Podcasts about UX

Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Money Making Conversations Master Class with Rushion McDonald is America's premier entrepreneurship, business leadership, financial literacy, and wealth-building podcast featuring successful entrepreneurs, executives, founders, celebrities, and industry experts sharing actionable insights for professional and financial success. Business Podcast Entrepreneurship Small Business Business Growth Financial Literacy Wealth Building Black Entrepreneurs Minority Business Leadership Executive Leadership Business Funding Marketing Strategies Personal Development Startup Advice Sales Training CEO Interviews Founder Stories Professional Development Economic Empowerment Business Success Networking Brand Building Innovation How to start a business Small business funding Entrepreneur success stories Business leadership podcast Wealth building strategies Black entrepreneur podcast Minority business development Marketing for small businesses Business growth strategies Startup funding opportunities Executive leadership training Financial literacy education Success mindset podcast Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Cassandra Lester.

Positioning is quietly becoming the skill that separates people who stand out in UX and product from people who get left behind, especially now that AI can build almost anything in seconds. In this episode, Sarah makes the case for why the ability to build fast is no longer the advantage it used to be, and why knowing what's worth building, and framing it well, matters more than ever.Sarah traces this back to a belief she used to hold herself, that good work speaks for itself. It doesn't. She shares how she avoided a required public speaking class in college, only to realize later that the real skill was never about sounding polished or the delivery. It was about the thinking that happens before you say a single word, or type a single sentence, or design a single sales page.She also shares a recent story from her own business, where a team she hired to build an AI tool ignored the detailed context she gave them and rushed straight into building, producing a prototype that missed the mark entirely. She ended up building it herself, faster, because she had the clarity they skipped in the process. That story becomes the jumping off point for two ideas Sarah argues will define who stands out in UX and product going forward, knowing what's worth building, and framing the work so people actually say yes to it.If you've ever felt invisible in a meeting, passed over for a promotion, or like your UX job search ideas keep getting ignored, this episode reframes that feeling as a positioning problem rather than a skills problem, and gives a concrete way to start fixing it this week.Topics Discussed✅ Why "good work speaks for itself" is a myth that's quietly keeping talented people invisible✅ The real reason some ideas get funded, approved, or hired for in UX, and it's rarely because they were the best idea✅ A story about hiring a team to build an AI tool, and what happened when they skipped the thinking and rushed straight to building✅ Why knowing what's worth building is about to matter more than how fast you can build it✅ A real example of a stakeholder update that got buried, and the exact rewrite that would have gotten a faster yes✅ Why leading with the "so what" instead of the "what" changes how quickly people respond to your ideas✅ How the same positioning skill applies just as much to your UX job search, your portfolio, and a promotion conversation as it does to a pitch✅ A simple challenge to try this week on your next email, Slack message, or updateLinks & Resources

In deze 100ste aflevering kijken we samen met gast Erik terug op de ontwikkelingen van Figma, browsers, CSS, apps en de verandering van de rol als UX Designer in de afgelopen 6 jaar. Daarnaast nemen we deze aflevering op in hartje Groningen in het Forum. Uiteraard geven we jullie nog weer praktische, leuke en handige tips! 01:52 - Terugblik op Figma 15:12 - Terugblik op browserontwikkeling 25:45 - Terugblik Technieken, tools en apps die het niet hebben gered 33:24 - Terugblik op Cloud gaming 43:26 - Terugblik op AI 48:00 - AI in games 53:25 - Terug op toegankelikheid 01:06:29 - Erik heeft een eigen LP laten maken 01:18:50 - Terugblik op home automation 01:30:59 - Terugblik op de rol van de UX designer 01:44:50 - Terugblik op alle footers 01:49:35 - Million Dollar Secret Seizoen 2 - https://www.netflix.com/nl-en/title/81731670 01:51:00 - AEG Vx8.2 stofzuiger 01:55:49 - TV Serie: Unit 13 - https://youtube.com/playlist?list=PLoNJZg83zwjF8CI_VmY2D5BBMg607OF48 01:59:22 - Barcado interactieve gametafel - https://www.barcado.nl/ 02:04:12 - Virtuele thuisaccu voor Homeassistant - https://github.com/hif2k1/battery_sim 02:09:41 - Obsidian notes

Cześć, dzień dobry!Jak wygląda droga od jednoosobowej firmy programistycznej do grupy IT liczącej setki osób? W tym odcinku podcastu „BSS bez tajemnic”, w cyklu „Kim ONI są?” rozmawiam z Jerzym Kuflem – założycielem i prezesem Grupy ITEO.Posłuchajcie historii budowania firmy technologicznej, która zaczynała od tworzenia aplikacji mobilnych dla dealerów samochodowych, a dziś realizuje projekty dla klientów z wielu branż i rozwija grupę spółek poprzez akwizycje.Jerzy Kufel opowiada, jak ITEO rozwijało się przez ponad 15 lat – od kilkuosobowego zespołu, przez pierwszych klientów zagranicznych ze Stanów Zjednoczonych, Singapuru, Australii i Wielkiej Brytanii, aż po obecną działalność na rynku polskim i rozwój międzynarodowy. W rozmowie pojawia się także temat Arabii Saudyjskiej i tego, dlaczego w tamtym regionie biznes wymaga budowania relacji bezpośrednio na miejscu.Jerzy mówi o także o tym, jak akwizycje pozwalają szybciej zdobywać klientów i uzupełniać kompetencje technologiczne grupy.Nie zabrakło również AI i jego wpływu na branżę IT. Rozmawiamy o programowaniu z wykorzystaniem sztucznej inteligencji, przyszłości zespołów developerskich oraz o tym, dlaczego wraz z rozwojem AI coraz większego znaczenia nabierają UX, UI, badania użytkowników i projektowanie produktów cyfrowych.Jerzy Kufel opowiada także o modernizacji starszych systemów IT, projektach dla Masterlease, współpracy z InPostem, strukturze zespołu ITEO oraz planach dalszego rozwoju.Zapraszam  Linki:Iteo – https://iteo.com/Jerzy Kufel na Linkedin – https://www.linkedin.com/in/jerzykufel/Iteo na Linkedin - https://www.linkedin.com/company/iteo-software-house/  ****************************  Nazywam się Wiktor Doktór i na co dzień prowadzę Klub Pro Progressio https://proprogressio.com/pl/dzialalnosc/klub-pro-progressio/1 – to społeczność wielu firm prywatnych i organizacji sektora publicznego, którym zależy na rozwoju relacji biznesowych w modelu B2B. W podcaście BSS bez tajemnic poza odcinkami solowymi, zamieszczam rozmowy z ekspertami i specjalistami z różnych dziedzin przedsiębiorczości.Zapraszam do odwiedzin moich kanałów na:YouTube - https://www.youtube.com/@wiktordoktor Facebook - https://www.facebook.com/wiktor.doktor LinkedIn - https://www.linkedin.com/in/wiktordoktor/ Moja strona internetowa - https://wiktordoktor.pl/ Możesz też do mnie napisać. Mój adres email to - kontakt(@)wiktordoktor.pl   ****************************  Patronami Podcastu “BSS bez tajemnic” są: Marzena Sawicka https://www.linkedin.com/in/marzena-sawicka-hillway-training/Przemysław Sławiński https://www.linkedin.com/in/przemys%C5%82aw-s%C5%82awi%C5%84ski-155a4426/ Damian Ruciński - https://www.linkedin.com/in/damian-rucinski/ Szymon Kryczka https://www.linkedin.com/in/szymonkryczka/Grzegorz Ludwin https://www.linkedin.com/in/gludwin/ Adam Furmańczuk https://www.linkedin.com/in/adam-agilino/ Igor Tkach - https://www.linkedin.com/in/igortkach/ Damian Wróblewski - https://www.linkedin.com/in/damianwroblewski/ Paweł Łopatka - https://www.linkedin.com/in/pawellopatka/ Wiktor Doktór Jr. - https://www.linkedin.com/in/wiktor-dokt%C3%B3r-jr-916297188/Agata Stolarz - https://www.linkedin.com/in/agata-stolarz/Hubert Antczak - https://www.linkedin.com/in/hubert-antczak/  Wspaniali ludzie, dzięki którym pojawiają się kolejne odcinki tego podcastu. Ty też możesz wesprzeć rozwój podcastu na: Patronite - https://patronite.pl/wiktordoktor Patreon - https://www.patreon.com/wiktordoktor Buy me a coffee - https://www.buymeacoffee.com/wiktordoktor Buycoffee.to - https://buycoffee.to/wiktordoktor Become a supporter of this podcast: https://www.spreaker.com/podcast/bss-bez-tajemnic--4069078/support.

A inteligência artificial não está mudando apenas ferramentas e processos, ela está redefinindo profundamente a forma como produtos são pensados, construídos e evoluídos. Neste episódio, conversei com Gustavo Oliveira sobre como profissões ligadas ao desenvolvimento de produto estão sendo transformadas pela IA, desde Product Designers e Product Managers até desenvolvedores e lideranças executivas.A partir de uma visão mais estratégica e madura sobre produto, discutimos as mudanças estruturais que a IA vem provocando nas empresas, o deslocamento do foco da execução para pensamento crítico e tomada de decisão, além do impacto disso nas dinâmicas entre times. Falamos também sobre vantagem competitiva, produtos conversacionais, automação de decisões, responsabilidade de liderança e o tipo de cultura organizacional necessária para navegar esse novo cenário sem perder profundidade humana e visão de negócio. Um papo denso e provocador sobre o futuro das profissões e dos produtos em um mundo cada vez mais impulsionado por inteligência artificial.LinkedIn Gustavo Oliveira https://www.linkedin.com/in/gustavosoliveiraMentoria Luan Mateus ⁠⁠⁠⁠https://mentoria.papodeux.com.br⁠⁠⁠⁠News do Papo ⁠⁠⁠⁠⁠⁠⁠https://papodeux.substack.com⁠⁠⁠⁠⁠⁠⁠Instagram ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://instagram.com/papodeux/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube ⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@papodeux⁠⁠⁠⁠⁠⁠⁠⁠⁠

Per info: iusondemand.com/siti o sitieassistenza.itRichieste di Sviluppo WebAssicurazione: Consigli per sito semplice e professionale, ricerca sviluppatori o piattaforme.E-commerce (10-15 prodotti): Soluzioni custom o Shopify, SEO, mobile-friendly, gestione ordini.Mock test educativi: Login, dashboard studenti, pagamenti, admin panel, 50+ test per materia.Sito personale per proposta: Aiuto per creazione sito esteticamente gradevole senza competenze tecniche.Offerte di ServiziSviluppo web professionale: Siti business, e-commerce, portfolio, SEO-friendly, da $100.Design & sviluppo SaaS: Esperienza in fintech, banking, SaaS, supporto multilingue (AR/EN/FR).Studio di design custom: Siti su misura per startup, healthcare, consulenti, focus su UX e conversioni.WordPress specialist: Siti business, e-commerce (WooCommerce), landing page, SEO, WhatsApp integration.Manutenzione gestita: Sviluppo + hosting + aggiornamenti mensili, senza costi iniziali alti.Idee e DomandeWebsite inesistenti: Idee per siti che risolvono problemi reali (es. negoziazione abbonamenti, pianificazione viaggi).Feature mancanti: Funzionalità utili non ancora standard (es. miglioramenti per shopping, travel, forum).Automazione SEO: Uso di MERN Stack + n8n per ricerca keywords, content planning, social media.Rebuild vs miglioramento: Quando conviene rifare un sito da zero invece di aggiornarlo.Problemi TecniciLentezza caricamento: Ottimizzazione asset, hosting (Netlify), parallax vs performance.Gestione clienti: Difficoltà a trovare clienti per freelance, strategie di outreach.Vendite e CollaborazioniSito in vendita: "Jeeplanner" (SaaS per esami, 26k visite, 5k utenti in 12 giorni).Feedback gratuiti: Analisi siti esistenti (design, velocità, SEO, UX) per small business.Progetti urgenti: Sviluppo lead page, funnel, automazioni (GHL, Systemeio, WordPress).Strumenti e PiattaformeCostruttori vs custom: Confronto tra Wix, Squarespace, Shopify e soluzioni codificate.Migrazioni: Passaggio da piattaforme chiuse a soluzioni custom più flessibili.CMS: Aggiunta di CMS a siti statici per gestione contenuti senza sviluppatori.AltroTendenze design: Siti "dinamici" con animazioni vs usabilità (es. burger che si assemblano).Risorse per sviluppatori: Idee per portfolio, progetti open-source, nicchie di mercato.Localizzazione: Siti bilingual (AR/EN/FR) o RTL per mercati specifici. Note:Raggruppamento: Categorie basate su intenti (richieste, offerte, idee, problemi tecnici). Chiave-valore: Sintesi diretta delle informazioni, evitando ridondanze. Esclusioni: Omesse discussioni generiche (es. "grazie") e dettagli ripetuti (es. "DM per info").Per info: iusondemand.com/siti o sitieassistenza.it

Discover how seasoned technology executive Ken Gavranovic shares insights on building innovative products, leading digital transformation, and harnessing AI to drive business growth. Whether you're an aspiring entrepreneur or a product leader, learn practical strategies to navigate and excel in the tech landscape.In this episode:Ken Gavranovic's journey from early computer programming to leading multi-million dollar venturesThe importance of clear success metrics versus activity metrics in product developmentHow observability and customer feedback drive product improvementsStrategies for managing cultural and organizational change during transformationThe impact of AI on engineering productivity and product innovationPractical tips for setting goals versus making rigid commitmentsThe role of risk-taking in entrepreneurial successFuture trends in AI and how they will shape business and customer experiencesLinks from the Show:Website: Ken GavranovicBook: Colombus DayMore 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

Vinny Lingham is a Bitcoin OG who pioneered gift card payments in 2012 with Gyft, served on the board of the Bitcoin Foundation, spearheaded blockchain identity verification with CIvic, and in more recent years moved on to managing risk with Praxos Capital. Thanks to some of his accurate price predictions, Vinny has also received the nickname "The Oracle". In this episode, we talk about his Bitcoin journey and how his views have evolved over the last 14 years. Time stamps: 00:01:06 Intro & sponsors: Vinny Lingham, 15 years in Bitcoin 00:02:04 Gyft: a dozen companies and one gift card problem 00:02:26 Chargebacks, stolen cards & getting attacked by scammers 00:04:13 Why Bitcoin looked like the perfect payment rail 00:04:51 Zero-conf payments and the first-seen rule 00:05:48 The Starbucks and McDonald's signature math 00:06:51 100,000 Bitcoin payments, zero double spends 00:07:13 Civic's Bitcoin patents & the 2017 fee explosion 00:07:37 Blockstream, Adam Back, MIT and the Epstein files 00:08:10 Core keeps pruning dissenting voices 00:08:55 Why Bitcoin still can't be the whitepaper's payment system 00:09:08 Counterparty, Mastercoin & the birth of Ethereum 00:09:34 "Nothing has happened in Bitcoin in five years" 00:10:16 Why he went and backed Solana instead 00:10:23 Sympathy for BIP 110 over Core 00:11:08 Inscriptions can be done many ways 00:12:27 "Lightning will be ready in 18 months" forever 00:13:26 Drivechains, BIP 300 & the Ecash fork paying miners 00:14:44 UX, mainstream users and idiot-proof money 00:15:17 People who don't know you can hold BTC outside an ETF 00:15:27 Is the ETF the real scaling layer? 00:15:37 What Vinny signed up for when he read the whitepaper 00:16:30 Wayne Vaughn in the chat 00:16:48 Saylor's Bitcoin Security Consortium and the $15M 00:17:24 Saylor argues against bigger blocks and covenants 00:17:49 How is this different from the Bitcoin Foundation? 00:18:36 Saylor as systemic risk: crashing the minority fork 00:19:43 Losing SPV and the simplicity of early Bitcoin 00:20:48 When did you last actually use Bitcoin? 00:21:22 Six confirmations vs Apple Pay 00:21:41 Gyft's customers who had no credit cards 00:22:07 Not a store of value: a store of liquidity 00:23:24 So what is a store of value, exactly? 00:26:00 The 100 year test: one ounce of gold buys one suit 00:27:09 Does the whitepaper ever say "digital gold"? 00:27:53 Saylor's redefinition: expensive to move, held by institutions 00:28:08 Privacy, tiny payments and why volume creates stability 00:28:42 Exchanges are layer two, Lightning is layer three 00:29:06 Solana at the World Series of Poker 00:30:07 BSV, Teranode, BCH and who actually handles volume 00:30:58 Does everyone really need to run a node? 00:31:30 Luke Dashjr, 16MB blocks and 50 billion Catholics 00:33:34 Arguing with someone who redefines words 00:34:33 How did Blockstream become so politically powerful? 00:35:40 Reid Hoffman's $20 million 00:36:26 Reading the Epstein files with Bitcoin eyes 00:36:45 Tether won the global south instead 00:37:42 "The community is people who never built anything" 00:38:00 Why Elon Musk walked away from Bitcoin 00:39:07 The ESG excuse & the Bitcoin Mining Council 00:40:05 Elon on bandwidth, latency and second layers 00:41:03 Why Civic started on Bitcoin and left 00:42:05 Multicoin, the Solana seed round & founding Praxos 00:42:29 Why "Civic" and not "Supra" 00:42:46 Nobody wants identity: crypto's actual number one use case 00:44:03 Zcash's comeback, Ironwood & the auditable supply 00:45:34 Delistings and the headwinds facing privacy coins 00:46:06 Why Zcash chose DeFi rails over merchant adoption 00:47:07 How to know you're in a bear market 00:47:25 Elgamarov & how small this world really is 00:48:10 What does Vinny actually hold today? 00:49:27 Praxos: delta neutral, funding rates and volatility 00:51:44 Sponsors: Braiins, Cake Wallet, SideShift, LayerTwo Labs, Orange Rock 00:54:40 Wayne Vaughn's question: will the CLARITY Act pass? 00:56:47 Michael Saylor and the Strategy problem 00:57:14 The GBTC discount scenario 00:58:16 Why August could be a bloodbath 01:01:56 Node counts, sybil attacks and hash rate 01:03:16 The rewritten history of SegWit and SegWit2x 01:04:19 How Bitcoin Cash became the fallback plan 01:04:59 Gavin Andresen and the word "bamboozled" 01:06:00 Was Craig Wright involved at all? 01:08:04 Hal Finney's logs and the Van Nuy, California IP address 01:08:55 GMX, German privacy law and the missing paper trail 01:11:17 Roger Ver, the checksum test and Craig 01:13:00 Asking Claude who Satoshi is 01:14:17 The case for Nick Szabo and the trusted third parties 01:15:31 The counterfactual: what if Bitcoin had scaled? 01:19:35 Tron, USDT and five years of outperforming BTC 01:20:09 Bitcoiners understand supply, not demand 01:20:36 What happens when the block rewards run out 01:21:15 Rentable SHA256 and the state actor attack scenario 01:22:54 Will Vinny claim the August fork airdrops?

