consumer story29:14 Just be Google — higher brand credibility, revenue streams, and distribution39:33 Breaking: Nvidia earnings are still growing43:14 White House EO to preempt state AI regulation; why federal matters48:06 Coinbase and Kalshi prediction markets, culture, and compliance53:12 Meme Corner: RIP 6–7, hello 4156:03 Make SF Dress Up Again: Femme-Etiquette SchoolWe're also on ↓X: https://twitter.com/moreorlesspodInstagram: https://instagram.com/moreorlessYouTube: https://youtu.be/ahZTkLfJTykConnect with us here:1) Sam Lessin: https://x.com/lessin2) Dave Morin: https://x.com/davemorin3) Jessica Lessin: https://x.com/Jessicalessin4) Brit Morin: https://x.com/brit

Jack Herrington talks with Will Madden about how Prisma ORM is evolving in v7, including the transition away from Rust toward TypeScript, less magic, and a new Prisma config file for more predictable good DX. They dig into Prisma Postgres, improvements to Prisma Studio, better support for serverless environments, and how JavaScript ORM tools like Prisma as an object relational mapper will fit into future agentic coding workflows powered by LLMs. Links LinkedIn: https://www.linkedin.com/in/willmadden Resources ORM: https://www.prisma.io/blog/orm-6-12-0-esm-compatible-generator-in-preview-and-new-options-for-prisma-config https://www.prisma.io/blog/why-prisma-orm-generates-code-into-node-modules-and-why-it-ll-change https://www.prisma.io/blog/from-rust-to-typescript-a-new-chapter-for-prisma-orm https://www.prisma.io/blog/try-the-new-rust-free-version-of-prisma-orm-early-access https://www.prisma.io/blog/rust-free-prisma-orm-is-ready-for-production Prisma Postgres: prisma.io/postgres We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Fill out our listener survey (https://t.co/oKVAEXipxu)! https://t.co/oKVAEXipxu Let us know by sending an email to our producer, Elizabeth, at elizabeth.becz@logrocket.com (mailto:elizabeth.becz@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Check out our newsletter (https://blog.logrocket.com/the-replay-newsletter/)! https://blog.logrocket.com/the-replay-newsletter/ Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. (https://logrocket.com/signup/?pdr) Chapters

Design roles are shifting fast and AI is speeding things up. In this episode of Future of UX, we dig into what's really changing in the UX world, which roles are emerging, and how you can stay ahead in a landscape shaped by automation, agents, and AI tools.You'll hear:Why roles like Interaction Designer aren't disappearing but evolvingWhat new job titles like “AI UX Designer” or “Design Ops” actually meanThe skills that make designers future-proof (and which ones won't matter as much)What hiring managers really want nowPlus: a real story of one of our bootcamp participants who landed her dream AI design job after sharing a case study on LinkedInThis episode is packed with clarity, energy, and practical advice whether you're just starting out or looking to reinvent your UX role for the future.

The 2025 MacVoices Holiday Gift Guide continues with travel tech, accessories, and creative picks from Marty Jencius, Michael D.J. Eisenberg, and Patrice Brend'amour. Recommendations include USB-C hubs, books for aviation fans, AirPods upgrades, Lego's new Star Trek piece, drive docks, and webcams.  Show Notes: Chapters: [0:00] Gift Guide Part Two Intro [0:36] Reviewing Picks So Far [1:40] USB-C Travel Hub Recommendation [4:17] Aviation Adventure Book Pick [7:33] AirPods and Noise-Canceling Choices [12:31] Screen Protector Discussion [17:12] Compact 4K Webcam Pick [20:08] LEGO Enterprise-D Enthusiasm [24:36] Mac Mini as a Starter Mac [27:24] Drive Dock for Expandable Storage [34:04] Gift Guide Wrap-Up and Links [35:04] Panelist Contact Information [38:40] Closing Remarks Links: MacVoices 2025 Holiday Gift Guide - Master Page MacVoices 2025 Holiday Gift Guide on Flipboard Marty Jencius MOKiN 10Gbps USB C Hub Ethernet, 7 in 1 USB C Adapter for MacBook Pro/Air with 4K@60HZ HDMI, 3*USB-C 10Gbps Data, RJ45, USB 2.0, 100W PD, USB C Dongle for MacBook, USB-C Dongle Obsbot Meet 2-4K Webcam for PC with 1/2" Sensor, AI Framing & Autofocus, Beauty Mode, Lightweight, Gesture Control, HDR, Dual Microphone, 60 FPS, Web Cam for Streaming Patrice Brend'amour Halfway around the World in 40 Days: From my daring Solo Flight in a small Propeller Plane over the Atlantic, the Pack Ice and the Desert by Kathrin Kaiser Lego Star Trek TNG Kit Michael D.J. Eisenberg Apple AirPods Pro 3 AirPods Max FURID Air Tag Wallet (no air tag included) Apple Mac Mini 28-Inch Thunderbolt 4 and USB-C Cable with 40 GBPS Data Transfer, 240W Power Charging and 8K Video Capability Chuck Joiner amFilm OneTouch Screen Protector for iPhone 17 Pro Max 6.9'' + Camera Lens Protector OWC Drive Dock USB 3.2 (10Gb/s) Dual-Bay Drive Docking Solution for 2.5-inch and 3.5-inch NVMe U.2 and SATA Drives Guests: Patrice Brend'amour is the creator, advocate and Product Manager of a global healthcare software initiative, which is not only pushing the industry to provide user-centered solutions using the latest advances in UX and technology, but also advancing the sharing of medical information between healthcare providers across the world. She is also an avid podcaster, mainly in the technology space, as well as a maintainer and contributor to a number of open source projects. Everything she does can be linked to from The Patrice, Michael D.J. Eisenberg is a is a solo practitioner based in Washington, DC, advocating for veterans, military members, and their families for nearly two decades. He has been helping lawyers and law offices utilize technology tools to promote efficiency and effectiveness for decades. He created the blog and podcast in 2019 to share that information and more with the world. Find information on his initiatives and his podcast at The Tech Savvy Lawyer. Dr. Marty Jencius has been an Associate Professor of Counseling at Kent State University since 2000. He has over 120 publications in books, chapters, journal articles, and others, along with 200 podcasts related to counseling, counselor education, and faculty life. His technology interest led him to develop the counseling profession 'firsts,' including listservs, a web-based peer-reviewed journal, The Journal of Technology in Counseling, teaching and conferencing in virtual worlds as the founder of Counselor Education in Second Life, and podcast founder/producer of CounselorAudioSource.net and ThePodTalk.net. Currently, he produces a podcast about counseling and life questions, the Circular Firing Squad, and digital video interviews with legacies capturing the history of the counseling field. This is also co-host of The Vision ProFiles podcast. Generally, Marty is chasing the newest tech trends, which explains his interest in A.I. for teaching, research, and productivity. Marty is an active presenter and past president of the NorthEast Ohio Apple Corp (NEOAC) Support:      Become a MacVoices Patron on Patreon      http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:      http://macvoices.com      Twitter:      http://www.twitter.com/chuckjoiner      http://www.twitter.com/macvoices      Mastodon:      https://mastodon.cloud/@chuckjoiner      Facebook:      http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:      http://www.facebook.com/macvoices/      MacVoices Group on Facebook:      http://www.facebook.com/groups/macvoice      LinkedIn:      https://www.linkedin.com/in/chuckjoiner/      Instagram:      https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes      Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