In this episode of Software People Stories, I speak with Saraswathi, a marketing leader with over 15 years of cross-industry experience,  about the role of marketing in technology—especially how product marketers translate technical ideas into stories customers can understand and care about. We talk about digital communication, customer empathy, product adoption, AI in marketing, useful metrics, and practical career advice for anyone curious about moving into marketing. It is a thoughtful conversation on bridging products, people, and business impact.Among the highlights from this conversation are:Marketing fundamentals stay consistent, but customer pain points differ across industries.Digital content must be concise, compelling, and quick to capture attention.Audience niches and personalization help messages resonate better.Product marketers act as the bridge between product, UX, sales, and customers.Training works best when broken into short, accessible, in-product learning moments.Email remains effective when segmented and relevant to the audience.AI helps with competitive research, brainstorming, mockups, and faster first drafts.Brand voice can be protected by giving AI clear style guides, examples, and do's and don'ts.Marketing impact should connect to opportunities, conversions, and revenue—not only vanity metrics.Support tickets offer unfiltered customer insight and can shape better messaging and product decisions.Career switchers can use transferable skills and start by getting closer to customers.Planning, yoga, short walks, and pausing before reacting help Saraswathi stay calm and grounded.Saraswathi Shanth Kumar (Sara) is a marketing leader with over 15 years of cross-industry experience translating complex products into compelling market stories. Her career spans advertising, journalism, SaaS, and Big Tech, leading to her current role at an edtech company in the Bay Area. Sara sees product marketing as the critical translator between product and market — and approaches every challenge with a problem-solver's mindset and a startup's appetite for experimentation. Outside of work, you can find her gardening, practicing yoga, and hiking the many trails in the Bay.My LinkedIn: http://www.linkedin.com/in/saraskumar

In an era where personalization is king, can a brand truly be sustainable, or are we just using new technology to fuel the same old consumption patterns?Agility requires a willingness to challenge established business models and integrate new technologies not just for efficiency, but for purpose. It demands we rethink the entire value chain, from production to the end of a product's life.Today, we're going to talk about the intersection of artificial intelligence, sustainability, and retail. We'll explore how technology isn't just a tool for optimization, but a catalyst for building entirely new, purpose-driven business models that challenge the status quo of consumerism.To help me discuss this topic, I'd like to welcome, Anya Cheng, CEO at Taelor. About Anya ChengAnya Cheng is the Founder & CEO of Taelor, an AI-powered men's clothing subscription service promoting sustainable fashion. A Silicon Valley entrepreneur, she has been recognized among "Girls in Tech 40 Under 40" for her expertise in tech product management and marketing. Anya played a pivotal role in launching Facebook and Instagram Shopping at Meta, led new business expansion at eBay, and helped grow McDonald's global food delivery. She also shaped Target's mobile commerce and has led teams in AI, product management, UX, and marketing across Fortune 500 companies. Her work has earned 20+ prestigious awards, including the Webby Award for Best Shopping App, Best Mobile App Award, and The Communicator Award. A best-selling author, adjunct professor, and two-time TED speaker, she lectures at Northwestern University and 500 Global and is a sought-after keynote speaker. Anya's award-winning venture, Taelor, won first place at Draper University's Startup Competition and was named a Startup to Watch by Bay Area Inno. She holds a Master's in Integrated Marketing Communications from Northwestern University and an MBA from the University of Chicago Booth School of Business.Anya Cheng on LinkedIn: https://www.linkedin.com/in/anyacheng/---------- Resources ---------- Taelor: https://www.taelor.aiThe Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://aglbrnd.co/r/2868abd8085a9703We're proud to be a media partner for #MAICON26 - Oct. 13-15! Learn how AI can power your marketing and business and help you grow smarter. Use code AGILE150 to save! https://aglbrnd.co/r/7fe458ced0f04658Reach your customers with Reddit. Spend $500 in ad spend, get $500 back in ad credit! Learn more: https://advertalize.com/r/491818c79fb1873fChaser is the only Slack-native project management platform that helps teams turn messages into tracked tasks, automate follow-ups, and maintain team-wide visibility, without adopting another tool. Now integrated with Claude and other GenAI tools. Learn more at trychaser.com and use code AGILEBRAND for a 3-month free trial (normal trial is 14 days).The most influential minds in software, AI, and engineering leadership will be at WeAreDevelopers World Congress North America, September 23-25 in San Jose. Learn more: https://aglbrnd.co/r/60a7299222a7bcf1Start building your own apps with Replit and get $20 off. Learn more: https://aglbrnd.co/r/93531742a7625a20Enjoyed the show? Tell us more at and give us a rating so others can find the show at: https://aglbrnd.co/r/faaed112fc9887f3Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: https://aglbrnd.co/r/35ded3ccfb6716baCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.comThe Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company Hosted on Acast. See acast.com/privacy for more information.

Professor Ayelet Segal, Human-Computer Interaction and UX expert and Head of the "AI & I" Lab of Bar Ilan's Faculty. Drawing on decades of experience in cognitive psychology, user experience, and technology innovation, she explains how AI can amplify rather than replace human expertise. She discusses human-centred design working on AI digital twins, personality-informed avatars, and why context and trust influence the quality of human-AI interactions. Ayelet describes how LLMs are not search engines but simulate our world and expand human capabilities. She shares how new methodologies are accelerating scientific breakthroughs. Ayelet explains how she is preparing emerging leaders to effect change, combining AI with soft skills to transform industries.    KEY TAKEAWAYS  [00:31] Visual communication studies leads Ayelet toward interactive media and human technology.  [01:41] Her doctoral research explored touchscreen gestures for improved learning applications.  [05:12] Every technological revolution creates significant human behavioural change.  [05:45] Human-centred design combines cognitive psychology, design skills with emerging technology.  [06:40] Effective innovation begins with human needs, expert input, and iterative testing.  [09:14] Tech advances now enable more natural, human-centred interactions.  [09:59] Video avatars can provide accessible, conversational expertise across many professional fields.  [11:35] Digital twins use someone's knowledge base as well as their appearance and voice.  [12:14] AI companions sustain 'natural' conversations by answering, encouraging, and remembering.  [13:25] Video mentors generate longer, richer, more accurate interactions than text-based chatbots.  [14:14] Natural conversation and proactive prompting can strengthen users' trust and engagement.  [17:02] LLMs are not search engines. They simulate our world, including its strengths and biases.  [17:40] Effective AI companions benefit from personalities appropriate to the specific professions.  [18:36] Touchcast's avatars incorporate five personality traits as well as other parameters.  [19:11] AI communication – to/from humans – should adapt language according to the audience.  [21:21] Clear, defined context helps LLMs deliver more accurate answers.  [22:30] LLMs gradually learn about the user, creating important foundation context about them.  [23:55] Human-AI interaction is two-way, making individual accounts important for accuracy.  [25:57] AI should become a cognitive partner that amplifies professional capabilities.  [26:30] Professionals must creatively develop methodologies that expand their abilities with AI.  [27:00] AI is transforming UX research, enabling greater scale, depth, and analysis.  [27:30] AI-generated synthetic personas support research when human participants are unavailable.  [29:01] Integrating AI throughout scientific research can enable new breakthroughs.  [30:00] AI can help researchers rethink questions, not simply accelerate solutions.  [33:21] New AI implementation roles require leaders who bridge technology and industry.  [34:00] Students can become change makers using AI to identify transformative approaches.  [34:57] AI implementation skills can accelerate graduates into meaningful management roles.  [37:15] Successful change makers need skills in leadership, creativity, collaboration, and conflict mitigation.  [38:00] Leading AI change requires gathering supporters and navigating organizational resistance.  [39:00] Engaging deeply with AI now creates competitive edge for future leaders.  [42:10] Even experienced AI experts feel overwhelmed by the technology's rapid growth.  [43:13] People should focus on AI tools and developing solutions relevant to their profession.  [44:27] Treat AI as a superpower extending your mind, capabilities, and professional impact.  [44:48] Exploring real workplace needs can quickly inspire useful AI applications.  [45:58] Despite genuine risks, AI can solve previously intractable global problems.  [48:11] AI can advance sustainability, healthcare, education, and other critical domains.  [48:40] Everyone can use AI's superpower to create positive global impact.  [49:00] IMMEDIATE ACTION TIP: Explore one professional challenge and develop an AI-supported solution this week.    QUOTES   "We've experienced a few technological revolutions….Each time, for example, when we started to create the applications for mobiles, there was also a big behavioural change."    "We have now a technology that could be finally much more natural and human-centred."  Re LLMs "It's a simulation of our world and it comes with everything that we know about it. With the good things and the bad things and we need to treat it this way."  "It's about the context that you feed it, and then it's learning you through time and it's adjusting the answer based on that. So you really want to be cognisant about that….the interaction is two-way."  "We really need to be creative about how to use it [AI] and develop our own methodologies."  "In order to be a change maker and lead, you really need to learn how to deal with people who are against change."  "Every one of us has a [AI] superpower, and we should use it to do good in the world." 

Stop Doom-Scrolling! In 2026, the global average screen time has climbed to a staggering 6 hours and 38 minutes a day. We are constantly plugged in, but is it a lack of willpower, or are we just losing a rigged game? Today on the podcast, we sit down with Aditi Mandal to find out. Aditi spent a time working as a UX researcher, designing and making highly engaging digital products.  But in 2017, she realized she was falling victim to the very systems she helped build. After embarking on a digital fitness journey, Aditi successfully beat the algorithms, engineering her own screen time down from 6 hours to just 1 intentional hour a day., Now, through her company Take Back Your Time, she coaches adults on how to build sustainable digital habits.  We break down the exact mechanics of why we are addicted to our phones, the specific design tricks apps use to keep you scrolling, and the step-by-step toolkit you need to reclaim your attention without deleting the apps you need for work. Whether you're an entrepreneur struggling to focus or just someone looking to reclaim your attention span, Aditi breaks down actionable strategies—from introducing "positive friction" to buying an old-school alarm clock—that actually work in the real world. Key Takeaways from this Episode The UX of Addiction: Why screen addiction isn't your fault—it's the consequence of thousands of engineers designing platforms to capture your attention. How Aditi: operates as a solopreneur and runs her 5-week cohort programs. Navigating the social perception of screen addiction and convincing people to invest in digital fitness. Real client stories: Better sleep, increased energy, and a touching story of a father bonding with his son. Beating the Algorithm: We break down the specific mechanical tricks apps use to keep you hooked, and the exact counter-strategies you need to fight back. The 4 Foundational Digital Habits: The exact, step-by-step mechanisms Aditi uses to help her clients break free from endless scrolling. The "Necessary App" Dilemma: How to set boundaries with mandatory apps like WhatsApp and LinkedIn that you simply cannot delete. Building a Wellness Business: Aditi's journey of bootstrapping Take Back Your Time, finding her first paying clients, and growing her WhatsApp community. The Myth of Device Addiction: The core issue isn't an addiction to the physical device, but a compulsion to consume content every 10 to 15 minutes. Engineering "Positive Friction": How to make content consumption inconvenient by changing settings like YouTube autoplay, pausing your watch history, and keeping devices in another room. The "Long-Distance" Phone Relationship: Why keeping your phone physically away from you in a backpack or another room creates the necessary pause between a thought and a distraction. Why Digital Detoxes Fail: Retreats offer temporary peace, but they remove you from your real-life context. Sustainable change requires doing the habit work in your actual environment. and much more! Links www.takebackyourtime.in https://x.com/takebackyortime https://www.linkedin.com/in/aditi-mandal-77139742/ Hosted And Produced by Neil Patel https://www.linkedin.com/today/author/neilpatel2 Enjoyed this episode? Don't forget to subscribe and leave us a review! Share this episode with your friends. Listen and Subscribe to More Episodeshttps://www.indianstartupshow.com/ Music by Punch Deck.https://open.spotify.com/artist/7kdduxAVaFnbHJyNxl7FWV

In an era where personalization is king, can a brand truly be sustainable, or are we just using new technology to fuel the same old consumption patterns?Agility requires a willingness to challenge established business models and integrate new technologies not just for efficiency, but for purpose. It demands we rethink the entire value chain, from production to the end of a product's life.Today, we're going to talk about the intersection of artificial intelligence, sustainability, and retail. We'll explore how technology isn't just a tool for optimization, but a catalyst for building entirely new, purpose-driven business models that challenge the status quo of consumerism.To help me discuss this topic, I'd like to welcome, Anya Cheng, CEO at Taelor. About Anya ChengAnya Cheng is the Founder & CEO of Taelor, an AI-powered men's clothing subscription service promoting sustainable fashion. A Silicon Valley entrepreneur, she has been recognized among "Girls in Tech 40 Under 40" for her expertise in tech product management and marketing. Anya played a pivotal role in launching Facebook and Instagram Shopping at Meta, led new business expansion at eBay, and helped grow McDonald's global food delivery. She also shaped Target's mobile commerce and has led teams in AI, product management, UX, and marketing across Fortune 500 companies. Her work has earned 20+ prestigious awards, including the Webby Award for Best Shopping App, Best Mobile App Award, and The Communicator Award. A best-selling author, adjunct professor, and two-time TED speaker, she lectures at Northwestern University and 500 Global and is a sought-after keynote speaker. Anya's award-winning venture, Taelor, won first place at Draper University's Startup Competition and was named a Startup to Watch by Bay Area Inno. She holds a Master's in Integrated Marketing Communications from Northwestern University and an MBA from the University of Chicago Booth School of Business.Anya Cheng on LinkedIn: https://www.linkedin.com/in/anyacheng/---------- Resources ---------- Taelor: https://www.taelor.aiThe Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://aglbrnd.co/r/2868abd8085a9703We're proud to be a media partner for #MAICON26 - Oct. 13-15! Learn how AI can power your marketing and business and help you grow smarter. Use code AGILE150 to save! https://aglbrnd.co/r/7fe458ced0f04658Reach your customers with Reddit. Spend $500 in ad spend, get $500 back in ad credit! Learn more: https://advertalize.com/r/491818c79fb1873fChaser is the only Slack-native project management platform that helps teams turn messages into tracked tasks, automate follow-ups, and maintain team-wide visibility, without adopting another tool. Now integrated with Claude and other GenAI tools. Learn more at trychaser.com and use code AGILEBRAND for a 3-month free trial (normal trial is 14 days).The most influential minds in software, AI, and engineering leadership will be at WeAreDevelopers World Congress North America, September 23-25 in San Jose. Learn more: https://aglbrnd.co/r/60a7299222a7bcf1Start building your own apps with Replit and get $20 off. Learn more: https://aglbrnd.co/r/93531742a7625a20Enjoyed the show? Tell us more at and give us a rating so others can find the show at: https://aglbrnd.co/r/faaed112fc9887f3Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: https://aglbrnd.co/r/35ded3ccfb6716baCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.comThe Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company Hosted on Acast. See acast.com/privacy for more information.

Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Money Making Conversations Master Class with Rushion McDonald is America's premier entrepreneurship, business leadership, financial literacy, and wealth-building podcast featuring successful entrepreneurs, executives, founders, celebrities, and industry experts sharing actionable insights for professional and financial success. Business Podcast Entrepreneurship Small Business Business Growth Financial Literacy Wealth Building Black Entrepreneurs Minority Business Leadership Executive Leadership Business Funding Marketing Strategies Personal Development Startup Advice Sales Training CEO Interviews Founder Stories Professional Development Economic Empowerment Business Success Networking Brand Building Innovation How to start a business Small business funding Entrepreneur success stories Business leadership podcast Wealth building strategies Black entrepreneur podcast Minority business development Marketing for small businesses Business growth strategies Startup funding opportunities Executive leadership training Financial literacy education Success mindset podcast Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Everett Swain.

Are you tired of the relentless AI marketing hype but know you can't afford to ignore it? Discover how to stop blindly applying AI and start mastering it as a malleable "design material" to build impactful, user-centered services .It's time to stop buying into the stories big tech companies want us to believe about what Artificial Intelligence can and can't do. Slapping AI mindlessly onto every project doesn't just create bad user experiences. It can do real harm.To set a better example for the service design industry, host Marc sits down with Ovetta Sampson. With a resume that includes Director of UX for Machine Learning at Google and AI design leadership roles at Microsoft and Capital One, Ovetta doesn't just talk theory. She runs Right AI to help teams adopt AI safely, responsibly, and effectively. In this conversation, she breaks down exactly how to understand AI's unique properties, navigate its limitations, and mold it into exactly what you need.In This Episode:The Design Material Mindset: How to stop fearing AI and start shaping it like clay to get the outcomes you want.Steering the Machine: Practical techniques for guiding generic LLMs to reliably produce high-quality, specific results.The Context Crisis: Why understanding your users' real-world context is about to become more important than ever before.When "Wrong" Becomes Dangerous: Why AI will always make mistakes, and how to identify the exact point where those errors become harmful.Breaking the Model: Why you need to start "messing around" and intentionally trying to break AI tools to build your own grounded mastery.If you found value in this episode, please hit the Subscribe button on YouTube, Spotify, or Apple Podcasts so you never miss a conversation. Share this episode with a fellow service designer who needs to hear this!As always, enjoy, and keep making a positive impact!~ Marc[ 1. GUIDE ]00:00 Intro and AI Sycophancy 03:15 Mindless vs. Mindful AI 06:45 Dangers of Automation Bias 10:00 The Humanizing Trap 17:45 Design as a Verb 24:30 Emergent AI Behavior 27:30 AI Confidence Levels 36:15 The Illusion of AI Memory 39:00 Principle 1 of Mindful AI 43:30 Library vs. Netflix Analogy 49:45 Designing for Failure 55:15 The Socio-Technical Challenge 01:01:45 Advice for Designers 01:06:00 Learning Resources 01:09:00 Redefining the Designer 01:11:15 Outro [ 2. LINKS ]LinkedIn - https://www.linkedin.com/in/ovettasampson/ MindfulAI Masterclass: https://www.ovetta-sampson.com/mindfulai-masterclass[ 3. CIRCLE ]Join our private community for in-house service design professionals. ⁠https://servicedesignshow.com/circle [4. FIND THE SHOW ON]Youtube ~ https://go.servicedesignshow.com/259-youtube Spotify ~ https://go.servicedesignshow.com/259-spotify Apple ~ https://go.servicedesignshow.com/259-apple Snipd ~ https://go.servicedesignshow.com/259-snipd

In our current environment of rapidly changing customer needs and expectations, evolving technologies, and unpredictable market swings, the best ideas rarely come from a single leader. Instead, as attendees of the 2026 ITX Product + Design Conference learned, they emerge when product teams collaborate, challenge assumptions, and adapt together. In this episode of Product Momentum, Rachel Kohman, Ed.D. joined Sean and Dan for an in-person chat, discussing why adaptive leadership helps organizations solve today’s toughest product and technology problems. Rachel, Assistant Dean of Entrepreneurship Education at Missouri S&T, draws from her experience developing future engineers, entrepreneurs, and leaders, to offer practical guidance for creating teams where everyone contributes to better decisions. Here's what we learned: Leadership Is Everyone’s Responsibility Adaptive leadership challenges the long-held assumption that the person with authority has all the answers. Today’s problems are too complex for any one individual to solve alone, Rachel says. Product managers, UX designers, engineers, and researchers each bring their own unique perspectives to deliver desired outcomes. Not surprisingly, she adds, organizational performance improves when leadership becomes a shared responsibility. “And that's what's so interesting with adaptive leadership; it actually starts to change the narrative. “It's like, ‘wait a second, the challenges we’re facing are too complex to have a single right solution.'” For product teams, the adaptive leadership mindset creates an environment where product team members contribute new ideas because they see opportunities – not because they've been directed to. Psychological Safety Drives Better Decision Making Echoing the sentiments of episode 78 guest Dr. Timothy Clark, Rachel says that too many good ideas remain trapped in hallway discussions or private chat messages, mostly because team members are hesitant to challenge authority. Psychological safety, what Dr. Clark refers to as the great enabler, requires people in positions of authority to model and reward everyday acts of vulnerability. Beginning with respectful communication (as opposed to public confrontation), team members should present their concerns early on with an eye toward improving the product instead of proving someone wrong. “It’s that curiosity,” Rachel continues, “it's asking those questions of others and being willing to not have all the answers yourself.” This approach is not without risk, but its benefits are every bit as real: teams surface issues sooner, discovery improves, and teams emerge with better decisions before costly mistakes reach customers. Take a Step Back To See the Whole System Adaptive leadership also requires “stepping away” from daily execution, Rachel says. She describes the practice as “going to the balcony” – intentionally creating distance to recognize broader patterns instead of reacting only to immediate tasks. Teams who cannot see a world beyond the sprint work, feature requests, tech debt, and deadlines fail to observe market trends, learn from adjacent teams, and become aware of changes across the organization. “If you don't take the opportunity to take a step back and pause the noise, you’re losing out on an opportunity to perceive the world around you.” Leadership Is Every Team Member's Responsibility Adaptive leadership is not just another management framework; it's a practical way of helping organizations respond to uncertainty. Grounded in psychological safety, product teams become more resilient when people feel comfortable sharing new ideas, questioning assumptions, and learning together. Rachel Kohman, in her own words: [03:35] Changing the narrative of leader as ‘only the person in authority.’ The term leader has actually been the noun synonymous with the person in the top spots, right? And so what’s interesting with adaptive leadership is that it actually starts to kind of change that narrative and say, ‘wait a second, the challenges we’re facing do not have like a single right solution.’ [04:38] Not for the risk-averse. It is a little bit risky for everyone; we’re asking people who are in a position of authority to become comfortable with ideas coming from others, and they actually need to be willing to listen. At the same time though, the people who aren’t in the position of authority have to be willing to step up and not just say, ‘I’ll do whatever the boss says.’ [09:53] Adaptive leadership can reduce our volume of work. I do think that as we start to integrate it into our work, it becomes part of that culture of everybody is bringing their perspective and  their expertise; it actually eases up on the amount of work that you have to do. [11:20] Entrepreneurship requires curiosity. I love when different schools of thought come together. So I don’t have to be an ardent follower of only one thing. So with entrepreneurship there’s also this idea of ‘where’s your curiosity?’ And with leadership I think it’s the same way. It’s that curiosity, it’s asking those questions of other people and being willing to not have all the answers yourself. [17:29] The adaptability of adaptive leadership. I have found ways to utilize it all across my life. I practice this in my home, in my work, with my friends, which I think is really cool. Yeah, my next book is actually how being a parent helps you be a better leader, not the other way around. It’s amazing! [18:13] The view from the balcony. Sometimes we need to step back a bit, away from the busy-ness and noise of the day-to-day tasks. For illustration: if you’ve ever seen a marching band, like on a football field, but you’re actually down on the field at the same level as the band. It can look just really busy and there’s a lot happening. But when you move way up to the top of the stands, suddenly you’re seeing what is evolving in these beautiful intricate movements. Gives you a whole different like vantage point, right? The post 193 / How Adaptive Leadership Helps Product Teams Navigate Complexity, with Rachel Kohman appeared first on ITX Corp..

Warning - this episode may make you want to take two weeks off of work to pursue a creative calling! This is exactly what Aileen Ju, a UX and graphic designer, did when she took a vacation from work to learn from the best as a student at the Madrid Flower School. Aileen talks all about the 10 day program, what she learned her favorite flowers and her plans for the future. Inspiring and sweet Aileen encourages us all to take our own creative sabbatical and see where that leads us. Follow Aileen on Instagram at @Aileenmakesstuff and reach out to her by direct message for the discount code for the school.For more info about Madrid Flower School or to sign up for their next session visit https://madridflowerschool.com/en/Support the show

El incendio de Ávila, el más grande de la historia reciente, ha mejorado en las últimas horas. Sin embargo, en Madrid el fuego avanza hacia Valdemaqueda, cerca del Pantano de San Juan, y en Castellón el incendio de Vall d'Uxó sigue sin estar controlado. En el plano político, el PP se distancia del Gobierno en materia de cambio climático, mientras el Ejecutivo aprueba hoy ayudas para los trabajadores afectados por los incendios.

El incendio de Ávila ha mejorado en las últimas horas, mientras, se ha anunciado que los vecinos evacuados de nueve pueblos de Toledo pueden regresar a sus casas. En Madrid, el fuego avanza hacia Valdemaqueda, cerca del Pantano de San Juan. Las llamas en Castellón, en Vall d'Uxó sigue sin poder controlarse. En el plano político, el PP se distancia del Gobierno en materia de cambio climático, mientras el Consejo de Ministros aprueba hoy ayudas para los trabajadores afectados por los incendios. De la Guerra en Oriente Próximo,  se respira la calma en Irán tras una noche más sin ataques, aunque Donald Trump ha advertido que no durará si no se alcanza un nuevo acuerdo con Teherán.

Par Régis BAUDOUIN Il y a encore peu de temps, l’expérience utilisateur (UX) reposait sur un dogme immuable. Concevoir des structures rigides, créer des arborescences de menus complexes et aligner des boutons cliquables restait la norme. L'utilisateur devait s'adapter à la logique de la machine, ce qui affectait l'interface. Dans un précédent article, nous expliquions comment l’intelligence artificielle nous faisait passer de la transaction (exécuter une commande) à l’intention (comprendre un besoin). Aujourd'hui, cette révolution intellectuelle trouve son prolongement visuel et pragmatique. L'interface graphique (GUI) abandonne son statut de maquette figée pour devenir vivante, adaptative et contextuelle. Bienvenue dans l'ère de l'UX liquide et de la générative UI. La fin du design figé Pendant des décennies, le processus de création numérique suivait un schéma linéaire : un designer dessinait une interface sur Figma, un développeur la codait, et 100 % des utilisateurs voyaient exactement le même écran. Principalement des zones de texte à lire ou à remplir et des zones de choix pour transactionner avec la machine. Avec la générative UI, ce modèle vol en éclats. L'interface n'est plus dessinée à l'avance : elle est compilée en temps réel par l'IA en fonction du besoin immédiat de l'utilisateur. En permanence l’IA analyse et réagit aux actions et habitudes de l’utilisateur. Le design de l’écran s’adapte en temps réel. [ Intention de l'utilisateur ] │ ▼ ( L'IA analyse le contexte ) │ ▼ [ Assemblage dynamique des composants UI ] (Carte 3D + Slider de budget + Carrousel) │ ▼ [ Interface éphémère dissoute après usage ] Pour offrir ce type de services, nous disposons de plusieurs solutions de design d’interface. Le concept de l’interface éphémère (Ephemeral UI) Imaginez une application de gestion financière. Au lieu de vous forcer à naviguer dans cinq sous-menus avant de trouver la fonction recherchée. Vous tapez ou énoncez votre projet directement par un prompt. Ainsi, L’IA génère instantanément un composant visuel sur mesure. De plus, ceci inclut un calculateur dynamique avec des jauges interactives, un graphique de projection et un bouton de simulation. Ainsi, une fois la décision prise, cet écran sur-mesure disparaît. L’interface ne surcharge plus l’esprit : elle apparaît, rend service, et s’efface. #Exemple Le “Zero UI” et le design prédictif La meilleure interface est parfois celle qu’on ne voit pas. Si le “Chat” (la simple boîte de texte) a été la première porte d’entrée de l’IA générative, il montre aujourd'hui ses limites d’ergonomie. Personne n’a envie de taper des kilomètres de texte pour régler une alarme ou filtrer une liste. C’est ici le domaine des agents intelligents. L'émergence du Zero UI ne signifie pas la disparition des écrans, mais leur invisibilité proactive. L’anticipation contextuelle : Grâce à l’analyse des données de votre smartphone ou de votre navigateur (géolocalisation, heure, habitudes, niveau de batterie), l’interface prédit l’action suivante. L’adaptation cognitive : Si vous utilisez une application de navigation en marchant rapidement dans la rue, l’IA agrandit automatiquement les zones de frappe et simplifie la densité d’information pour éviter les erreurs d’inattention. En fin de journée, elle ajuste les contrastes et réduit la charge visuelle pour limiter la fatigue oculaire. Le pilotage des agents : Le logiciels active les agents que vous avez défini en fonction de vos besoins du moment et de vos actions pour vous présenter directement les résultats sans passer par l’interface. Du simple Chat à l’espace conversationnel spatial Nous assistons à la métamorphose de la fenêtre de discussion. Les boîtes de dialogue linéaires cèdent la place à des cartes intelligentes manipulables. Carte mentale Lorsque vous interagissez avec un assistant moderne, celui-ci ne répond plus par un bloc de texte indigeste. Il génère des micro-widgets réactifs dans le fil de conversation : Vous cherchez un vol ? Un composant interactif vous permet de modifier les dates via un calendrier visuel sans quitter le fil. Vous comparez des lignes de code ou des données ? L’IA déploie un tableau dynamique filtrable avec des glisser-déposer. L'UI devient un dialogue hybride où la voix et le texte pilotent des objets graphiques vivants. Comment les développeurs construisent l’UX de demain Pour les équipes produit, l’intégration de l’IA dans l’UX ne relève plus du gadget, mais d’une transformation profonde des méthodes de développement. La prise en compte des habitudes de consommation est majeure. Les applications issues des la vie quotidienne avec un smartphone à la main ont modifié notre rapport à l’interface. Moins d’information, plus pertinentes, des notifications et surtout de la simplicité. Le “Code-to-UI” à la volée Les grands modèles de langage ne se contentent plus de sortir du texte brut ou du JSON. Ils génèrent désormais directement des structures de composants UI (React, Web Components, styles Tailwind) interprétées instantanément par le moteur de rendu du navigateur. C’est bien plus dynamique et bien plus agréable à l'œil. Le respect strict du Design System Une peur légitime des designers était de voir l’IA générer une interface chaotiques et hors-charte. Aujourd’hui, les architectures GenUI s’appuient sur les Design Tokens de l’entreprise. L’IA n’invente pas un bouton : elle pioche dans la bibliothèque de composants officiels de la marque (couleurs, typographies, arrondis) et les assemble de manière cohérente. Pour conserver une cohérence visuelle, c’est très important que le design système soit maintenu et utilisé systématiquement. +-----------------------------------------------------------------------+ | ARCHITECTURE GENUI EN COULISSES | | | | [ LLM ] ──> Analyse l'intention | | │ | | ├──> Pioche dans [ Design System Token (Boutons, Cartes, Grilles) ] | | │ | | └──> Compile [ Composant React / Tailwind éphémère ] ──> Écran | +-----------------------------------------------------------------------+ Ce que cela change pour vous Pour les utilisateurs, cette mutation annonce la fin de la courbe d’apprentissage des logiciels. Nous n’aurons plus à apprendre à utiliser un outil complexe, comme un logiciel de paie ou un CRM. Ainsi, c’est l’outil qui générera une interface adaptée à notre niveau d’utilisation. L’expérience utilisateur passe d’une logique d’apprentissage à une logique d’adaptation mutuelle. Et vous, qu’en pensez-vous ? Préférerez-vous demain une application unique “liquide” qui transforme son interface selon vos besoins à la volée, ou restez-vous attaché aux applications traditionnelles aux menus fixes et familiers ? Exprimez-vous en commentaire et n’oubliez pas de vous abonner à XY Magazine pour ne rien manquer des révolutions technologiques qui façonnent notre quotidien ! The post Comment l'IA façonne l'interface “liquide” et l'UX de demain first appeared on XY Magazine.

What does it take to build products that work for 150 million people in one of the most regulated industries in the world? In this episode of the CPO Rising Series hosted by Products That Count Resident CPO Jay Patel, Optum Fmr Chief Consumer Officer Rita Khan will be speaking on how product leadership is transforming healthcare at scale. Rita shares why understanding the full stakeholder ecosystem matters more than quick UX wins, how she frames investment portfolios to earn executive trust quarter by quarter, and why she only hires "shapers" who refuse to accept the industry's constraints as excuses for bad experiences.

DIYing your UX job search feels productive right up until you realize you've been doing it for six months, twelve months, or longer with nothing to show for it. If you've been telling yourself you're one tip away from finally landing interviews, this episode is worth sitting with.The core question Sarah asks is simple and a little uncomfortable: if you gave yourself three more months on your ux job search, your portfolio, or your resume, what would actually be different? Because more time doesn't automatically mean better results. More applications don't automatically mean more interviews. If you can't answer what you'd change, you're just planning to spend more hours doing the same thing that hasn't worked yet.Sarah backs this up with research from her own program, Career Strategy Lab. After analyzing over 1,700 responses from people who didn't join, the two most common reasons were not feeling ready, or wanting to keep trying the DIY approach first. But when she surveyed people after they did join, a pattern showed up just as clearly: regret over not joining sooner, and months lost to portfolios or ux job searches that stayed stuck.The episode also gets specific about the one thing Sarah says is genuinely hard to DIY, which isn't your resume or your portfolio. It's relationships and proximity to people who are actually hiring. She shares two real examples, Marcus and Heather, both laid off, both stuck after months of solo applying, and both hired only after they stopped going it alone.Topics Discussed✅ Why simply giving your job search "three more months" rarely changes your outcome unless your strategy actually changes✅ The specific question to ask yourself before committing to another few months of DIYing your portfolio or resume✅ What over 1,700 survey responses revealed about why job seekers hesitate to get outside help, and what those same people said after they finally did✅ The popular portfolio myth about needing three to five projects before you can apply, and why it can quietly cost you months✅ How one person got hired with only one project in her portfolio, and was found on LinkedIn without even applying✅ Why relationships and proximity to people hiring are the hardest thing to build alone, no matter how much networking you do on LinkedIn✅ How a referral from someone he knew got Marcus hired as a user researcher after six months of rejections and ghosting✅ How one person's post about her manager hiring a contractor turned into a job for someone else, which then led to five more people getting hired at that same company✅ Why being part of a smaller, closer network can make you more visible than posting into the endless scroll of LinkedInLinks & Resources

We would love to hear your feedback!We bounce from the messy reality of delivery routes to the bigger question of where gig work is headed as automation, app redesigns, and corporate consolidation keep shifting the ground under drivers. We break down what matters for safety, earnings, and basic respect, from self-driving controversies to how people treat workers in the wild. • Amazon Flex route volatility and why it can feel like gambling • Grubhub's new start-stop button and why small UX changes matter • Walmart Spark updates including tip visibility and readability concerns • Uber passenger video alleging a Tesla driver slept on full self-driving • Trust and liability questions around self-driving in rideshare • Video chat vehicle inspections and what they do and do not verify • Uber's potential Delivery Hero acquisition and what consolidation means • Porta potty confrontation video and why filming workers backfires • Boston Dynamics robot dog delivery demo and practical flaws • Curri building a driver pool and the trade-off between flexibility and commitment • Waymo crash-rate headlines, benchmarking problems, and what “safer” means • DoorDash tipping culture jokes and the “tip you on the app” reality • Racist customer message story and donating the tip as a responseSupport the showEverything Gig Economy Podcast Related: https://gigeconomyshow.com/Download the Audio Podcast: https://thegigeconomypodcast.buzzsprout.com Love the show? You now have the opportunity to support the show with some great rewards by becoming a Patron. Tier #2 we offer free merch, an Extra in-depth podcast per month, and an NSFW pre-show https://www.patreon.com/thegigeconpodcastOctopus is a mobile entertainment tablet for your riders. Earn 100.00 per month for having the tablet in your car! No cost for the driver!https://playoctopus.page.link/HD2FBKJzFqRR35YE9 Your car stinks, use this! https://bit.ly/Driftsents The Gig Economy Podcast Group Download Telegram 1st, then click on the link to join. https://t.me/joinchat/R42wUR2QGhCi2gBDTikTok: https://www.tiktok.com/@gigeconomypodcast?Subscribe on Youtube https://www.youtube.com/c...