Last week I talked about breaking down business silos and getting different departments to work together on user experience. That kind of cross-functional collaboration can feel like an uphill battle, especially when you're trying to shift organizational culture. So, today I want to share a powerful shortcut that can make your life considerably easier: building your credibility internally by looking outside your organization.I know that sounds counterintuitive. When you're fighting to change culture from within, why would you spend time looking outward? But external validation can accelerate your progress in ways that internal efforts alone cannot.Two ways external focus builds internal credibilityExternal validation falls into two broad categories, and both matter.First, when you're making arguments about how things should be done, external evidence adds weight. Every time you express an opinion or recommend a direction, you want data, case studies, or expert quotes backing you up. This transforms your suggestion from "here's what I think" into "here's what the evidence shows."Second, your personal reputation matters. If people outside your organization respect you, people inside your organization will take you more seriously. An external reputation builds internal credibility faster than almost anything else.Let me walk you through practical ways to leverage both of these categories, starting with that first one: backing up your arguments with external evidence.Use AI to back up your argumentsI use Perplexity constantly to find supporting evidence for positions I'm taking. I've even done quick searches during meetings before expressing an opinion. Whether you're in a presentation, a meeting, or writing a report, never just state something and expect people to accept it.Try a prompt like "provide me with statistics that reinforce the argument that UX design provides tangible business benefits." In seconds, you'll have credible sources to cite, especially if selecting academic sources as the search parameter.The principle applies to any argument you're making. Always have evidence ready.But data and research aren't the only forms of external validation you can leverage. Sometimes the most powerful external voice is an actual person.Bring in external experts strategicallyAs a UX consultant, I'm often brought into organizations where the internal UX team is just as skilled as I am, sometimes more so. Yet they still hire someone like me. I've thought hard about why that happens, and I see three reasons external experts add value:Authority from cost. Your salary is a hidden expense that nobody sees regularly. When leadership hires an external consultant, that cost is visible and immediate. Because they've just spent money, people feel they need to listen. It's not entirely rational, but it's real.Second opinions carry weight. When an internal team member and an external expert share the same view, that consensus matters to senior management. Two voices saying the same thing are harder to dismiss.Impartiality on sensitive topics. If you're asking for more resources or budget, you might appear self-interested. An external expert making the same recommendation seems objective.If you don't have budget for consultants, you can still reference external experts. People like me publish content constantly, and you can cite that work to reinforce your arguments.Expert voices carry weight, but they're still qualitative. If you want to make an argument that's truly hard to dismiss, you need numbers that show how you stack up against the competition.Benchmark against competitorsExternal benchmarking gives you objective comparisons that stakeholders understand. This works the same way NPS scores do in marketing: they let you measure your performance against competitors in your sector and beyond.For user experience specifically, I recommend the System Usability Scale. You can run this standardized test on your own website and your competitors' sites, then compare scores. This creates a compelling, numbers-based argument that cuts through subjective debate.Recognized benchmarking tools give you credibility that opinion alone cannot provide.Outie's AsideEverything I've shared so far applies whether you're in-house or external, but if you're a freelancer or agency working with clients, external validation becomes even more critical because you don't have the luxury of building credibility over months or years in-house.When you walk into a client project, bring evidence with you from day one. Reference industry benchmarks, cite recognized experts, and show case studies from similar organizations. Your clients are paying you precisely because you have that external perspective, so lean into it.The System Usability Scale I mentioned works brilliantly in client work. You can demonstrate objectively where their site stands compared to competitors, which makes conversations about improvements much easier. Numbers cut through internal politics in ways that opinions cannot.Now, all of these tactics rely on external sources and voices you're borrowing. But the most powerful form of external credibility is the kind you build yourself.Share your expertise publiclyI'd encourage you to go further and start building your external reputation actively. Publish that digital playbook you've been working on. Gov.uk did exactly this, and when people across the industry started referencing and discussing their work, it built massive credibility for them internally.They took it a step further by entering their website for awards. When they won the Design award in the UK, one of the most prestigious design awards in the world and a first for a website, their internal credibility skyrocketed.Think about ways to get external recognition. Speak at meetups. Write articles. Share your work publicly. That external visibility translates directly into internal influence.When you combine external credibility with the internal relationship-building and culture change work we've been discussing, you create momentum that's hard to stop. You're not just one voice inside the organization anymore. You become someone whose expertise is recognized beyond your company's walls, and that changes how leadership sees you.Next week I'll tackle a question that inevitably comes up once you start building this credibility and pushing for change: how do you actually prove that UX work delivers value? We'll look at practical ways to quantify your impact and show ROI to stakeholders who care about numbers.Paul