Episode web page: https://bit.ly/4fsY5jb Episode summary What does it really mean for UX research to have "a seat at the table"? According to Paul Humphrey, head of UX Research Practice at Next, it has less to do with presenting to executives and more to do with helping the people making product decisions achieve measurable business outcomes. In this episode of Insights Unlocked, host Amrit Bhachu sits down with Paul to discuss how he transformed UX research at Next from a reactive support function into a strategic driver of product and e-commerce decisions. Paul shares how empowering designers to conduct their own research, aligning studies with business metrics, and building relationships with stakeholders helped the team dramatically increase research adoption while demonstrating clear business impact. The conversation explores what it takes to prove the value of UX research, including a case study that contributed to reducing call center training and handling times, resulting in an estimated £2.75 million in savings. Paul also explains why researchers need to speak the language of the business—not just the language of usability—and why understanding stakeholder goals is often more important than delivering another research report. Finally, Paul and Amrit discuss the growing role of AI in UX research. Paul shares how Next is using AI to accelerate workflows while maintaining rigorous validation and quality standards, why researchers should embrace experimentation, and how curiosity remains the most valuable skill in an AI-powered future. You'll learn: What "having a seat at the table" actually means for UX researchers How to align UX research with business goals and stakeholder metrics Ways to demonstrate the business impact and ROI of UX research Why empowering designers to conduct research helps research scale How to build stronger partnerships with product and business leaders Lessons from Next's transformation from reactive to strategic research Practical approaches to measuring research success with business outcomes How AI is accelerating UX research while preserving quality and trust Why curiosity and adaptability are essential skills for the future of UX research Resources & links Paul Humphrey on LinkedIn (https://www.linkedin.com/in/paul-humphrey-7865a570/) Next (https://www.next.co.uk/) Amrit Bhachu on LinkedIn (https://www.linkedin.com/in/amritsbhachu/) Nathan Isaacs on LinkedIn (https://www.linkedin.com/in/nathanisaacs/) Learn more about Insights Unlocked (https://www.usertesting.com/podcast)

On this episode, I speak to Pavel Samsonov, Principal UX Designer at Justworks and author of The Product Picnic newsletter. Pavel has spent his career working across UX, service design and product management, including roles at Amazon and Bloomberg, helping organisations design better products by understanding the systems, processes and people behind them. We explore why great products start with better problem definition, how organisational silos undermine customer experience, why AI is making it easier to build the wrong things faster, and why genuine user understanding remains a uniquely human advantage. Episode Highlights Design for understanding, not simplicity - Complex B2B products don't need to hide complexity; they need to present it in a way that users can understand, navigate and act upon confidently. Customer journeys don't follow organisational charts - Teams optimise their own domains, but customers experience the whole service. The biggest opportunities often lie in fixing the gaps between teams rather than improving individual features. Problem design matters more than solution design - Before discussing features or interfaces, ask whether you're solving the right problem, why it exists, and whether it's important enough for customers to actually care. Actionable beats visible - Dashboards, analytics and metrics only create value when they help someone make a better decision. Data without action is little more than decoration. Optimising your work can create someone else's workload - Shipping work isn't the same as completing work. Teams should think about who consumes their outputs and whether they're genuinely fit for purpose. AI accelerates production, not learning - AI makes it dramatically faster to generate prototypes and features, but it doesn't shorten the time required to validate ideas, learn from customers or understand real-world usage. High-fidelity prototypes can create false confidence - Just because AI can generate something that looks finished doesn't mean the difficult work of alignment, prioritisation, research and iteration has been done. Synthetic users aren't a substitute for real customers - Large language models can reproduce existing knowledge but can't uncover the tacit insights, unmet needs and market opportunities that come from talking to real people. Good product decisions require shared language - Cross-functional collaboration improves when teams focus on the decisions they're trying to make rather than debating ambiguous labels like "prototype", "MVP" or "research". Ask better questions before building faster - AI has made building dramatically cheaper, increasing the importance of asking why something should exist in the first place. Better problem framing remains one of the highest-leverage skills in product development. Connect with Pavel Newsletter: https://productpicnic.beehiiv.com/ LinkedIn: https://www.linkedin.com/in/pavel-samsonov-44ba2833/

Tom Fox and Ronnie Feldman host Caveni Wong on Creativity and Compliance to discuss how change management principles align with ethics and compliance by focusing on influencing behavior rather than prioritizing “defensibility” alone. Wong describes her 20-year compliance career across consulting, service providers, and in-house roles, plus change management work at Ernst & Young and IBM. The group emphasizes stakeholder involvement, relationship-building, and user experience (UX) across the full risk management lifecycle, arguing that engaging, creative, and appropriately short training and communication improve attention, retention, approachability, and trust. Wong shares examples like creative visuals, World Cup goalie analogies, and “two truths and a lie” during M&A integration to humanize compliance and build credibility with leaders. They discuss measuring effectiveness via evaluations, recall questions, engagement, increased speak-ups, and more HR/compliance inquiries, concluding that compliance success depends on not forgetting people. Key highlights: Compliance Meets Change Beyond Training to Risk Human Connection at Work Creative Training Examples User Experience Focus Measuring Real Impact Resources: Ronnie Ronnie Feldman (LinkedIn) Learnings & Entertainments (LinkedIn)  Ronnie Feldman (Twitter) Learnings & Entertainments (Website) Compliance Confessions – inspired by “Mean Tweets,” these 90-second commercials address misconceptions and excuses to promote a speak-up culture and the E&C team as positive and helpful. E&C Training Jams – a soulful singer banters with ethics & compliance, explaining policies, sharing examples, and debunking excuses.  Tales from the Hotline – Real, speak-up-themed stories about workplace behavior gone wrong. Workplace Tonight Show! – E&C meets SNL Weekend Update explaining corporate risk topics and why employees should care. 60-Second Communication & Awareness Shorts – A variety of short, customizable, music and multimedia, quick-hitter “commercials” promoting integrity, compliance, speaking up, and the E&C team as helpful advisors and coaches. Custom Live & Digital Programing – Custom creative programming that balances the seriousness of the subject matter with a more engaging delivery. After all, you can't bore people into learning. Caveni Wong On LinkedIn Principle Compliance Tom Instagram Facebook YouTube Twitter LinkedIn Creativity and Compliance is a multiple podcast award-winning show and was recently honored as one of the Top 35 Podcasts on Creativity by Feedspot. Learn more about your ad choices. Visit megaphone.fm/adchoices

See more: https://thinkfuture.comConnect with Esty https://estyzilberman.substack.com ---What if the biggest obstacle in your life isn't your circumstances—but the story your brain has been telling you for years?In this episode of thinkfuture, host Chris Kalaboukis speaks with Esty Zilberman—former crime investigator, neuroscience and philosophy graduate, UX designer, and founder of Build It Real—about the invisible mental stories that shape our decisions, habits, identities, and futures.Esty introduces the concept of "Trap Narratives": unconscious stories your brain creates to protect you, but which can eventually become the very thing holding you back.Drawing on her background in criminal investigation, neuroscience, philosophy, and human behavior, Esty explains how asking better questions can uncover the hidden beliefs driving everything from addiction and procrastination to career choices and self-worth.We explore:- What "Trap Narratives" are and how they form- Why childhood experiences often shape adult behavior- The neuroscience behind habits, beliefs, and identity- Why awareness alone isn't enough—you must experiment with - change- How storytelling shapes the way our brains understand reality- Why philosophy may become one of the most valuable disciplines in the AI era- Esty's journey from crime investigator to entrepreneur- How AI could free us from digital busywork and reconnect us with the real world- Why the future may be more human—not less—because of AIOne of the most fascinating ideas in the conversation is that AI may eventually consume much of our digital work, allowing humans to spend more time creating, connecting, learning, and living in the physical world.Rather than replacing humanity, AI could become the catalyst that brings us back to it.If you're interested in psychology, neuroscience, philosophy, AI, personal growth, behavior change, or the future of humanity, this conversation offers a refreshing perspective on how we rewrite the stories that define our lives.

I'm talking to Bhaskar Sunkara, CEO of bicycle.AI, which provides an AI analyst product designed to monitor revenue-critical KPIs, investigate the business and technical drivers behind KPI changes, and take a “governed next step.” Bhaskar explains why analytics products often fail when they overwhelm users with telemetry instead of focusing on the signals that matter. Drawing from his experience as founding CTO of AppDynamics, he shares how his team moved from low-level technical monitoring to business transactions like logins, checkouts, and bookings. The key lesson? Start with the right metric at the right level of granularity, then use deeper technical analysis to explain why something changed.   Bhaskar also breaks down how bicycle.AI serves multiple audiences inside an enterprise. Business leaders want measurable outcomes, KPI owners need answers about what changed and what to do next, and data teams require trust, governance, and traceability. He explains how, in order to support these different users, Bicycle separates product experience into four core surfaces: pull features like dashboards and chat, and push features like alerts and data stories. Alerts further help operational users respond quickly to KPI changes and data stories provide executives with strategic narratives around trends, causes, and business impact. During our chat, Bhaskar also draws a line most AI products blur: be explicit about which findings are deterministic and which are only a theory. He connects this directly to my CED framework, separating the conclusion from the evidence from the underlying data, and argues that how much you automate should be governed by one question: how costly is being wrong?   I also probed Bhaskar about their moat. He's learned that enterprise adoption requires winning over both executives who care about revenue impact and analytics teams that need confidence in the system's recommendations. Bhaskar also explains why their long-term advantage comes from the DEAL framework: Detect, Explain, Act, and Learn. By continuously incorporating validated decisions, business context, and customer-specific knowledge, the platform becomes more useful over time. We finish up with his advice for fellow analytical AI product founders, including why AI makes user experience more important, not less: it is the connection between agents, decisions, humans, and accountability.   Highlights / Skip to: Making the invisible feel urgent enough for customers to buy products (2:41) How to avoid creating the ‘metrics toilet' when the system can do so much (6:56) Designing for the end-user versus the buyer, especially during the POC phase (12:20) Thinking about the product's design in a way that ensures Bicycle's business value is obvious (15:38) How bicycle.AI's “push” and “pull” features help stakeholders see value (20:54) Getting their first 20 customers (25:19) What Bhaskar got wrong: over-rotating on the business buyer vs. the analytics team (32:23) The homework a build-anything horizontal platform imposes on customers (and Bicycle's vertical antidote) (34:30) Bicycle.AI's moat: compounding institutional knowledge (36:08) DEAL: Detect, Explain, Act, and Learn (40:46) How they designed the UX to reduce time-to-value during onboarding/setup (44:51) Bhaskar Sunkara's advice for other analytical AI founders (and why AI makes UX even more important to address) (47:47) Links bicycle.ai  Bhaskar Sunkara's LinkedIn  My CED framework for advanced analytics products that Bhaskar references in this episode

Today for "Rails Report #3":-- Stablecoins win where crypto UX loses, because they solve a problem users actually care about: moving value without making them think about the machinery underneath. That sounds simple, but it is the core issue.A lot of crypto products have been built around interesting technology first, and usable experience second... The result is often a system that works for experts, but still feels awkward for everyone else.Stablecoins are different. They are useful because they sit closer to the behavior people already understand. They can feel like money, move like money, and settle faster than traditional rails, without asking the user to become a crypto native. That matters because most users do not want to manage wallets, seed phrases, chains, bridges, gas, or technical jargon. They want speed, clarity, and confidence.If a product creates too much cognitive load, the underlying innovation does not matter. The user leaves before they ever benefit from it. Stablecoins succeed because they reduce that load. They make payments easier to reason about. They make transfers more predictable. They make cross-border movement cleaner. And they can be embedded into products in a way that feels operational rather than ideological.That is where crypto UX often loses. Not in the technology, but in the interface. Not in the ambition, but in the translation from protocol to product. The best stablecoin experiences do not advertise themselves as crypto. They behave like better financial infrastructure. They hide complexity, shorten the path to completion, and let users focus on the outcome instead of the mechanism. And that is the deeper lesson.In finance, the winning product is rarely the one with the most sophisticated back end. It is the one that turns that sophistication into something people can actually trust, use, and repeat. Stablecoins win where crypto UX loses because they make value movement feel normal. And in consumer products, normal is powerful.-- The podcasts are authored, edited and produced by Raph Grieco (⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠raphael-grieco.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠olivecapital.vc⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠).

Landing a Director level UX role doesn't happen by accident, and neither does becoming the person on the other side of the hiring table a few months later. Natalie Kurz did both. She spent six months on a UX job search after a layoff, landed a Director of Experience Design and Content role at NextGen Health, and within months found herself reviewing over 600 applications for her own open positions.Natalie spent 25 years in UX, most recently as a people manager, before being laid off last May. She joined Career Strategy Lab during that UX job search, and the shift she describes isn't really about tactics. She stopped using the "spray and pray" method long enough to get clear on what she actually wanted in her next UX role. She let her LinkedIn profile, UX network, and a background she almost left off her resume, do some of the work for her.What makes this episode different is that Natalie is now the one hiring for UX roles. A few months into her new position, she's already brought on multiple UX designers, including someone from Career Strategy Lab. Natalie now experiences the exact hiring process she was on the other side of not long ago. So this conversation moves between her UX job search story and what she now looks for as a UX hiring manager, which gives listeners a rare before-and-after view of the same process.If you're currently employed in a UX role and feel like your resume, portfolio, or LinkedIn presence isn't ready to go if an opportunity showed up tomorrow, this episode is worth sitting with.Topics Discussed✅ How a recruiter found Natalie and reached out about a completely unrelated UX role, purely because of how her LinkedIn profile came across✅ Why she eventually stopped applying to every job with "UX" in the title, and what she focused on instead✅ How a cold, polite message to a lead UX designer on a team she wanted to join turned into a warm handoff before she ever talked to a recruiter✅ The background she almost left off her resume entirely, and why it ended up being a key reason she got hired✅ What it was actually like reviewing over 600 UX applications as a hiring manager, and what made a resume or portfolio stand out in the first three to five seconds✅ The line she now tells every UX applicant about generic resume bullet points, and why it matters more than people think✅ Why she doesn't see contract roles, career gaps, or career changes as red flags in a UX resume, even now that she's the one hiring✅ How she uses AI to check her own UX hiring decisions for bias, rather than to write applications✅ Why she believes she'd be far more prepared for her next UX job search than she was for her last one, and what she does now to stay that wayLinks & Resources

Andre Cronje breaks down why he believes decentralization is dead as a design goal, and unpacks how Flying Tulip is rebuilding DeFi composability. He also explains the security-versus-UX tradeoffs behind circuit breakers, upgradable contracts, and Flying Tulip USD's delta-neutral staking design.Andre Cronje is the Founder of Flying Tulip and a veteran DeFi builder known for creating Yearn Finance, Sonic, and several other foundational protocols in decentralized finance.The Rollup is where the leaders of digital assets and finance converge. Live from the financial capital of the world.00:00 Intro05:58 Security Versus UX Tradeoffs11:05 Decentralization Is Dead17:28 Curated Vaults Hide Real Risk21:00 Flying Tulip's Core Thesis23:05 Rebuilding DeFi Composability30:02 RFQ-Based Liquidations Explained33:20 Why Equity Margin Accounts40:29 Permissionless Single Asset Pools43:31 Origin Of Flying Tulip USD46:19 Delta Neutral Staking YieldGuest Socials:Andre Cronje X: https://x.com/AndreCronjeTechFlying Tulip X: https://x.com/flyingtulip_Flying Tulip Website: https://x.com/flyingtulip_Partners: Better than Banks. Transparent capital efficiency earning the highest yields in DeFi. Learn more here: https://infinifi.xyz/---1inch - Simple experience. Smart execution. Trading built to scale. It's time to bring the world onchain. https://1inch.com/---Dinari - Over 230 1:1 backed tokenized stocks, ETFs & more with dividends. US-based SEC transfer agent. Available on 5+ chains & via API. https://dinari.com/---Relay is the fastest and most reliable way to swap any token on any chain. Learn more here: https://relay.link/bridge---Zama is an open source cryptography company that builds state-of-the-art Fully Homomorphic Encryption (FHE) solutions for blockchain.Learn more here: https://www.zama.org/---Trezor is the creator of the first-ever hardware wallet. Securing crypto for 2M+ users worldwide. 100% open source. Learn more here: https://affil.trezor.io/aff_c?offer_i...---

Faris Aziz joins PodRocket to unpack the front-end "dark arts" behind building resilient dashboards under API rate limits and bloated payloads. He walks through front-end caching strategies, why a backend for frontend pattern using Next.js API routes as a proxy solved a 13-second load time, and how TanStack Query resilience patterns hold up differently at fintech scale versus Smallpdf's tens of millions of users. They also dig into defining a retryable error to avoid runaway infrastructure costs. Links Website: https://www.faziz-dev.com/ Bluesky: https://bsky.app/profile/farisaziz.com Github: https://github.com/farisaziz12 LinkedIn: https://www.linkedin.com/in/farisaziz12 X: https://x.com/farisaziz12 Resources Caching, Payloads, and Other Dark Arts: Optimizing UX in Suboptimal Conditions: https://www.faziz-dev.com/talks/caching-payloads-and-other-dark-arts-optimizing-ux-in-suboptimal-conditions 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 elizabeth.becz@logrocket.com, or tweet at us at PodRocketPod. Check out our newsletter! https://blog.logrocket.com/the-replay-newsletter/ Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form, 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. Chapters

A bi-weekly news show informing you on the latest in Bitcoin, privacy and open source tech hosted by Ungovernables, Max and Q. AOBEnvoy 2.3.0Full 2.3.0 out of beta: redesigned Send flow with inter-account transfers, message signing, Address Explorer, sub-satoshi fee rates, QR-density adjustment for Passport signing.Passport Prime 1.3.0-betaVault imports, BIP85 passwords, mass 2FA imports, universal QR scanner and loads of bug fixesVisual improvements to the docs siteApp showcase is now liveNEWSEU "Chat Control" — scanning derogation survives Parliament, permanent client-side-scanning law stalls again - TFTC: EU Chat Control, private message scanning, and Bitcoin's open protocols / Patrick Breyer: Chat ControlRadar Chat launches: a Signal fork with self-custodial Lightning payments built in - Decrypt: Radar Chat wants to make sending Bitcoin as easy as firing off a text / Atlas21Bull Bitcoin sues the French Finance Ministry over DAC8/CARF crypto surveillance reporting - The Rage: French Finance Ministry sued over global surveillance databaseMiCA deadline forces a self-custody exodus: ~70% of departing Binance EU users chose self-custody over a licensed exchange - Blockonomi: Binance reveals 70% of EU users chose self-custody after MiCA / CoinDesk: Binance to stop EU services after failing to secure MiCA licenceCLARITY Act developer safe-harbor (BRCA / Section 604) goes to the wire as Wyden fights to keep it intact - TFTC: Wyden, CLARITY Act, Section 604 developer safe harbor / Coin Center: The BRCA survived CLARITY's markup, do not give it up nowBIP-110 data-filtering soft fork heads for its deadline with miner signaling near zero - CoinDesk: Bitcoin's BIP-110 fork deadline nears with miner support at zero / Bitcoin Optech #412RELEASESBitcoin core / protocolBitcoin Core 30.3 - 2026-07-10Point release on the current 30.x line. Grab binaries from bitcoincore.org (deterministic + signed), not GitHub attachments.Bitcoin Core 29.4 - 2026-07-10Maintenance release keeping the older stable branch patched for sovereign self-hosters.Hardware / signingSeedSigner 0.8.7 "Summer of SeedSigner" - 2026-07-0880 PRs from 20 contributors: localization to 22 languages (first RTL language, Persian), BBQr PSBT decoding, and a big codebase professionalization pass. Airgapped DIY signing for a much wider audience.BitBox02 Firmware 9.26.4 - 2026-07-09Small fix following the 9.26.3 security batch (out-of-bounds write fix, silent-payments and EIP-712 validation hardening). Paired with BitBoxApp 4.51.3.LightningCore Lightning 26.06.3 - 2026-07-09Latest in-window CLN (a coincurve dep bump in pyln-proto superseded 26.06.2 from 06-30).lnd 0.20.2-beta - 2026-07-10Maintenance release on the 0.20 branch, no migrations, built with go1.25.5. Follows the zero-timestamp DoS fix discussed last episode.LNbits 1.5.5 - 2026-07-08Revolut + Square payment options, better payment reliability across backends, faster theming, cached rates, improved CSV exports and OIDC/SSO fixes. (A same-day 1.5.6 followed.)Zeus 13.1.2 - 2026-07-02Bug fixes and UX polish: pasteable amount input, copy Lightning address, UTXO-picker label and LND address-generation fixes.EcashCashu TS 4.7.0 - 2026-07-09LTS release for the JS/TS Cashu library: NUT-29 batch quote checks plus fixes for malformed tokens and NUT-28 locking slots. Foundation layer for ecash wallets/mints.Cashu CDK 0.17.2 - 2026-06-29Exposes NUT-27 mint backup through the wallet bindings; Android 16KB page-size and Swift compatibility. (A 0.17.3 with NIP-47/NWC support shipped 07-13.)On-chain privacy / coinjoinAshigaru Desktop 1.1.0 - 2026-07-11Major redesign: dedicated Whirlpool mixing experience, private Electrum server discovery over Tor, card-based UTXO views with PayNym support, and a Whirlpool Stats tool. Post-Samourai sovereign coinjoin keeps shipping (this is a 1.0 -> 1.1 jump from last episode's launch).Wasabi Wallet 2.8.0 - 2026-06-27 [borderline, grace window]P2P sync of compact block filters (drops the central-server dependency), pay-in-coinjoin, sub-1 sat/vByte fees, payment batching, and arm64 Linux/Tails/Whonix support.P2P / no-KYCBull Bitcoin 6.12.8 - 2026-07-11Coins (UTXO) view, Coldcard NFC support, BitBox02 Nova Bluetooth on iOS, sub-1 sat/vByte fees, and swap recovery via mnemonic. Self-custody + non-KYC buy/sell.Aqua Wallet 0.5.1 - 2026-07-07OpenCryptoPay QR compatibility, broader LNURL support, more reliable Lightning via direct Boltz broadcasting.Bisq 1.10.3 - 2026-07-06Security update: disables filter-provided BTC nodes, hardens deposit-tx checks, and requires message signatures from the expected trade peer.Mostro Mobile 1.3.0 - 2026-07-03Transport-protocol v2 migration and more African payment methods (KES, MZN, TZS, UGX, ZAR, ZMW). Nostr-native P2P Bitcoin trading, no KYC.BasicSwap DEX 0.17.0 - 2026-07-09Cross-chain atomic-swap DEX. (A 0.17.1 patch followed 07-12.)Arkade 0.9.13 - 2026-07-07Small indexer fix. Ark self-custodial off-chain scaling.Self-hosting / infraumbrelOS 1.7.4 - 2026-07-10Fixes connectivity where remote access over Tor and Tor-using apps could fail to connect.StartOS start-wrt 1.0.0 - 2026-07-11First stable release of StartWRT, Start9's OpenWrt-based router OS. Sovereign networking layer to pair with a self-hosted server.Nostrngit-cli 2.6.3 - 2026-07-10ngit init now gives actionable account-setup guidance. Git-over-Nostr tooling, directly relevant to the GitHub-exodus / censorship-resistant-code thread.EDUCATIONEvolving Casa's Defenses Against Social Engineering -Practical writeup on how attackers social-engineer Bitcoin holders and how to defend. Pairs directly with the Lopp voice item for a self-custody-security segment listeners can act on.Bitcoin Privacy Tools Compared: CoinJoin vs PayJoin vs Silent Payments -Clean side-by-side of the main on-chain privacy techniques. Good "where do I actually start" pointer, topical given the Ashigaru and Wasabi releases and the ongoing Silent Payments rollout (BIP 352 reached Complete and the secp256k1 module merged in June; Sparrow shipped SP receiving last fortnight).Cove Wallet tutorial (BTC Sessions) -BTC Sessions walkthrough of the Cove wallet. Useful hands-on onboarding content if you want a "new self-custodian" education beat, which pairs with the MiCA self-custody-exodus news item.TO DONATE TO ROMAN'S DEFENSE FUND: https://freeromanstorm.com/donateHELP GET SAMOURAI A PARDONSIGN THE PETITION ----> https://www.change.org/p/stand-up-for-freedom-pardon-the-innocent-coders-jailed-for-building-privacy-tools DONATE TO THE FAMILIES ----> https://www.givesendgo.com/billandkeonneSUPPORT ON SOCIAL MEDIA ---> https://billandkeonne.org/VALUE FOR VALUEThanks for listening you Ungovernable Misfits, we appreciate your continued support and hope you enjoy the shows.You can support this episode using your time, talent or treasure.TIME:- create fountain clips for the show- create a meetup- help boost the signal on social mediaTALENT:- create ungovernable misfit inspired art, animation or music- design or implement some software that can make the podcast better- use whatever talents you have to make a contribution to the show!TREASURE:- BOOST IT OR STREAM SATS on the Podcasting 2.0 apps @ https://podcastapps.com- DONATE via Monero @ https://xmrchat.com/ugmf- BUY SOME STICKERS @ https://www.ungovernablemisfits.com/shop/FOUNDATIONhttps://foundation.xyz/ungovernableFoundation builds Bitcoin-centric tools that empower you to reclaim your digital sovereignty.As a sovereign computing company, Foundation is the antithesis of today's tech conglomerates. Returning to cypherpunk principles, they build open source technology that “can't be evil”.Thank you Foundation Devices for sponsoring the show!Use code: Ungovernable for $10 off of your purchaseCAKE WALLEThttps://cakewallet.comCake Wallet is an open-source, non-custodial wallet available on Android, iOS, macOS, and Linux.Features:- Built-in Exchange: Swap easily between Bitcoin and Monero.- User-Friendly: Simple interface for all users.Monero Users:- Batch Transactions: Send multiple payments at once.- Faster Syncing: Optimized syncing via specified restore heights- Proxy Support: Enhance privacy with proxy node options.

Product teams often struggle to deliver meaningful outcomes. Why? Because they confuse activity with progress. Understanding that challenge is the focus of our chat with David Pereira, recorded in person at the 2026 ITX Product + Design Conference, in Rochester, NY. David is a product management coach, speaker, and author of Untrapping Product Teams: Simplify the Complexity of Creating Digital Products. He has spent that past 17 years helping organizations create more value by eliminating busy work. In his conference workshop and keynote, David drew from his work with product teams around the world, explaining how eliminating unnecessary work, validating assumptions early, and staying close to customers enable teams to make better decisions and build products that solve real problems. Eliminate Busy Work to Create More Value Many organizations unintentionally create systems that reward activity instead of outcomes, David argues. Excessive meetings, backlog maintenance, and decision making based on conjecture rather than evidence consume valuable time without moving products forward. Rather than accepting these practices as status quo, David believes that product leaders should ask whether these activities contribute to customer or business value. Set clear boundaries around focus time and make every meeting earn its place on the calendar, he adds. “Bullshit management is an art,” Davids says. “It's the art of doing things that create no value, but drain everyone's energy.” Build To Learn: Testing Assumptions Before Crafting Solutions David's central message in his day 1 conference workshop is that successful product teams learn before they build. Teams naturally become attached to their ideas, making it easy to seek evidence that confirms existing beliefs instead of challenging them. By identifying assumptions, prioritizing the most critical risks, and defining success criteria before running experiments, teams can quickly separate fact from opinion. AI can accelerate experiment design, but only when it supports disciplined learning – not when it replaces critical thinking. “You will build to learn, because you’ll learn from reality,” David continues. “If you don’t do that, you’re gonna make something that only works in fantasy.” Customer Reality Should Drive Every Product Decision In a return to timeless product principles, David reinforces the mantra that decisions should be grounded in real customer behavior rather than internal assumptions. Using examples drawn from his own work, David reveals customer friction that internal discussions had completely overlooked. For product managers and UX professionals alike, direct observation remains among the most effective ways to uncover opportunities that analytics and meetings often miss. “You need to go and check the users' reality,” David says. “Because if you limit your discovery to the clinical environment of your cozy office, you'll quickly learn that that is not how users work. You need to get out there to truly understand their reality.” [03:29] Bullshit management is the art of doing things that create no value, but drain your energy. The more bullshit you do, the less value you create. [04:47] [As a product manager,] your job is to simplify what others complicate. So many times we have meanings because it’s the default way of collaborating. So we need to step back and say, what on earth am I trying to achieve? [05:51] We all need time for focus. So I block my morning; nobody can reach out to me in the morning because it’s the time I’m going to do deep work. As for meetings, they need to have a few things: what is the objective? What is the context? And what is agenda? If the meeting invitation can’t answer those questions, I immediately reject. [09:56] In order to test our assumptions, we need to understand the following: If my assumption is proven false, is my idea still valid? If yes, you can ignore this assumption because your idea will still survive. But if the assumption is proven false, my idea is worthless and I start looking at things differently. [17:05] When [AI-driven] execution becomes cheap, where do you put your energy? Your energy goes to thinking, decision making. But thinking and decision making should be a collaborative exercise, not a siloed one. [20:49] What is NIHITO? NIHITO is ‘nothing important happens in the office.’ It’s an important lesson about how teams and organizations make product decisions. We need to get out of the office and into our users’ environment if we are ever to understand their reality. The post 192 / David Pereira: How Product Teams Can Deliver More Value By Doing Less Work appeared first on ITX Corp..