Shelby Rossi, global brand manager for goggles and helmets at Oakley, digs into what happens when brand and marketing plug into the product development process from day one. Using WTR ICON, Oakley's new surf helmet, as a case study, Shelby explains how a cross-functional "task force" of R&D, UX, product, sports marketing, and brand broke down silos, validated a real consumer problem, and reshaped how Oakley brings innovation to market.  About: This podcast is produced by Port Side, a creative production studio creating content strategy + production for active brands, rooted in emotion.  Enjoy this episode and discover other resources below: Slack Community | Tired of brainstorming with ChatGPT? Join us! Insight Deck | Want 20 of our favorite insights shared on the show?  Booklist | Here's our curated list of recommended books over the years. LinkedIn | Join the conversation and share ideas with other industry peers. Apple Podcast | Want to help us out? Leave us a review on Apple. Guest List | Have a Guest in Mind?  Share them with us here.  

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Sponsored by Auth0 for Startups → 1-year free https://auth0.com/startups/vip Auth0 is an adaptable authentication and authorization platform that helps you secure your apps and AI agents. It delivers convenience, privacy, and security so you can focus on building a great UX. VC PROFILE: Alexei Agratchev, Founder of RetailNext https://www.linkedin.com/in/alexeiagratchev/

Watch us on YouTube!Ed and Paul dive deep into OpenAI's massive long-term compute commitments and what it means for the company's economics, competitive positioning, and the broader AI arms race. They break down the tension between explosive revenue growth and unprecedented spending, the venture-logic behind “land-grab” behavior, and the risks these commitments pose to both vendors and competitors. In the second half, the conversation turns to Microsoft Teams, the EU's antitrust ruling, and the messy realities of bundling, competition, and predatory pricing — all served with classic Results Junkies candor, startup-operator logic, and more than a few cheeseburger metaphors. Topics & Timestamps 00:05 – Opening banter & travel logistics Ed and Paul compare time zones, Vegas scenery, and the eternal quest for a cheeseburger. 01:04 – Housekeeping Where to find Ed and Paul online; quick reminders for Results Junkies listeners. 01:20 – OpenAI's staggering compute spend Discussing the article outlining OpenAI's commitment to tens of billions in annual compute spending — and why the math seems wild compared to current revenue. 03:20 – Revenue vs. spend: does the model scale? How OpenAI reportedly moved from $1.7B to $12B annualized revenue in ~18 months — and whether that trajectory justifies a $60B/year commitment. 04:40 – Venture-style land-grab logic Why this looks like a classic “spend now, dominate later” strategy — just at an unprecedented scale. 06:00 – What happens if OpenAI misses the commitment? Exploring the vendor-risk problem: what does a partner do when they're left $10–20B short? 07:27 – Founders vs. investors: who's really risking what? Why downside risk isn't shared equally — especially when founders have little capital invested. 08:04 – Barriers to competition increase dramatically The larger these commitments get, the harder it becomes for smaller AI startups to realistically compete. 08:35 – Capacity lock-up strategies Why monopolizing vendor resources may be a conscious competitive tactic. 09:17 – Transition to Microsoft Teams & Slack's EU complaint Ed outlines the EU's ruling requiring Microsoft to unbundle Teams and adjust pricing. 10:58 – Is this really a European-only issue? A look at how bundling plays out in the US market as well. 11:36 – The role of precedent Can EU regulatory pressure spill into US practice? 12:22 – Government-mandated pricing: tricky territory Paul reacts to the idea of regulators dictating price gaps — and why it feels risky through a startup-operator lens. 14:01 – Is Teams effectively a “free burger”? Ed argues that bundling Teams at near-zero cost resembles predatory pricing designed to box out Slack. 15:49 – Revisiting antitrust basics Where's the line between aggressive competition and anti-competitive behavior? 17:33 – Airline analogy: when incumbents crush challengers Ed recounts how United Airlines once priced a regional competitor out of existence — and why the dynamic resembles the Microsoft–Slack situation. 18:59 – Could giants always “out-capacity” challengers? Why big players can add supply and out-discount smaller competitors indefinitely. 20:01 – Independence Air and the Dulles example A real-world case study in predatory pricing and market power. 22:12 – The free-market debate A nuanced discussion on where regulators should intervene. 23:01 – US vs. Microsoft (2000s) Why the landmark browser-bundling case still matters today. 25:17 – How defaults create de-facto monopolies Browsers then; team-collaboration suites now. 27:01 – Why Teams frustrates so many users Ed's legendary rant: stability issues, UX complaints, and cross-platform challenges. 28:29 – The cheeseburger episode idea A running joke about turning Results Junkies into a Bourdain-style food-and-business hybrid. 28:48 – More Vegas talk & logistics Travel schedule, long hotel stays, and construction-trip life. 30:07 – How Vegas won over Dana Why today's Vegas is more dining and convenience than chaos. 30:30 – Cheeseburger Day, store openings & invites Future events, potential travel, and family logistics. We'd love it if you'd leave us a rating.  It takes less than a minute and really helps us out.  Just click here!If you've got a comment or question for the show, you can e-mail us at show@resultsjunkies.com.  You can find Paul and Ed  online @paulsingh and @pizzainmotion.