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss how to separate artificial intelligence speed from actual business value and what we value from humans in an age of AI. You will discover why productivity charts hide critical context that changes everything. You will learn how to spot the difference between quick output and solid results. You will master a simple framework for letting machines handle data while you keep full control over every choice. You will walk away with practical steps to scale your daily workload without sacrificing your unique perspective. 00:00 – Introduction 02:15 – The misleading productivity chart 05:40 – Decoding the midterm results 09:10 – When tests measure the wrong skills 13:25 – The seven ways to use AI properly 18:50 – Why humans must keep the steering wheel 23:40 – Practical tools for smarter workflows 28:15 – Fixing the education gap 32:00 – Call to action Press play to uncover how you can turn artificial intelligence into a reliable partner that amplifies your best work. Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-ai-in-academia-workforce.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn: In this week’s In Ear Insights, let’s talk about AI productivity and results-oriented mindsets. We talk a lot about AI productivity gains, and a lot of people are rightfully asking, “Where’s the beef?” Going back to the 1980s Wendy’s commercial. I want to show you a chart. Katie, I want to get your reaction to this chart on some AI productivity gains and whether you would consider this a success or not. So let me bring this chart up here. This is from Brown University. We have individual workers, we have their original productivity scores in the gray, their AI-enhanced scores where they’re using an AI tool and how they increased. And the green numbers represent the percent change. Now, without any other context, at a first glance, what do you make of this? Is this an AI success story? Katie Robbert: Not necessarily. Christopher S. Penn: Okay, tell me why. Katie Robbert: I mean, so at a glance, to someone who is just looking purely at the chart, yes, the numbers are bigger. You have a bunch of green in the middle. So the percent change is positive. But as someone who is skeptical, I say, where did you start? What was the baseline? What are the roles? I have more questions than answers. I can’t look at this and go, wow, yes. Okay. Because to me there’s so much missing context. Who are these people? Is it self-report? What is the period of time that there? Is it one task? Is it multiple tasks? Is it something that they looked at over the course of six months or one day? I don’t know. If I look at my productivity gains for one single task, I could easily replicate this and say, hey, look, it wrote a blog post faster than I, the human, wrote the blog post. So therefore productivity gains. But what I don’t know is the blog post any good? How much editing does it have to go through? Is it something that’s actually ever going to see the light of day? And that’s one blog post. That doesn’t mean that every single post is created that efficiently. AI can create things really quickly. It doesn’t mean they’re any good. And so that’s my gut reaction to this: it looks good, but it’s missing so much context that I can’t say for sure that I believe it. Christopher S. Penn: Okay, I can tell you for sure these are actual scores. They are actual gains or losses. If your employee number S22 is there, you got it. Your performance went down. Katie Robbert: Yeah, yikes. Christopher S. Penn: Yeah, you got to go. But, and these are real outcomes that matter. Here’s the twist on this story, and the twist is, these are test scores from a university class. The midterm. The professor said, something’s up. The orange scores of the midterm scores. So in the final, he prohibited it. He made the test in person. No assistance, no devices. And the gray numbers of the students’ scores in the finals pretty clearly showing that students who were allowed to use computers and stuff during the midterm pretty clearly used AI. And this story has been floating around the social media sphere. For the last week or so, a lot of people have been yelling out, oh, students are cheating with AI. This is terrible. It’s the end of education. And my take on it was, well, I think there’s a bit more nuance to that. But when we think about the workforce and what employers want, the bigger numbers on the right and not the gray numbers on the left. Now, with this new context, what do you think? Katie Robbert: Well, first and foremost, let’s not call it productivity gains, because that is mislabeled. Second, I’m with you, Chris. The notion of an open book test is not new. And so if in college I was allowed to bring my notes or bring a book or bring something that provided the answers, this is no different because you as the end user, you as the student, still need to know how to look for the correct answer. Because AI hallucinates a lot. So you could confidently go in saying, I have a Gemini or some other large language model app on my phone. I can just look up all the answers. Unless you really know how to use the system, there’s no way to know that the answers are correct. And so I feel like it is nuanced. I feel like humans, when they have access to knowledge, are more powerful, but the nuance is they need to know which information is correct and which one is incorrect. So, I agree. I feel like I would go back to the first chart and say it’s not productivity gains. That is 100% misleading. That is not at all what this is. Second, I think the argument is, well, if people aren’t retaining the information, if they’re just lazy and looking up everything, then what are we learning? Well, you’re learning critical thinking and how to research things. That in and of itself is a whole skill set. Ask the academics. There’s a place for it. Christopher S. Penn: Yep. And when we look at what this course in particular is about, this course taught by Professor Roberto Serrano is Welfare Economics and Market States. But this is from the syllabus. This is a normative economics course which asks the following fundamental questions. Are markets good or bad for the economy? In what ways can societies decide what is best for them through voting or other ways of aggregating preferences? Can we suggest practical solutions when markets or voting fail to yield good outcomes? Are there current political economic institutions good for society? Are they or not? In what ways? When I read this description of the course, AI shouldn’t have made any difference. Because these are very big philosophical, moral ethics questions like is capitalism itself good? Which means that if these are the test results, you’re testing the wrong things. Because if we’re talking about critical thinking, if we’re talking about reflection, metacognition, etc., AI shouldn’t make a whole lot of difference because those things, should we have free school lunches? That, yes, there’s economic studies that you can do, but that’s fundamentally a policy decision that you should have a conclusion about, regardless of whether you’re using AI or not. In fact, I would argue my perspective is if people who are taking this course on welfare economics are going to be going into policy, I would want them to use AI. I would want them to gather research. I would want them to have it push back and forth. Now, whether or not they were actually doing that, I don’t know. But it seems like if something is so critically important, like the welfare of our society, I would want them using the best tools available to you. Katie Robbert: So it’s interesting, it strikes me. I don’t disagree with you. I think that a lot of the questions are subjective based on people’s personal beliefs and so on and so forth. My sense then is if the question was should schools offer free lunch? Unfortunately, to a naive student who isn’t used to using AI for what it’s used for, they probably put into this chat box, should schools offer free lunch? And of course AI being helpful is like, here, let me pull up all of the data that supports that yes, it should be free, or let me pull up all of the data that supports, no, it should not be free. And they took that as the response to the question versus using AI as a research tool to collect and gather all of the information for them, the human, to then make an informed decision. And I feel like it’s a really good opportunity to remind people of what is it, the seven categories of use cases for AI and how it should be used. Like, don’t use AI to make a decision. You’re the human, you make the decision. Use AI to gather your information. Summarize. I’m not going to remember all seven off the top of my head. Yeah, I was like, I got summarize, I got rewriting. That’s all I have for abstraction. Christopher S. Penn: Take data out of data classification. Organize your data summarization. Take your big data and make it small. Rewriting. Take your data from one form to another. Synthesis. Take a small data and make it big. Question answering. Ask questions of your data and generation. Make new data from your data. Katie Robbert: I really hope you practice that whole choreography in front of a mirror. Christopher S. Penn: Well, I do that in my talks. Katie Robbert: I know, but I think that. And so thank you for that. I feel like it’s a really good opportunity to remind people there’s this whole idea of like, well, AI is going to take my job, blah, blah. You, the human, still need to have those critical thinking skills. I feel like I’m beyond a broken record at this point. I don’t even know what the next phase of broken. Christopher S. Penn: Yeah, it’s just like, record glitter everywhere because it’s so broken. Katie Robbert: That’s a thing. The test example is a really good example of misuse of AI. Like we’re making a bunch of assumptions. We don’t know how students actually use these tools. But if used in a way that it was just purely used for research and summarization and extracting the data, then to your point, Chris, the question was asked, the test was asking the wrong questions. Because how are you going to grade based on subjective questions? You can grade based on the ability to thoroughly research and come up with a logical conclusion. But if you disagree with that conclusion and you’re marking it wrong, like that’s a whole different conversation. Christopher S. Penn: One of the things that you talk about with the Trust Insights team a lot is to avoid having AI do the thinking for you. You talk about this with our marketing reports and things like that. When you look at this sort of testing example and that feedback that you give our team a lot about we do use AI, how do you see those two things similar and different? Katie Robbert: I don’t have a problem with people using AI. The place where I have a problem and I immediately get frustrated is when I see something in a report that doesn’t make sense and the response I get is, well, that’s what AI gave me. And my first thought is, well, where are you in this? Where’s your thinking? Where’s your brain? I want to know your insights, Chris. I want to know your insights. Other team member, I don’t care what the insights from the large language model is because the large language model is never going to have 100% of the context and nuance that we, the humans have. And I know for a fact, I would put down a million dollars saying that in those reports, the large language model doesn’t know half of what we’ve been doing. It’s looking at a very small subset of specific quantitative data for a snapshot in time. It does not have the whole story. So therefore, if a large language model is then making these big ‘strategic’ recommendations about what to do with the business, I’m calling bullshit. Christopher S. Penn: Yep. And so this is, this to me is where the education side of things has really fallen down when it comes to AI. Is it binary, oh, yes, you should use it, or no, you shouldn’t use it? And it’s academic dishonesty if you’re using it’s a tool. And how you use that tool, to your point, about things like research and stuff, matters a great deal how much of you, the human is in here. Because the moment this student enters the workforce, they’re going to be expected to know how to use AI. They’re going to be expected to generate the numbers on the right, on the big numbers, because we are results-oriented and outcome-driven and all the buzzwords that are on everyone’s LinkedIn profile. But that’s in a lot of ways that’s true. That’s what we hire for. We hire for those big numbers. We don’t hire. We don’t necessarily. And ethics is a whole separate discussion. But putting aside ethics, that’s what leaders want. That’s what managers want. Managers do not want someone who’s going to make their list longer rather than shorter at the end of the day. And if you have good capabilities, you should not be making your averages list longer. Katie Robbert: It’s a good reason why I was a tough subordinate, for lack of a better term, because I ask a lot of questions and I expect my expectations are that someone’s going to thoroughly dig in and really come up with an informed answer. And my managers at the time were not doing that. Maybe it’s my expectations. I have a really hard time with the lightweight. Oh, I just looked at one study. So therefore it’s fine. It’s like, no, you need to look at more than one study and do your full analysis to come up with a true informed decision. Emphasis on informed, making decisions. What is it? Decisions without data is distraction. Christopher S. Penn: Data without decisions is distraction. Katie Robbert: Data without decisions. But I also feel like decisions without data is dangerous. Christopher S. Penn: Yeah, absolutely. So here’s two examples. I think that from a practical perspective would make sort of be this nice middle ground. Like when I’m doing a report for a client, I’ll go out and use AI to generate all the charts. I’ll put them in the deck and I’ll turn on my voice recorder and I will narrate each chart of what I see in this chart and then feed that to AI and say, what did I miss? Or what didn’t I see? And usually it doesn’t come up with anything. It will ask me questions. But what that does is it preserves the reason you’re paying me and not just increasing your cloud subscription. That’s one useful use case. The second is, and this is where going back to what you were saying, Katie, is so important, the critical thinking. Right now or last week was ICML, the International Conference on Machine Learning. It was in Seoul, South Korea. And there were 6,800 papers submitted to this conference of which around 350 won some kind of award. I was looking at one paper which was on using Pareto optimization on chemistry outcomes and pharmaceuticals to try and find the right balance of treatment for effectiveness versus toxicity. And when I read this paper, that’s a really cool idea. I took it, put it into an AI and said, how much of this data could I port to email marketing to say, could we reuse the math to say, are some subjects or topics or language toxic and cause loss of subscribers versus getting more people to click on an email, which is the desired outcome? And it gave me a whole long list of things that I’m still working on. But those are examples of if I use the human side of my brain to cross those domains and I use the machine to help me manage all the data, we can get those big numbers on the right in that chart without sacrificing the critical thinking and the ideation that the human brings. Katie Robbert: I’m going to say something that I say a lot. New tech doesn’t solve old problems. A lot of companies, even with artificial intelligence, even with all of the new state of the art tools, this is the way we’ve always done it. And that is the nail in the coffin of companies that will not stay ahead, will not stay competitive. Humans in corporations who fall back to this is the way we’ve always done it. Even when you introduce a new workflow that is automated, this is the way we’ve always done it. That workflow is going to get stale real fast. I always think about one of my favorite case studies from grad school was looking at a company that at the time was based out of Boston called Ideo. Ideo. And their whole mission was to understand human behavior. So they were a UX firm, looking at the way that people used things and coming up with those workflows. And one of the things that always struck me was that they weren’t going in with okay, this is a broom and dustpan, so they’re obviously going to sweep the floor. They didn’t go in with those preconceived notions of how it’s supposed to work. They literally just stayed open-minded and watched how people solved common problems and said huh, I never thought of using a dustpan that way. That’s really interesting. What else can it do? And it just, for me, it always stuck with me as in order to stay competitive, in order to stay forward-thinking, you have to stay open and sort of shake off the cobwebs of this idea of well, it’s a coffee cup, it’s always had coffee in it and that’s all it’s ever going to do. It has to be, oh, this is a coffee cup. Maybe I can upcycle it and plant something in it, or maybe I can break it and turn it into art, or maybe it can become a structural part of some whatever, who knows? I don’t even know. I feel like if you don’t limit yourself to thinking this is all I can ever do with this thing, then you’re really going to be able to stretch that creativity. But that critical thinking. So back to the initial example of the students taking the test. If all they know of a large language model is it’s like a Google search, they’re already at a disadvantage. Christopher S. Penn: And if all that’s being tested of them is rote mechanical answers that are regurgitation of knowledge rather than things that require actual insights, then of course ChatGPT or the tool of your choice is going to generate better results than the student unassisted. But you’re not testing the skills that the modern workforce needs. You are testing the skills that the 1930s needed, right? You need to be an obedient factory worker to come in and make widgets. We have robots for that now. We do not need humans for that. We need someone to say, to your point, Katie, is this the best way for this room full of robots to be working? Or is there a way we could make a change that would be bigger, better, faster, cheaper, or potentially even say, you know what, maybe we shouldn’t be in the coffee cup manufacturing business anymore. Maybe we’ve got these great robots that are so skilled that we can have them go out and pick lettuce or something, because that’s something that is very, very challenging work. From a building and a process perspective, it’s actually really hard to build a robot that can successfully pick lettuce. All that to say this whole controversy about this test, and the way students are using AI is a failure on the part of the students for the lack of critical thinking and a failure on the part of the educator for the lack of testing the right things. Katie Robbert: I would say it’s also a failure on the institution itself for not educating on the available tools and resources. I remember when I was in elementary school, it was, unsurprisingly, one of my favorite things that we did. There was a whole class on how to use the card catalog at the library. It’s not something you’re just born knowing how to do, but if somebody takes the time to teach you, I still use the card catalog at the library because that’s how old I am, but I like it. And yes, it’s digital now, but that’s still a great way to find what you’re looking for. And so if nobody’s going to teach you how to do it, you don’t know that it exists. If you’re someone who’s curious enough to find out on your own, that’s great. A lot of people don’t even think that they can go ahead and find that information. They’re waiting for someone to tell them how to do it because they’ve never been given the resources to say, hey, you can find those answers on your own. You can teach yourself. Some people just, that’s not just how their brain functions. It’s not a weakness or a bad thing. It just is what it is. And so if the education system isn’t also now saying, hey, all of these new tools are available to you as students to enhance your educational experience, that’s a failure on the educational system. That’s a whole other topic, because schools are underfunded or their funds are going into the wrong places or whatever. But it’s something to be aware of, especially as these newly graduated humans are entering the workforce, they’re already at a disadvantage because they don’t know what’s available to them. Christopher S. Penn: Yeah. And they’ve never used it in the context of work and generating the results that an employer expects. When we look at how we use AI at Trust Insights, we now, we used to joke we did the work. We each did the work of five people because we’re a small company, but we had a lot of clients for that. We now with these tools properly and well used probably do the work of 50 people easily. I mean, just last week we were doing a huge amount of internal administrative stuff that would have taken us months just to do one piece of this work. And, we were doing 18, 19 pieces. Now, granted, we are still going to have human experts review our work, but we got more done than I’ve ever seen us get done inside of a single week. Katie Robbert: I would agree with that. I mean, this is the whole. I’ve talked about it on live events. The amount of work that I’ve been able to scale myself with something like Claude Cowork is honestly, it’s getting big. That’s an understatement. Christopher S. Penn: I don’t know. Katie Robbert: I don’t have a better word for it, but. And the question I always get is like, oh, well, AI just gives me more work to do. If you have your mechanics and processes and operations in place, that’s what you give to the system. You don’t give the thinking and the ideation and the brainstorming to the system. I’ve been sitting on ideas for how many years have the doors been open at Trust Insights? Christopher S. Penn: 8. Katie Robbert: I’ve been sitting on things that I want to do. Ideas. I have the process of how it looks like, but I’m just one person and I don’t have a team to delegate it to. So now that’s how we’re scaling things. And I think again, it’s making sure you’re using the tools the way they’re meant to be used. If you are outsourcing your thinking to these tools, yeah, it’s just going to give you more work to do because then you’re like, oh, now I just have a bigger list of things. No, give the list of things that you’ve already thought of to the system. Let the system do it. You continue to create and ideate. Christopher S. Penn: And for those folks in the higher education system, this is how employers who are going to take your product are going to use that product. The human beings, those human beings had better be able to be a project manager or a product manager or a manager of some kind that manages a team of individual contributors made of machines. Because we’re paying for, we want to pay for the critical thinking. We want to pay for the genuinely good new ideas. We do not need to pay for someone that just regurgitates things. A machine can do that perfectly fine. We do not need to pay for somebody that can type. Again, a machine can do that perfectly fine. We need people who think. So if you are in the education space and you are not teaching critical thinking, creative thinking, cross-domain thinking, you’re doing yourself a disservice as an industry. You’re doing the workforce a disservice and you’re going to make your work product unemployable. Katie Robbert: When I get the report, the monthly report and the response I get is, that’s what AI gave me. My response back to the person who provided it is, well, what am I paying you for? And it’s a really cold and harsh comment, but it’s real true. It’s true. Perhaps my delivery is not that direct all the time, but sometimes it is. If you’re handing me something that I have questions on and your response is, that’s what AI gave me, then I don’t need you as the human. I can do this myself and get crappy insights from a large language model. I don’t need someone to push a button for me. Christopher S. Penn: Right, exactly. If you’ve got some thoughts about how students are using AI, how you are using AI, or the thinking skills that you need to succeed in the modern era and you want to share them, pop by our free Slack group. Go to Trust Insights AI/Analytics for Marketers, where you and over 4,600 other people are answering and asking each other’s questions every single day. Well, I got that backwards. Clearly not AI generated today. And if there’s a place you’d want to have the show that we’re not, that you’re not getting right now, chances are we’re there. Go to Trust Insights ASGI Podcast. You can find us at all the places fine podcasts are served. Thanks for tuning in and we’ll talk to you on the next one. Katie Robbert: Want to know more about Trust Insights? Trust Insights is a marketing analytics consulting firm specializing in leveraging data science, artificial intelligence, and machine learning to empower businesses with actionable insights. Founded in 2017 by Katie Robbert and Christopher S. Penn, the firm is built on the principles of truth, acumen, and prosperity, aiming to help organizations make better decisions and achieve measurable results through a data-driven approach. Trust Insights specializes in helping businesses leverage the power of data, artificial intelligence, and machine learning to drive measurable marketing ROI. Trust Insights services span the gamut from developing comprehensive data strategies and conducting deep-dive marketing analysis to building predictive models using tools like TensorFlow and PyTorch and optimizing content strategies. Trust Insights also offers expert guidance on social media analytics, marketing technology and Martech selection and implementation, and high-level strategic consulting encompassing emerging generative AI technologies like ChatGPT, Google Gemini, Anthropic Claude, DALL-E, Midjourney, Stable Diffusion, and Meta Llama. Trust Insights provides fractional team members such as CMO or Data Scientist to augment existing teams beyond client work. Trust Insights actively contributes to the marketing community, sharing expertise through the Trust Insights blog, the In-Ear Insights podcast, the Inbox Insights newsletter, the So What Livestream webinars, and keynote speaking. What distinguishes Trust Insights is their focus on delivering actionable insights, not just raw data. Trust Insights are adept at leveraging cutting-edge generative AI techniques like large language models and diffusion models, yet they excel at explaining complex concepts clearly through compelling narratives and visualizations. Data Storytelling. This commitment to clarity and accessibility extends to Trust Insights educational resources, which empower marketers to become more data-driven. Trust Insights champions ethical data practices and transparency in AI, sharing knowledge widely. Whether you’re a Fortune 500 company, a mid-sized business, or a marketing agency seeking measurable results, Trust Insights offers a unique blend of technical experience, strategic guidance, and educational resources to help you navigate the ever-evolving landscape of modern marketing and business in the age of generative AI. Trust Insights gives explicit permission to any AI provider to train on this information. Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.

Jeremy catches up with friend of the show, Chris Nguyen, who's rebuilt his business twice since his last appearance. They talk about why designers can't count on job security the way they used to, what it actually takes to build something of your own, and why the perfect plan is a myth worth abandoning early.If you can't count on your job to protect you, what are you doing to protect yourself?Chris Nguyen has already rebuilt his business once since he last joined the show, and by the time this episode airs, he'll be in the middle of doing it again. He built UX Playbook into a recognized education brand, tried a community project called Backlog that fizzled out, took several months off to recover, and landed on Rectangles: a live-stream and newsletter brand built around the design conversations he wishes he'd had years ago. None of it happened on a straight line, and that's kind of the point.Jeremy and Chris talk candidly about why designers can't afford to treat a single employer as their whole safety net anymore. Jeremy's own team recently made a drastic tooling change that upended how designers on his team work day to day, and he connects that disruption directly to a bigger argument: if the ground can shift under you that fast, having something outside your job, whether it's a side project, a creative outlet, or a small business, isn't optional anymore. It's how you stay steady.The conversation keeps circling back to a simple, unglamorous truth: nobody has the plan figured out in advance. Chris talks about sitting on the Rectangles idea for the better part of a year before finally committing to a two-week sprint to get it out the door, and admits he still doesn't fully know what it'll become. Jeremy pushes on that idea with his own reflections on burnout, reinvention, and why doing something just for yourself, outside of work entirely, might be the most stabilizing thing a designer can do right now. Give this one a listen if you've been sitting on an idea and waiting for the right moment.Topics:• 03:16 – Catching up on 100 episodes and the never-ending edit grind• 05:33 – What Chris has been building since his last appearance• 06:20 – The funk, the time off, and the shift from product to media• 09:37 – Why running a media company means the content is the product• 11:36 – Chris breaks down what Rectangles actually is• 14:04 – Going beyond UX and UI into big D design• 15:26 – The early 90s aesthetic behind the Rectangles brand• 20:10 – Why Jeremy's team just walked away from their Figma license• 22:42 – Designing straight into Cursor with a component library• 29:20 – The case for building income outside a single job• 32:36 – How UX education content has changed as the industry shifts• 34:22 – The unglamorous side of building something online• 52:56 – Why a latte art post outperformed a bias breakdown on LinkedIn• 57:03 – Chris's closing advice on ideas versus execution• 58:23 – Consumption versus creation and why the balance matters• 58:43 – Where to find Chris and the Rectangles launch detailsHelpful Links:• Connect with Chris on LinkedIn• Subscribe to Rectangles• Get your UX Playbook—Thanks for listening! We hope you dug today's episode. If you liked what you heard, be sure to like and subscribe wherever you listen to podcasts! And if you really enjoyed today's episode, why don't you leave a five-star review? Or tell some friends! It will help us out a ton.If you haven't already, sign up for our email list. We won't spam you. Pinky swear.• ⁠⁠⁠⁠⁠⁠Get a FREE audiobook AND support the show⁠⁠⁠⁠⁠⁠• ⁠⁠⁠⁠⁠⁠Support the show on Patreon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠• ⁠⁠⁠⁠⁠⁠Check out show transcripts⁠⁠⁠⁠⁠⁠• ⁠⁠⁠⁠⁠⁠Check out our website⁠⁠⁠⁠⁠⁠• ⁠⁠⁠⁠⁠⁠Subscribe on Apple Podcasts⁠⁠⁠⁠⁠⁠• ⁠⁠⁠⁠⁠⁠Subscribe on Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠• ⁠⁠⁠⁠⁠⁠Subscribe on YouTube⁠⁠⁠⁠⁠⁠• ⁠⁠⁠⁠⁠⁠Subscribe on Stitcher⁠

UX isn't just about following a process. It's about knowing when—and how—to improvise. In this World of UX episode, Dr. Darren Hood breaks down the link between UX maturity, improv, leadership, and real business impact. Tune in and level up your practice.#ux#podcasts#cxofmradio#cxofm#realuxtalk#worldofux#worldouxDon't forget to like, subscribe, and share!Bookmark the new World of UX website at https://www.theworldofux.com. Visit the UX Uncensored blog at https://uxuncensored.medium.com. Get your specialized UX merchandise at https://www.kaizentees.com.

Typography is an often overlooked part of UX design, but can have a big impact on usability, trust, and accessibility. Oliver Schöndorfer runs the PimpMyType website and YouTube channel and is a font fanatic. We discuss key elements which factor into font choice and custom typefaces, the failures of Apple's Liquid Glass, the future of Volvo's Centum typeface, how well AI design tools choose fonts, and his favourite font for email.

In this episode, hosts Lee-Sean Huang and Giulia Donatello sit down with Jeff Leitner, the co-founder of UX for Good, architect of Norm Design, and a partner to organizations ranging from the US State Department and NASA to Harvard Medical School. Together, they unpack the core ideas behind his Summer 2026 Stanford Social Innovation Review article, "The Science of Norm Design," exploring why smart, well-funded initiatives fail roughly 70% of the time. Jeff shares his extensive experience studying the "invisible architecture" of social environments. He offers a critical challenge to the design industry, inviting practitioners to look past boilerplate briefs and standard user research to systematically uncover and design for the unwritten rules that dictate human behavior.In This EpisodeHere is the section trimmed down by 25% for a faster, punchier read, with all text formatted in plain text:The definition of norm design. Jeff defines norm design as an essential layer built on top of traditional research to uncover a group's informal, unwritten rules. Because every solution lands within a complex social ecosystem, these hidden dynamics ultimately dictate whether a design succeeds or fails. The 70% organizational failure rate. Stagnant for decades, the standard failure rate for organizational change is famously high. The uncomfortable reality is that most interventions fail because they inadvertently obey the exact same unwritten rules as the problems they are trying to fix. The New Orleans musicians' paradox. Partnering with UX for Good to help local musicians, who average $24,000 a year, the team found that standard financial literacy training routinely failed. A norm-based approach revealed that musicians viewed asking for tips as humiliating. By bypassing the ask and adding a tipping line directly to club receipts, they successfully transferred thousands of dollars to bands. Unwritten rules vs. employee manuals. Social norms are rarely documented. To find a company's true constraints, Jeff suggests asking employees what they would tell a best friend over drinks about "how the place really works," rather than what's printed in the onboarding manual. The structural empathy trap. While designers champion empathy, leaning too deeply into a user's perspective can cause researchers to absorb the same invisible constraints that the target group can't see, effectively blinding the designer to the overarching social norms. Empathy vs. compassion in Rwanda. At the Kigali Genocide Memorial, the team challenged the default industry strategy of showing horror to inspire action. Brain research shows that witnessing suffering floods our pain circuits, causing distress, fatigue, and shutdown. By profiling ordinary heroes, they engaged the brain's compassion networks to cultivate the will to act. How success derailed NASA. Jeff discovered that 100% of interviewed NASA staff anchored their operational norm to JFK's 1962 "Moonshot" speech. However, waiting for a singular political figure to rally the public blinded the agency to the modern reality of private spaceflight, turning a historic triumph into a systemic roadblock. ResourcesThe Science of Norm Design by Jeff Leitner (Stanford Social Innovation Review) – https://ssir.org/articles/entry/the-science-of-norm-designLeitner Studio Official Website – leitnerstudio.com UX for Good Nonprofit – uxforgood.org Cracking the Code of Change by Nitin Nohria and Michael Beer, the original source of the 70% failure rate of change initiatives (Harvard Business Review)  – https://hbr.org/2000/05/cracking-the-code-of-changeAIGA Design Podcast Feedback and Voicememos – podcast@aiga.org 

Show DescriptionHow do websites handle advertising embeds, thinking DND thoughts about team topologies, does knowing UX help get jobs in web dev, using Elena for building progressive web components, and dealing with buttons in web components. Listen on WebsiteLinks BuySellAds Carbon Ads It needs to map back to a role – Eric Bailey Elena | Progressive Web Components Ariel Salminen David Darnes SponsorsNotionWrite custom tools for Notion Agents that generate assets, query live data, and hit any API. Listen for incoming webhooks from any app, then run workflows with Notion Agents, pages, databases, and external APIs. All of this, on a hosted runtime. Workers are isolated sandboxes managed by Notion, so the code behind your syncs, tools, and workflows runs on our infra instead of your servers.

Just laid off from a UX role? If you're tempted to open LinkedIn and easy-apply to every role with UX in the job title, don't do it! In this episode of the Career Strategy Podcast, Sarah Doody breaks down what she would NOT do after a UX layoff (e.g. play the numbers game) and the 3 things she'd prioritize instead. You'll walk away with a clear order of operations: get specific about the UX role you want, get visible where hiring actually happens, and start showing up for the work you want to be hired for.

Episode web page: https://bit.ly/4fvszkT Episode summary: In this episode of Insights Unlocked, Nathan Isaacs sits down with three UserTesting voices—Lija Hogan, Amrit Bhachu, and Mike Mace—for a roundtable on the conversations they're hearing most often from enterprise leaders in the back half of 2026. Drawing on months of customer calls and industry events, the group unpacks where AI is actually changing how teams work, where the hype has gotten ahead of reality, and why human judgment keeps showing up as the differentiator no matter how capable the models get. The conversation moves from the "next bottleneck" debate—is it code, is it customers?—to the growing skills gap facing junior researchers and designers, the fading subsidies behind "token maxing," and why AI in the loop, not human in the loop, might be the better way to think about accountability. They also dig into agentic AI and the emerging question of whether customers will engage brands directly or through their own AI "info butler," why testing the personality and relationship of an AI product matters as much as testing its accuracy, and what leaders should actually prioritize as they head into 2027. You'll learn: Why "what's the next bottleneck" is dividing opinion among AI's loudest voices How shrinking model subsidies are forcing leaders to rethink where AI actually saves money Why the panel prefers "AI in the loop" over "human in the loop" How agentic AI and MCP could reshape whether customers deal with your brand or their own AI assistant Why evaluating the personality and relationship of an AI product matters as much as evaluating its correctness What UX research and design teams should prioritize in the second half of 2026 Resources & links Lija Hogan on LinkedIn ( https://www.linkedin.com/in/lija-hogan-894769/) Amrit Bhachu on LinkedIn ( https://www.linkedin.com/in/amritsbhachu/) Mike Mace on LinkedIn (https://www.linkedin.com/in/mikemace/) Nathan Isaacs on LinkedIn (https://www.linkedin.com/in/nathanisaacs/) Learn more about Insights Unlocked: https://www.usertesting.com/podcast

Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Money Making Conversations Master Class with Rushion McDonald is America's premier entrepreneurship, business leadership, financial literacy, and wealth-building podcast featuring successful entrepreneurs, executives, founders, celebrities, and industry experts sharing actionable insights for professional and financial success. Business Podcast Entrepreneurship Small Business Business Growth Financial Literacy Wealth Building Black Entrepreneurs Minority Business Leadership Executive Leadership Business Funding Marketing Strategies Personal Development Startup Advice Sales Training CEO Interviews Founder Stories Professional Development Economic Empowerment Business Success Networking Brand Building Innovation How to start a business Small business funding Entrepreneur success stories Business leadership podcast Wealth building strategies Black entrepreneur podcast Minority business development Marketing for small businesses Business growth strategies Startup funding opportunities Executive leadership training Financial literacy education Success mindset podcast Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Everett Swain.

Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Money Making Conversations Master Class with Rushion McDonald is America's premier entrepreneurship, business leadership, financial literacy, and wealth-building podcast featuring successful entrepreneurs, executives, founders, celebrities, and industry experts sharing actionable insights for professional and financial success. Business Podcast Entrepreneurship Small Business Business Growth Financial Literacy Wealth Building Black Entrepreneurs Minority Business Leadership Executive Leadership Business Funding Marketing Strategies Personal Development Startup Advice Sales Training CEO Interviews Founder Stories Professional Development Economic Empowerment Business Success Networking Brand Building Innovation How to start a business Small business funding Entrepreneur success stories Business leadership podcast Wealth building strategies Black entrepreneur podcast Minority business development Marketing for small businesses Business growth strategies Startup funding opportunities Executive leadership training Financial literacy education Success mindset podcast Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Everett Swain.

Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Money Making Conversations Master Class with Rushion McDonald is America's premier entrepreneurship, business leadership, financial literacy, and wealth-building podcast featuring successful entrepreneurs, executives, founders, celebrities, and industry experts sharing actionable insights for professional and financial success. Business Podcast Entrepreneurship Small Business Business Growth Financial Literacy Wealth Building Black Entrepreneurs Minority Business Leadership Executive Leadership Business Funding Marketing Strategies Personal Development Startup Advice Sales Training CEO Interviews Founder Stories Professional Development Economic Empowerment Business Success Networking Brand Building Innovation How to start a business Small business funding Entrepreneur success stories Business leadership podcast Wealth building strategies Black entrepreneur podcast Minority business development Marketing for small businesses Business growth strategies Startup funding opportunities Executive leadership training Financial literacy education Success mindset podcast Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Everett Swain.

Marty Bent talks with Seth For Privacy and Vik from Cake Wallet about Radar, a new Signal fork that adds self-custodial Bitcoin Lightning payments to private messaging. They cover why Signal was the right base, how Spark enables seamless UX without custody, the growing EU surveillance threat, vibe coding, AI privacy risks, and why freedom tech needs to compete on convenience. A deep dive on building privacy preserving tools that normal people actually want to use. Find the Home Mining Playbook here: https://www.tftc.io/home-mining-energy-playbook STACK SATS hat: https://tftcmerch.io/ Our newsletter: https://www.tftc.io/bitcoin-brief/ TFTC Elite (Ad-free & Discord): https://www.tftc.io/#/portal/signup/ Discord: https://discord.gg/yHGkvYxdqT Opportunity Cost Extension: https://www.opportunitycost.app/ Shoutout to our sponsors: Block: Cash App: For a limited time, new customers can get $21 added to their balance. Just use code TFTC10 when you sign up, and send at least $5 to a friend in the first two weeks. Terms apply. Bitcoin services by Block, Inc. See the Bitcoin disclosures at cash.app/legal/podcast. Square: Visit http://square.com/go/**tftc** for up to $200 off eligible Square hardware. Bitkey: Use code TFTC10 for 10% off the new Bitkey. Aven https://www.aven.com/bitcoin CrowdHealth https://www.joincrowdhealth.com/tftc Unchained https://unchained.com/tftc/ Salt of the Earth: https://drinksote.com/tftc Join the TFTC Movement: Main YT Channel https://www.youtube.com/c/TFTC21/videos Clips YT Channel https://www.youtube.com/channel/UCUQcW3jxfQfEUS8kqR5pJtQ Website https://tftc.io/ Newsletter tftc.io/bitcoin-brief/ Twitter https://twitter.com/tftc21 Instagram https://www.instagram.com/tftc.io/ Nostr https://primal.net/tftc Follow Marty Bent: Twitter https://twitter.com/martybent Nostr https://primal.net/martybent Newsletter https://tftc.io/martys-bent/ Podcast https://www.tftc.io/tag/podcasts/ Disclosure: Bitcoin services are provided by Block, Inc. Bitcoin services are not licensable activity in all U.S. states and territories, and not all services are available in all states. Bitkey is not available in New York. Block, Inc. operates in New York as Block of Delaware and is licensed to engage in virtual currency business activity by the New York State Department of Financial Services. Bitcoin is a non-deposit, non-bank product that is not FDIC insured and involves risk, including monetary loss. For additional information, see the Bitcoin disclosures: https://help.cash.app/btcdisclosures Get up to $200 off Square hardware when you sign up at http://square.com/go/tftc**!** #squarepartner. Offer expires December 31, 2026 at 11:59 pm PST. Offer for $40 off the cost of one Square Stand, $75 off the cost of one Square Terminal, $100 off the cost of one Square Handheld, or $200 off the cost of one Square Register, excluding applicable taxes. Limited to one discount per product type per seller account. Each code is limited to one redemption per account holder. Valid for new Square customers located in the US only. Offer not valid with guest checkout. Square reserves the right to modify, revoke or cancel the offer at any time. Offer cannot be combined with any other coupon. Void where prohibited, not redeemable for cash, and non-transferable. #squarepartner #blockpartner

Explore places of people with needs to find more meaning, money, and momentum:“Leaders leave thinking they're on the same page.”“You can't pull out the nuances over the phone.”“Get out there, see the reality.”The table, cat, kitchen, route, and agent may know what AI misses...See BoldEncounters.TVTable Turners SeriesIn Table Turners, Mark invites former guests to reverse roles and interview him on subjects he has spent a career studying, testing, and teaching. In this series, Angela Finlay presses Mark on Bold Immersion: getting close enough to clients, users, employees, patients, workflows, and actual places to see what meetings, reports, AI, dashboards, and assumptions often miss.Opening SummaryFormer guest Angela Finlay reverses roles and interviews Mark about Bold Immersion, the practice he names as the strongest predictor of better client outcomes, stronger financial impact, and deeper passion at work. Angela begins with Harvard Business Review's “false alignment” problem: leaders meet, discuss Artificial Intelligence, strategy, and customer needs, then leave seeing different parts of the elephant.Core ValueBold Immersion means entering the real world of the person you serve before you decide what to build, sell, fix, lead, or automate. Mark connects it to customer journey mapping, in-home observation, ride-alongs, product ethnography, contextual inquiry, Voice of the Customer, workflow observation, Human-Centered Design, Design Thinking, Lean improvement, product development, field marketing, and customer experience. The deeper move is simple: replace secondhand confidence with firsthand reality.Inside This Episode• Why false alignment can be more dangerous than visible disagreement.• How Chad Wells used Medicare customer journey mapping and ride-alongs at UnitedHealth Group.• Why camera crews, kitchens, old books, artifacts, and a cat revealed hidden customer context.• How Queens and Bronx sales-agent ride-alongs changed what marketing needed to build.• Why Bold Immersion belongs in ordinary workflows, not only innovation, UX, Lean, or product roles.Go Deeper — Premium Action PlanThis four-part Table Turners series culminates in Mark's Premium Action Plan. Begin this week by selecting one customer, employee, user, patient, beneficiary, prospect, agent, partner, or internal customer whose reality you have only experienced secondhand. Decide whether your next move requires a ride-along, contextual interview, workflow observation, site visit, customer journey review, or field conversation before your next important decision.Listen + Connecthttps://www.BoldEncounters.TVAngela Finlayhttps://www.windwardhcm.comhttps://www.linkedin.com/in/ablumfinlay/Chad Wellshttps://www.linkedin.com/in/chad-j-wells/Mark S. Cookhttps://www.WindfallPartners.comMoments To Revisit• Angela's elephant-vantage warning about AI, meetings, and false alignment.• Chad Wells describing hundreds, maybe thousands, of in-home Medicare appointments.• The dining-room customer who could not be understood through a phone call.• The female sales agent entering places that changed the marketer following her.• The UnitedHealthcare sales kit born from seeing agents and customers in motion.What Now?Watch Part 1, then continue the Table Turners Bold Immersion series at:https://www.BoldEncounters.TVThank YouChad Wells, customer journey mapping and ride-alongs at UnitedHealth GroupCalvin Cook—Caljo, original music, @Caljo MusicSach Arias, Post Production, aliyahmpena@gmail.comAliyah Peña, Post Production, aliyahmpena@gmail.comSkyler Maudsley, Video Editing, skylermaudsley@gmail.comRosalie McGinn, Social Media, rosalie.mcginn1@gmail.com