This week Steve and Noah talk about the things you didn't know you knew about Linux. Scott Jenson joins the program to talk about principals of UX/UI design. -- During The Show -- 00:52 Self Hosting After Death - Michael Steve's thought process Important things Home Assistant (https://www.home-assistant.io/) Mealie (https://docs.mealie.io/) Frigate (https://frigate.video/) Steve's plan Draw.io LLMs No desire to be trained Open Source Documentation Noah's plan Self hosted vs Cloud Techie Friends 12:21 Scott Jenson - UX/UI Design Product Strategist For Home Assistant and Mastodon Scott's Website (https://jenson.org/) Coloring outside the lines Mobile vs Desktop Desktop UI shortcomings UX in Audacity and Penpot (https://penpot.app/) Where can UX designers grow? Articulating the business use case Ink & Switch (https://www.inkandswitch.com/) 18:23 News Wire Nano 8.7 - gnu.org (https://lists.gnu.org/archive/html/info-gnu/2025-11/msg00002.html) Thunderbird 145 - thunderbird.net (https://www.thunderbird.net/en-US/thunderbird/145.0/releasenotes) Firefox 145 - firefox.com (https://www.firefox.com/en-US/firefox/145.0/releasenotes) Wine 10.19 - webpronews.com (https://www.webpronews.com/wine-10-19-ushers-in-linuxs-next-leap-for-windows-app-mastery) Proton 10.0 - phoronix.com (https://www.phoronix.com/news/Proton-10.0-3-Released) KDE Frameworks 6.20.0 - kde.org (https://kde.org/announcements/frameworks/6/6.20.0) SparkyLinux 8.1 - sparkylinux.org (https://sparkylinux.org/sparky-8-1) Debian 13.2 - debian.org (https://www.debian.org/News/2025/20251115) Tails 7.2 - torproject.org (https://blog.torproject.org/new-release-tails-7_2) Nitrix 5.0 - itsfoss.com (https://itsfoss.com/news/nitrux-5-release) Kaspersky for Linux - tomshardware.com (https://www.tomshardware.com/software/antivirus/banned-russian-antivirus-maker-kaspersky-rolls-out-new-products-basic-plan-for-linux-starts-at-usd59-99-a-year) Avahi Logic Flaw - zeropath.com (https://zeropath.com/blog/avahi-simple-protocol-server-dos-cve-2025-59529) ImunifyAV Flaw - bleepingcomputer.com (https://www.bleepingcomputer.com/news/security/rce-flaw-in-imunifyav-puts-millions-of-linux-hosted-sites-at-risk) Akira Targets Nutanix VMs - bleepingcomputer.com (https://www.bleepingcomputer.com/news/security/cisa-warns-of-akira-ransomware-linux-encryptor-targeting-nutanix-vms) Kraken Expands - cyberpress.org (https://cyberpress.org/kraken-ransomware) VibeThinker-1.5B - venturebeat.com (https://venturebeat.com/ai/weibos-new-open-source-ai-model-vibethinker-1-5b-outperforms-deepseek-r1-on) Worry Over Chinese AI - businessinsider.com (https://www.businessinsider.com/eric-schmidt-worried-governments-use-chinese-ai-open-source-models-2025-11) US Must Go Open Source - techbuzz.ai (https://www.techbuzz.ai/articles/databricks-co-founder-us-must-go-open-source-to-beat-china-in-ai) Linux Knowledge The "Mythical New User" People use all sorts of UI/UX today Knowledge we take for granted Teaching is the highest form of learning See one, do one, teach one Talk radio principle: Watering plants that are already there Linux and Windows architectures are different 39:50 Source Command How it works Variables Environment Variable What the source command does Getting started with source and python 48:00 Know your short comings Know what you don't know Know how to explain it simply Keeping things simple -- The Extra Credit Section -- For links to the articles and material referenced in this week's episode check out this week's page from our podcast dashboard! This Episode's Podcast Dashboard (http://podcast.asknoahshow.com/467) Phone Systems for Ask Noah provided by Voxtelesys (http://www.voxtelesys.com/asknoah) Join us in our dedicated chatroom #GeekLab:linuxdelta.com on Matrix (https://element.linuxdelta.com/#/room/#geeklab:linuxdelta.com) -- Stay In Touch -- Find all the resources for this show on the Ask Noah Dashboard Ask Noah Dashboard (http://www.asknoahshow.com) Need more help than a radio show can offer? Altispeed provides commercial IT services and they're excited to offer you a great deal for listening to the Ask Noah Show. Call today and ask about the discount for listeners of the Ask Noah Show! Altispeed Technologies (http://www.altispeed.com/) Contact Noah live [at] asknoahshow.com -- Twitter -- Noah - Kernellinux (https://twitter.com/kernellinux) Ask Noah Show (https://twitter.com/asknoahshow) Altispeed Technologies (https://twitter.com/altispeed) Special Guest: Scott Jenson.