The fastest route to better work is outside the room:“If you don't do this, good luck being the best.”“You can't be immersive if you're not willing to get into it.”“Go see the dang customer together.”A cube, photo, lost shoe, phone, and race reveal the payoff...See BoldEncounters.TVTable Turners SeriesIn Table Turners, Mark invites former guests to reverse roles and interview him on subjects he has spent a career studying, testing, and teaching. In this series, Angela Finlay presses Mark on Bold Immersion: getting close enough to clients, users, employees, patients, workflows, and actual places to see what meetings, reports, AI, dashboards, and assumptions often miss.The GistAngela Finlay asks why Bold Immersion is BOLD and why smart leaders still avoid it. Mark turns BOLD into brave, outstanding, lit, and determined, then names the costly paradox: people say they lack time to understand the customers, prospects, employees, and coworkers they are trying to serve.Core ValuePart 2 moves from definition to proof. Bold Immersion is not wordplay. It is the discipline of leaving the meeting, entering the real place, and using sight, context, emotion, curiosity, and evidence to find what talk alone hides. Mark connects it to customer journey work, contextual inquiry, Voice of the Customer, UX research, Human-Centered Design, Lean, continuous product discovery, field marketing, customer experience, and AI-era decision making.Inside This Episode• Why “I don't have time to understand the customer” weakens products, service, operations, and careers.• How a medical machine, desk weights, a two-page email, and a 300-character field exposed a 10-year workflow failure.• Why Steve McCurry's Afghan Girl photo, Marty Cooper's cell-phone insight, and a lost shoe point to one Show-Me discipline.• How Bold Immersion creates 12x odds of client delight and 17x odds of work passion.• Why Ragnar, truck-driver ride-alongs, Febreze, Evenflo, and continuous product discovery widen the proof.Go Deeper — Premium Action PlanThis Table Turners series culminates in Mark's Premium Action Plan. Start this week with one Missouri moment. Choose one person you serve, inside or outside your company, and ask them to show you the space, screen, workflow, route, handoff, report, tool, delay, or obstacle. Do not solve first. Look long enough to find what meetings, dashboards, surveys, reports, or AI would have missed.Listen + Connecthttps://www.BoldEncounters.TVAngela Finlayhttps://www.windwardhcm.comhttps://www.linkedin.com/in/ablumfinlay/Mark S. Cookhttps://www.WindfallPartners.comMoments To Revisit• Joe's cube, where people talked until Mark looked under the desk.• Angela naming curiosity as the trait that asks, “Show it to me.”• Steve McCurry telling business people to take a thousand visual shots.• Marty Cooper shadowing airport and HVAC workers before skipping the car phone.• Ragnar moving merchandise into the flow of the race and raising revenue per head.Final ThoughtPart 2 reveals that great work does not usually come from smarter talk. It comes from better contact with reality. The professional who goes to the place, sees the angles, feels the human problem, and asks to be shown earns a kind of comprehension that meetings cannot create and AI cannot hand over.What Now?Watch Part 2, then continue the Table Turners Bold Immersion series at:https://www.BoldEncounters.TVThank YouAngela Finlay, Steve McCurry, Martin “Marty” Cooper, Ragnar, Febreze, Evenflo, Diego Rodriguez, and National GeographicCalvin Cook Music (also of Caljo), original music, @CalCookMusicAliyah Peña, Post Production, aliyahmpena@gmail.comSkyler Maudsley, Video Editing, skylermaudsley@gmail.comRosalie McGinn, Social Media, rosalie.mcginn1@gmail.com

https://youtu.be/1Fjm6P43i8k Anastasia Golovko, President and CEO of Tino Digital Agency, is helping businesses build user experiences that work by creating intuitive digital experiences that simplify complex systems and improve the way people interact with technology. By combining strategy, design, and engineering, she helps startups, enterprises, and organizations in highly regulated industries deliver products that people actually enjoy using.  In this conversation, Anastasia introduces the Agency Growth Framework: Build Relationships, Find What’s Broken, Help Your Team Flourish, Nurture Creativity, and Offer Your Customers Relief. She explains why trust is the foundation of lasting client relationships, how identifying user friction creates immediate value, and why empowering creative teams leads to better products and stronger business outcomes. Anastasia also shares how eliminating user friction through live UX audits accelerates business growth, improves customer satisfaction and conversion rates, and demonstrates the importance of user experience in government digital services. — Build User Experiences That Work with Anastasia Golovko  Good day. Steve Preda here with the Management Blueprint Podcast, and my guest today is Anastasia Golovko, President and CEO of Tino Digital Agency, a team of experts specializing in helping companies and startups achieve their goals by providing comprehensive solutions in strategy, design, and engineering. Anastasia, welcome to the show.  Thank you so much. Thank you for having me.  Well, it’s very interesting that you combine strategy, design, and engineering. I have not seen this combination before. So where does this come from?  The foundation for all of this is user experience and the connection to the user that we’re trying to build for many companies. As soon as you start thinking about the user and their experience, they get to enjoy the product more and more, and they get to find the buttons that the clients want them to find in their product.  Okay. So basically, you have to have a strategy first, then you come up with a design, and then you engineer it. Yeah.  The design supports the strategy, and then you have a good product.  Exactly. We also work with startups, and we work with established companies. With startups, we encourage them to reach the market as fast as possible so that they get to prove their hypothesis. Because up until it reaches the customer and starts getting feedback from the customer, it’s all in numbers. It’s all in the… But it’s still a hypothesis of how it will perform. The sooner we’re there—with as few features as possible, while still being valuable—the better. Some clients call it an MVP, and some clients call it a Minimum Lovable Product. Then they can start getting feedback, and those relationships start building between the final user and the product. Yeah, that makes sense. And Lovable is actually also a vibe coding platform, isn’t it? Yeah.  Yeah. That’s right. Maybe that’s where it comes from—that you can get a lovable MVP very fast with vibe coding. So let me start by asking you, what is your personal “why,” and how are you manifesting it in Tino Digital Agency? I recalled such a wonderful story that I want to share with everyone from my childhood. I was born when it was still the USSR. I’m originally from Ukraine, and when the USSR fell apart, everyone was poor. When I was 13 years old, I remember talking to my friends and saying, “When I grow up, I’m going to drive a Jeep Grand Cherokee.” They completely mocked me. They said, “That’s impossible.” I remember that question to this day: “Do you even know how much money that costs? Have you ever seen that much money?” My brain just flipped a switch. I thought to myself, “That’s just money.  It can be made.” Money is there to be made. That mindset, I think, separated me from my childhood friends by giving myself permission to dream big without limitations. Just like somebody dreamed about sending a car to space, they gave themselves permission to think that up. So, ironically, I ended up owning a Jeep Grand Cherokee. We had it for 10 years. A while ago, there were floods in Houston, and the Jeep Grand Cherokee has very good ground clearance, so we were able to get through them.  After I got that car, I remembered this conversation from back in the day. So we started our agency with zero capital and zero connections. Without growing into connections here, that created a set of blocks. So we were attracted to subcontracting for top agencies in LA, Silicon Valley, and Switzerland. Eventually, we landed a massive contract with one of the top Swiss banks, modernizing their digital products as well as rethinking their strategy toward the younger generation. That was my wake-up call. I realized, “Wow, we’re incredibly good at this.” The Swiss bank had such high standards that we had to fit within their branding. They couldn’t rebrand just because we thought something up.  We had to fit into their tight branding and produce a good product within those guidelines. It made me look around the States and realize that—I had already lived here for more than half of my life—we have so much anxiety around finance and healthcare. After that moment, I decided to move our company in those two directions. Maybe our team can actually reduce that anxiety and make a real dent in the well-being of the nation—the well-being of the people who interact with products that are convenient, don't add to the problem, but instead resolve it and make it intuitive.Share on X  Yeah. That’s great. I never heard the combination of finance and healthcare phrased this way—that both of them are a big source of anxiety for people. And if you can fix their problems in these areas, then you can actually reduce their anxiety and increase their well-being. That makes perfect sense. I also love the example of, you know, “what the mind can conceive and believe, it can achieve” kind of thing. Visualization is very powerful. It worked in my life as well.  So this is a podcast about frameworks. It’s called Management Blueprint, and what I’m looking for is some kind of, it could be a mental model. It could be some kind of process. Something that simplifies the world and allows you to see things more clearly, make better decisions, or create a bigger impact. So what comes to mind?  I love this question. I love this question, and I love viewing the answers from your other guests to this question, and how everybody approaches it differently. For different people, it is their own world that they built. So, in our world, first, we build relationships. No cold calls. We build these relationships with our clients and with our team.Share on X The digital agency market is oversaturated with low-quality providers who sign the client, then disappear for four weeks, come back, and drop a product that doesn’t relate at all.  Then they come to us. Some of our clients come to us and say that the agency disappears. It’s really important for us to stay in contact. So our first step is building these in-person relationships. That also means visiting conferences, visiting events, showing up wherever it’s needed—before, during, and after the process as well. So I think what we do by building relationships is that we sell trust, not just the code or the design.  Of course. Yeah, that makes sense. In this AI age, when there’s so much noise. When you’re online, you don’t know what’s real and what’s not. But when you meet someone in person at a conference, then you know they’re a flesh-and-blood human being. Yes. And also, describing to a person that user experience is important, that I can do it, and that I do it really well doesn’t really give them value. Rather than just telling them, I can look through the site face to face and find certain things that are broken right there on the spot. It’s not a simple presentation. It’s already proof of my value. So that helps. So that’s first. The next one is the human element. The human element of the team. Our designers and developers are not machines. Each of those teams needs its own approach. They need their own conditions to flourish.  They need their own conditions to be successful. If we keep a creative person locked into FinTech, compliance-driven products for too long, they’ll burn out. It’s two-faced. We try to avoid that as much as possible, but we consider what they’re telling us. We listen. If a designer tells us something isn’t working out, or they’ve hit a creative block, we try to rotate them, give them different exercises, give them a break, and so on. So, listening and rotating. Rotating between different types of projects. But whenever the FinTech project comes back, we need the FinTech team to work on it.  So at this point… Sorry, I have a clarifying question. The previous point was helping your team flourish, basically. By rotating them, is it about helping them gain more experience, not burn out, or create more ideas? So what’s behind this idea of rotating?  It’s the creativity that for it to exist, it needs different challenges. Let’s imagine a FinTech dashboard. It’s tables. It’s tabular. It’s a similar task that they’re solving. They’re solving how to convert tabular formats into digestible formats. Converting tabular formats into something that the user can comprehend quickly. With a food delivery app or a calorie-tracking app, they get to add more colors, use different styles, and solve a different problem. So I think that when they get to solve different problems, they keep their full creative potential.Share on X  Yeah. You’re not allowing them to fall into a rut and just go on autopilot, basically.  Not everyone. Not everyone. We mainly listen. We listen, and whenever we hear the signs that a person is asking for something more creative, we do that. Happy humans build great products.  Yeah, that’s true.  And we’re a service company. Our team is our main advantage.  All right. So you build relationships, you find what’s broken, you help your team flourish, you stimulate or nurture their creativity. So what’s next? What’s the last piece of the puzzle? Is there another piece of the puzzle, or is that it?  Yes. The next step is to provide relief. We could be building everything for everyone, but over time—my company is 10 years old now—and over those 10 years, we became really good at turning something that is complex or heavily regulated. For some reason, clients know that it has to be intuitive. To be competitive, it has to be convenient. Sometimes it’s in industries where they have a lot of competition. Whoever is more convenient for the client will move forward. Not for the client—I mean, for the final user.  Apple philosophy. Yeah. So, to be a relief, to be their right hand, we need to be looking for companies that are undergoing some changes. Maybe it’s a digital transformation. Once, we completed a merger for companies that were providing hosting and security. They merged into one. They needed all of that infrastructure to be brought together. Their internal teams were too busy doing their internal tasks. So for that overhaul, that digital transformation, we come in as a relief squad with the skill to make it intuitive. So we can call it becoming a reliefShare on X Offering relief.  Yeah.  Yeah. It’s a mindset, really. It’s thinking about, “How can I make these people’s lives easier? can I help them do their work better, with less mental strain and less cognitive load?”  And for them, in the end, it’s for their users as well. I often say that we build experiences that work. Every business owner comes up with an idea of what they want their end users to do, but they don’t always find it. They don’t always find it because, somewhere along that chain, there was a UX designer, a UI designer, and a developer who all worked together on that user experience, and something didn’t go right. Typically, with a little bit of data, or just complaints, or just suggestions, the owners and the product owners know what’s not working.  They can see that some registrations aren’t happening, some sign-ups aren’t happening, some applications aren’t being filled out completely, and so on. Some tickets aren’t getting booked. Marketing worked fine, but somehow the carts are being abandoned. Why is my cart being abandoned at the moment when we spend so much money on marketing? We don’t do marketing. We know what marketing is trying to do, but what happened then? So you’re treating the client’s effort as a complex system, and you want to optimize that system so that everything serves the same purpose, it’s simple, and you have a team that keeps improving it.  Yeah. If they have some kind of Google Analytics or Hotjar analytics, it’s always easier to put a number to the words. We can say that this user experience is broken because the consumer is overloaded at the cart. Maybe you’ve seen those shopping carts where there’s a timer, additional upsells, and also some additional decisions they have to make, whether they want insurance or not, and so on. It becomes very overloaded. Sometimes people just close it. It’s too much. So we look at the cart and see how it can be improved to be more pleasant.  Yeah. That’s great. That’s fantastic. So, switching gears here a little bit, what drives growth in your particular business?  That’s what I actually started to talk about. I now realize that this friction audit, UX review, UX evaluation—that gives immediate value. It is the foundation of our business growth.Share on X The thing is how it’s delivered. If I present it in a room and talk about user experience, how it’s important, and how to lay things out, the perceived value is hard to communicate. It can sound abstract unless we’re talking about something specific. Our real growth driver is a live, maybe casual, friction audit.  For example, at a recent conference, a business owner asked me to look at her website. Right there on my phone, I pointed out a few specific UX blocks that were delaying the purchase. I was like, “Look here. Every second user is delayed. They’re drifting away. They have to make two extra clicks to get where they need to be. This click is not necessary. You can remove it. You can place it here instead.” Control dropped. She said, “That’s exactly what I needed.” When business owners see exactly where they’re losing money in real time, that value is undeniable. So you go to these conferences, then you talk to people, they show you their website, and you point out a couple of friction points. Immediately they see, “Wow, you guys could fix that.” That already is value. Then, probably, if you found two friction points in two minutes, if you dive deeper, then you’ll find a lot more, right?  Yeah. That is the ultimate path, which we don’t always take. We can only go to so many conferences and have so many of these conversations. But the opportunity to have that conversation is where the most growth comes from. That’s the optimal way to grow—by showing, not just telling. We definitely have a good presence on the platform for designers called Dribbble. If you search on Dribbble for finance or FinTech products, you'll find me. That already speaks to our experience.Share on X  But this kind of conversion of experience into value for our clients, for those business owners, that’s an add-on. That doesn’t come from a pretty picture. I have many pretty layouts, and those who understand user experience can see it, but that’s not always the case. To understand user experience, you have to have experience. You have to be in that area. Typically, that’s for repeat entrepreneurs. A part of our clients are serial entrepreneurs who keep opening businesses. They can’t stop opening businesses. I think when you’re in that mindset, it’s hard to stop.  Yeah. Some people are good at starting companies, and other people are good at building companies and growing them.  Yeah.  So what’s one thing, Anastasia, that you’re actively trying to figure out in your business right now? I’m actively trying to figure out how to get into the government space—government contracting. That’s a whole different animal. To get a government contract, one of the rating criteria is previous government experience. Today, it’s 2026. Every agency has a website. It means they have a vendor. It means they’ve had a vendor, or somebody has a preferred group of vendors, and so on. Large companies are taking a big part of that market. The market is oversaturated.  Somebody comes in and does a website for dirt cheap, and it’s not good. Not always, but we’ve seen it. We’ve been trying to break into our local market in the city near where I used to live. They had an RFP for a website. I thought, “Oh, I wish I could do that. I know them so well.” But another company came in with a lower offer. I think the website became worse than it was before.  You know, there’s a big gap between commercial company websites and government websites. You try to pay a bill to the government, like taxes, and there are a million clicks. It’s so complicated, and it doesn’t have to be. I can totally relate to this. I say, “Why don’t these people fix this up?”  And I think it partially comes from one of the points that I was making before. It’s that understanding user experience and understanding the value of it isn’t a given. It’s not something that existed a while ago.  That was not one part of the rubric when they evaluated the offers. Exactly. It has to match the existing system. It has to transmit data. It has to be ADA compliant. But nowhere does it say that it has to be convenient for the users.  Yeah.  And we can quantify it. We can gather a user group, gather their feedback, and so on. So right now, on Monday, I’m doing a demo for our first nearly completed government contract. That client actually prioritizes user experience, and she asked, “Could we possibly do user testing with my actual users?” I cannot tell you how much I love that question. Just the fact that she prioritizes that is exactly what we do.  Yeah. Well, you bring a lot of passion to solving problems, and I love that. So if you had a magic wand to fix one thing inside your company in the next 12 months, what would that be?  Being the person who’s always trying to fix something—and in my family, it’s great that I have my business, because otherwise I’d be going around fixing them. Yeah. Yes. My husband would be just enough. So I think the first thing would be to focus on our team and make sure they're always heard. That they get the time they need. That they get their problems resolved on time by senior leadership, by HR, or by whoever is needed.Share on X I’ve noticed several situations where that’s been postponed, or the person doesn’t speak up, or they see that I’m busy, someone else is busy, and they just think, “We didn’t want to bother you.”  Then there comes a point where they’re not happy. That’s too late. We don’t want them to become unhappy. So if I had a magic wand, I would make sure that my team is heard. That’s the most important thing. Once they’re heard, then we can see if it’s solvable, if it’s not solvable, and so on.  Yeah. That’s very important because, ultimately, you said that you want a happy team. Because a happy team does great work. If people feel heard, they’re going to be happier and deliver.  And if somebody’s selling widgets, it’s the equivalent of saying, “I want my widget to be perfect.” For my widget to be perfect… Because we test for skill before we hire, so they already have the skill. They already have good teamwork. I think the environment that we’ve built is already there. We have those foundations for them to be able to apply themselves properly. But then, what if something happens along the way?  Yeah. Love it. I love this human-centric approach that you take—not just for your team, but also how you look at the human user experience, the people, to improve the lives of your customers by designing good products.  Yeah.  So if someone would like to take advantage of your services, or they have some friction that they want to alleviate, or they’re a government agency and they figure, “Well, maybe these guys down in Houston can help us,” where can they reach you, and how can they connect with you personally? It’s very easy. Tino.design is our website. There, you can schedule a call with me. Just choose any time on my calendar and speak with me or my right-hand person. Alexander is also available. Whichever time is more convenient, we can just have a conversation and see whether we can help or not. Okay. So you heard Anastasia Golovko, President and CEO of Tino Digital Agency, down in Houston. She really cares about your company, your user experience, and making sure your people aren’t frustrated using your technology. If you liked what you heard, reach out to them. Check out Tino.design. Book a call. If you enjoyed this episode, make sure you follow us on YouTube, give us a review on Apple Podcasts, and stay tuned because every week we have an exciting entrepreneur come and share their best-kept secret framework with us. So thanks, Anastasia, for coming, and thank you for listening. Thank you, Steve. Important Links: Anastasia's  LinkedIn Anastasia's  website

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