In this episode, Nina Olding, Staff Product Manager at Weights & Biases and formerly at Google DeepMind, working on trust and compliance for AI, joins Randy to explore the UX challenges of AI‑driven features. As AI becomes increasingly woven into digital products, the traditional UX cues and trust‑signals that users rely on are changing. Nina introduces her framework of the three “A's” for AI UX: Awareness, Agency, and Assurance, and explains how product teams can build this into their AI‑enabled products without launching a massive transformation programme.Key Takeaways— As AI features proliferate, the UX challenge is less about the technology and more about how users perceive, understand and trust the interactions.— Trust is based on three foundational dimensions for AI‑enabled products: Awareness, Agency, Assurance.— Awareness: Make it clear when AI is involved (and when it isn't). Invisible AI = risk of misunderstanding. Magical AI without context = disorientation.— Agency: Give users control, or at least the option to opt‑out, define boundaries, choose defaults vs advanced settings.— Assurance: Because AI can be non‑deterministic, you must design for confidence—indicators of reliability, transparency about limitations, ability to question or override outputs.Chapters00:00 – Intro: Why AI products are failing on trust00:47 – Nina Old's journey from Google DeepMind to Weights & Biases03:20 – The UX of AI: It's not just a chat window04:08 – Introducing the Three A's framework: Awareness, Agency, Assurance08:30 – Designing for Awareness: Visibility and user signals14:40 – Agency: Giving users control and escape hatches21:30 – Assurance: Transparency, confidence indicators, and humility28:05 – Three key questions to assess AI UX30:50 – The product case for trust: Compliance, loyalty, and retention33:00 – Final thoughts: Building the trust muscleFeatured Links: Follow Nina on LinkedIn | Weights & Biases | Check out Nina's 'The hidden UX of AI' slides from Industry Conference Cleveland 2025We're taking Community Questions for The Product Experience podcast.Got a burning product question for Lily, Randy, or an upcoming guest? Submit it here. Our HostsLily Smith enjoys working as a consultant product manager with early-stage and growing startups and as a mentor to other product managers. She's currently Chief Product Officer at BBC Maestro, and has spent 13 years in the tech industry working with startups in the SaaS and mobile space. She's worked on a diverse range of products – leading the product teams through discovery, prototyping, testing and delivery. Lily also founded ProductTank Bristol and runs ProductCamp in Bristol and Bath. Randy Silver is a Leadership & Product Coach and Consultant. He gets teams unstuck, helping you to supercharge your results. Randy's held interim CPO and Leadership roles at scale-ups and SMEs, advised start-ups, and been Head of Product at HSBC and Sainsbury's. He participated in Silicon Valley Product Group's Coaching the Coaches forum, and speaks frequently at conferences and events. You can join one of communities he runs for CPOs (CPO Circles), Product Managers (Product In the {A}ether) and Product Coaches. He's the author of What Do We Do Now? A...

In this Kitchen Side episode of The Long Game Podcast, the Omniscient team dives into a wide-ranging discussion on trust, research quality, and marketing visibility in an AI-driven world. They start with epistemology—what makes research “good” or “bad”—and reflect on how flawed correlations can mislead marketers. The team then unpacks their recent Winter study on how B2B buyers use LLMs like ChatGPT in the purchase journey, revealing that while LLMs are common early in research, peer feedback and brand transparency are essential in final decisions. They also explore the evolution of SEO into GEO/AEO, discuss organizational roles and feedback loops, and propose new cross-functional models for digital visibility in a world of probabilistic, AI-generated content.Key TakeawaysNot All Research Is Trustworthy: Internal/external validity and sample bias can distort marketing data—marketers need stronger research literacy.Correlation ≠ Causation: Data trends, especially in AI visibility, often include spurious relationships—interpret with caution.LLMs Are Entry Points, Not Final Decision Tools: While many B2B buyers start with AI search, they turn to peers and review sites before converting.Transparency Beats Perfection: Buyers trust brands that clearly state who they serve, what they do, and where they fall short.GEO Relies on Accuracy: Incorrect or outdated online information can mislead LLMs—fixing this improves visibility and conversions.Sentiment and Product Reality Matter: Negative perception from bad UX or old reviews isn't a marketing problem—it's a product and comms one.AEO Needs Cross-Functional Ownership: Teams like PR, content, SEO, and product marketing must collaborate to influence LLM visibility.A New Role May Be Needed: “Digital visibility lead” or a cross-team committee could help unify efforts across brand, SEO, and off-page strategy.Show LinksConnect with David Khim on LinkedIn and TwitterConnect with Alex Birkett on LinkedIn and TwitterConnect with Allie Decker on LinkedIn and TwitterConnect with Omniscient Digital on LinkedIn or TwitterWhat is Kitchen Side?One big benefit of running an agency or working at one is you get to see the “kitchen side” of many different businesses; their revenue, their operations, their automations, and their culture.You understand how things look from the inside and how that differs from the outside.You understand how the sausage is made. As an agency ourselves, we're working both on growing our clients' businesses as well as our own. This podcast is one project, but we also blog, make videos, do sales, and have quite a robust portfolio of automations and hacks to run our business.We want to take you behind the curtain, to the kitchen side of our business, to witness our brainstorms, discussions, and internal dialogues behind the public works that we ship.Past guests on The Long Game podcast include: Morgan Brown (Shopify), Ryan Law (Animalz), Dan Shure (Evolving SEO), Kaleigh Moore (freelancer), Eric Siu (Clickflow), Peep Laja (CXL), Chelsea Castle (Chili Piper), Tracey Wallace (Klaviyo), Tim Soulo (Ahrefs), Ryan McReady (Reforge), and many more.Some interviews you might enjoy and learn from:Actionable Tips and Secrets to SEO Strategy with Dan Shure (Evolving SEO)Building Competitive Marketing Content with Sam Chapman (Aprimo)How to Build the Right Data Workflow with Blake Burch (Shipyard)Data-Driven Thought Leadership with Alicia Johnston (Sprout Social)Purpose-Driven Leadership & Building a Content Team with Ty Magnin (UiPath)Also, check out our Kitchen Side series where we take you behind the scenes to see how the sausage is made at our agency:Blue Ocean vs Red Ocean SEOShould You Hire Writers or Subject Matter Experts?How Do Growth and Content Overlap?Connect with Omniscient Digital on social:Twitter: @beomniscientLinkedin: Be OmniscientListen to more episodes of The Long Game podcast here: https://beomniscient.com/podcast/

Liz Dahiana Nenning es una diseñadora e investigadora en diseño de experiencia en Argentina. En esta entrevista Liz nos cuenta sobre la comunidad de diseño ético, sus actividades y sus herramientas. Ahora están desarrollando una herramienta que puede medir la responsabilidad y contenido en relación al diseño ético, para educar a diseñadores. También hablamos de Más mujeres en UX, un colectivo feminista de diseñadoras que abren espacios de aprendizaje de pares para mujeres y disidencias. Esta entrevista es parte de las listas: Diseño inclusivo, Comunidades y colectivos de diseño, Diseño UX, Más mujeres en UX, Diseño feminista, Diseño con perspectiva de género y Argentina y diseño. Liz nos recomienda: Diseño ético comunidad en YoutubeModo Diseño de Franco PelegrinoClima, del Gato y la cajaPersonas para seguir: Ofelia PastranaEmi GarzónHijas de Internet- podcast

The 2025 MacVoices Holiday Gift Guide continues with travel tech, accessories, and creative picks from Marty Jencius, Michael D.J. Eisenberg, and Patrice Brend'amour. Recommendations include USB-C hubs, books for aviation fans, AirPods upgrades, Lego's new Star Trek piece, drive docks, and webcams.  Show Notes: Chapters: [0:00] Gift Guide Part Two Intro [0:36] Reviewing Picks So Far [1:40] USB-C Travel Hub Recommendation [4:17] Aviation Adventure Book Pick [7:33] AirPods and Noise-Canceling Choices [12:31] Screen Protector Discussion [17:12] Compact 4K Webcam Pick [20:08] LEGO Enterprise-D Enthusiasm [24:36] Mac Mini as a Starter Mac [27:24] Drive Dock for Expandable Storage [34:04] Gift Guide Wrap-Up and Links [35:04] Panelist Contact Information [38:40] Closing Remarks Links: MacVoices 2025 Holiday Gift Guide - Master Page MacVoices 2025 Holiday Gift Guide on Flipboard Marty Jencius MOKiN 10Gbps USB C Hub Ethernet, 7 in 1 USB C Adapter for MacBook Pro/Air with 4K@60HZ HDMI, 3*USB-C 10Gbps Data, RJ45, USB 2.0, 100W PD, USB C Dongle for MacBook, USB-C Dongle Obsbot Meet 2-4K Webcam for PC with 1/2" Sensor, AI Framing & Autofocus, Beauty Mode, Lightweight, Gesture Control, HDR, Dual Microphone, 60 FPS, Web Cam for Streaming Patrice Brend'amour Halfway around the World in 40 Days: From my daring Solo Flight in a small Propeller Plane over the Atlantic, the Pack Ice and the Desert by Kathrin Kaiser Lego Star Trek TNG Kit Michael D.J. Eisenberg Apple AirPods Pro 3 AirPods Max FURID Air Tag Wallet (no air tag included) Apple Mac Mini 28-Inch Thunderbolt 4 and USB-C Cable with 40 GBPS Data Transfer, 240W Power Charging and 8K Video Capability Chuck Joiner amFilm OneTouch Screen Protector for iPhone 17 Pro Max 6.9'' + Camera Lens Protector OWC Drive Dock USB 3.2 (10Gb/s) Dual-Bay Drive Docking Solution for 2.5-inch and 3.5-inch NVMe U.2 and SATA Drives Guests: Patrice Brend'amour is the creator, advocate and Product Manager of a global healthcare software initiative, which is not only pushing the industry to provide user-centered solutions using the latest advances in UX and technology, but also advancing the sharing of medical information between healthcare providers across the world. She is also an avid podcaster, mainly in the technology space, as well as a maintainer and contributor to a number of open source projects. Everything she does can be linked to from The Patrice, Michael D.J. Eisenberg is a is a solo practitioner based in Washington, DC, advocating for veterans, military members, and their families for nearly two decades. He has been helping lawyers and law offices utilize technology tools to promote efficiency and effectiveness for decades. He created the blog and podcast in 2019 to share that information and more with the world. Find information on his initiatives and his podcast at The Tech Savvy Lawyer. Dr. Marty Jencius has been an Associate Professor of Counseling at Kent State University since 2000. He has over 120 publications in books, chapters, journal articles, and others, along with 200 podcasts related to counseling, counselor education, and faculty life. His technology interest led him to develop the counseling profession ‘firsts,' including listservs, a web-based peer-reviewed journal, The Journal of Technology in Counseling, teaching and conferencing in virtual worlds as the founder of Counselor Education in Second Life, and podcast founder/producer of CounselorAudioSource.net and ThePodTalk.net. Currently, he produces a podcast about counseling and life questions, the Circular Firing Squad, and digital video interviews with legacies capturing the history of the counseling field. This is also co-host of The Vision ProFiles podcast. Generally, Marty is chasing the newest tech trends, which explains his interest in A.I. for teaching, research, and productivity. Marty is an active presenter and past president of the NorthEast Ohio Apple Corp (NEOAC) Support: Become a MacVoices Patron on Patreon      http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect: Web:      http://macvoices.com Twitter: http://www.twitter.com/chuckjoiner      http://www.twitter.com/macvoices Mastodon:      https://mastodon.cloud/@chuckjoiner Facebook:      http://www.facebook.com/chuck.joiner MacVoices Page on Facebook:      http://www.facebook.com/macvoices/ MacVoices Group on Facebook:      http://www.facebook.com/groups/macvoice LinkedIn:      https://www.linkedin.com/in/chuckjoiner/ Instagram:      https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes      Video in iTunes      Subscribe manually via iTunes or any podcatcher: Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

The panel of Chuck Joiner, Marty Jencius, Michael D.J. Eisenberg, and Patrice Brend'amour kicks off the 2025 Holiday Gift Guide series with practical, travel-friendly, and tech-savvy picks. From MagSafe wallets and AirTag-friendly money clips to AI development tools, travel routers, power banks, and portable speakers, each round offers creative and useful gift ideas for Apple users and frequent travelers looking to upgrade their daily gear. (Part 1)  MacVoices is supported by SurfShark. Go to https://surfshark.com/macvoices or use code “macvoices" at checkout to get 4 extra months of Surfshark VPN! Show Notes: Chapters: [0:00] Introduction to the 2025 Holiday Gift Guide[0:10] How the gift rounds work and panel introductions[1:26] Marty's pick: MagSafe wallet and stand[5:11] Michael's counterpick: AirTag-ready money clip[6:41] Patrice's pick: Windsurf AI development tool[9:36] Michael's pick: Travel surge protector[12:30] Chuck's pick: Rolling Square credit-card tracker[13:46] Discussion: Digital IDs and travel concerns[15:13] Surfshark sponsorship segment[17:39] Round 2 begins: Cardia Mobile 6-lead EKG device[23:41] Patrice's pick: GL.iNet travel router[26:56] Michael's pick: Anker Prime 26K power bank[29:49] Chuck's pick: JBL Flip Series Bluetooth speakers Links: Marty Jencius MagSafe Wallet, Card Holder with Stand, Magnetic Phone Wallet Stand for iPhone Pro Max Air Plus Series, RFID Blocking Vegan Leather AliveCor KardiaMobile   EKG Monitor - Six Views of The Heart - Detects AFib and Irregular Arrhythmias- Instant Results in Seconds Patrice Brend'amour Windsurf GL.iNet GL-MT3000 (Beryl AX) Portable Travel Router, Pocket Wi-Fi 6 Wireless 2.5G Router, Portable VPN Routers WiFi for Travel Michael D.J. Eisenberg Eaton Tripp Lite TRAVELER3USBC Travel Power Strip & USB Charger, Flat Plug, 306J Surge Protector, USB-C + USB-A Port, 2-Outlets, 18" Cord & Cable Wrap Anker Prime Power Bank (26K, 300W) Chuck Joiner Rolling Square AirCard Pro - Apple Find My only – Bluetooth Tracker Card, Wireless Charging, Digital ID, Anti-Loss Wallet Tracker JBL Flip 7 - Portable Waterproof and Drop-Proof Speaker, Bold Pro Sound with AI Sound Boost, 16Hrs of Playtime, and PushLock System with Interchangeable Accessories   Guests: Patrice Brend'amour is the creator, advocate and Product Manager of a global healthcare software initiative, which is not only pushing the industry to provide user-centered solutions using the latest advances in UX and technology, but also advancing the sharing of medical information between healthcare providers across the world. She is also an avid podcaster, mainly in the technology space, as well as a maintainer and contributor to a number of open source projects. Everything she does can be linked to from The Patrice, Michael D.J. Eisenberg is a is a solo practitioner based in Washington, DC, advocating for veterans, military members, and their families for nearly two decades. He has been helping lawyers and law offices utilize technology tools to promote efficiency and effectiveness for decades. He created the blog and podcast in 2019 to share that information and more with the world. Find information on his initiatives and his podcast at The Tech Savvy Lawyer. Dr. Marty Jencius has been an Associate Professor of Counseling at Kent State University since 2000. He has over 120 publications in books, chapters, journal articles, and others, along with 200 podcasts related to counseling, counselor education, and faculty life. His technology interest led him to develop the counseling profession ‘firsts,' including listservs, a web-based peer-reviewed journal, The Journal of Technology in Counseling, teaching and conferencing in virtual worlds as the founder of Counselor Education in Second Life, and podcast founder/producer of CounselorAudioSource.net and ThePodTalk.net. Currently, he produces a podcast about counseling and life questions, the Circular Firing Squad, and digital video interviews with legacies capturing the history of the counseling field. This is also co-host of The Vision ProFiles podcast. Generally, Marty is chasing the newest tech trends, which explains his interest in A.I. for teaching, research, and productivity. Marty is an active presenter and past president of the NorthEast Ohio Apple Corp (NEOAC). Support:      Become a MacVoices Patron on Patreon     http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:     http://macvoices.com      Twitter:     http://www.twitter.com/chuckjoiner     http://www.twitter.com/macvoices      Mastodon:     https://mastodon.cloud/@chuckjoiner      Facebook:     http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:     http://www.facebook.com/macvoices/      MacVoices Group on Facebook:     http://www.facebook.com/groups/macvoice      LinkedIn:     https://www.linkedin.com/in/chuckjoiner/      Instagram:     https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes     Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

Get a private, on-screen walkthrough of Google's new Gemini 3.0 with Logan Kilpatrick. We vibe-code full apps, games, and product UIs in real time. You'll see how to go from raw idea to working product in a single prompt, then iterate visually with design, features, and AI workflows. They turn an IdeaBrowser concept into a live talent-matching platform, screenshot-clone the IdeaBrowser UI, wire up a “generate tomorrow's idea” feature grounded in Google Search, and even add co-founder matching on top. If you're building with AI or still on the fence, this episode shows what's now possible with Gemini 3.0 Pro in AI Studio. Timestamps 00:00 – Intro 01:00 – What Gemini 3 is and where it lives (Gemini app, AI Studio, API) 03:03 – Vibe Coding 3D games 09:27 – Vibe Coding an idea from IdeaBrowser 25:02 – Screenshot-cloning the IdeaBrowser UI and regenerating it in Gemini Key Points Gemini 3.0 Pro in AI Studio lets you “vibe code” full apps—UI, logic, and AI features—from natural-language prompts, then iteratively refine them. Games and complex simulations are a stress-test and showcase for the model's capabilities, not just toys. You can paste an entire business idea (like IdeaBrowser's generational talent-matching concept) into AI Studio and get a working, multi-screen product with AI-powered workflows. Gemini 3.0 Pro is free to use inside AI Studio up to generous limits, and the API is priced at $2 per million input tokens and $12 per million output tokens under 200K input tokens. Screenshot-driven UI cloning plus “add five more features” prompts are powerful loops for product and UX ideation. You can layer social features like co-founder matching directly on top of idea-discovery products with only a few additional prompts. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ Boringmarketing - Vibe Marketing for Companies: boringmarketing.com The Vibe Marketer - Join the Community and Learn: thevibemarketer.com Startup Empire - get your free builders toolkit to build cashflowing business - https://startup-ideas-pod.link/startup-empire-toolkit Become a member - https://startup-ideas-pod.link/startup-empire FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND LOGAN ON SOCIAL X/Twitter: https://x.com/OfficialLoganK  Youtube: https://www.youtube.com/@LoganKilpatrickYT  LinkedIn: https://www.linkedin.com/in/logankilpatrick/

In this episode from the UXR Minds podcast, Darren is interviewed by Dale Husband. They discuss the state of UX today and how to overcome the misinformation that overshadows the discipline.REMINDER: Video is available for this episode via select resources. #ux#podcasts#cxofmradio#cxofm#realuxtalk#worldofux#worldouxBookmark the new World of UX website at https://www.worldoux.com. Visit the UX Uncensored blog at https://uxuncensored.medium.com. Get your specialized UX merchandise at https://www.kaizentees.com.