Podcasts about product discovery

Wir heißen Euch willkommen zu einer neuen Folge DPT. Heute mit Wolf Brüning, Lead UX Designer B2B bei OTTO.

In dieser Folge sprechen Dominique und Oliver über das Tracken von Nutzungsverhalten. Dabei geht es darum, warum Produktdaten oft ehrlicher sind als das, was Menschen in Interviews erzählen. Wer Nutzende befragt, bekommt wertvolle Eindrücke, aber auch gefärbte Antworten, denn kaum jemand zeigt sich gerne von einer schwachen Seite. Das Tracken von Nutzungsverhalten liefert die quantitative Ergänzung und zeigt, was im Produkt tatsächlich passiert. Diese Lücke begegnet Produktteams ständig, gerade beim Prüfen von Hypothesen aus der Product Discovery. Nicht jede Funktion braucht die gleiche Tiefe an Beobachtung. Bevor Teams Events, Klicks oder Feldänderungen erfassen, sollten sie klären, welche Entscheidung die Daten unterstützen sollen. Eine Terminverwaltung kann etwa festhalten, wie oft Termine angelegt, verschoben oder abgesagt werden, ohne jede einzelne Eingabe zu protokollieren. Tracking funktioniert am besten, wenn zuerst der gewünschte Outcome feststeht und daraus passende Kennzahlen abgeleitet werden. Verbindet man einzelne Ereignisse über eine Sitzung hinweg, werden Nutzungswege sichtbar. So lässt sich erkennen, wo Menschen aussteigen oder welche Muster sich wiederholen. Im Onlinehandel zeigt ein Funnel beispielsweise, an welchem Schritt des Bestellprozesses Kundschaft abspringt. Auch Kohorten helfen als Unterteilung, um so beispielsweise Unterschiede zwischen neuen und langjährigen Nutzenden zu verstehen. Natürlich gibt es einige Herausforderung beim Tracken: Problematisch wird es, wenn Teams zunächst möglichst viele Daten sammeln und erst danach nach passenden Fragen suchen. Ebenso riskant ist es, Daten nur zur Bestätigung bereits getroffener Entscheidungen auszuwählen. Beides erzeugt Kennzahlen, aber kaum belastbare Erkenntnisse. Auch intensive Nutzung bedeutet nicht automatisch Mehrwert. Sie kann ebenso auf umständliche Bedienung hinweisen. Korrelationen erklären zudem keine Ursachen, und aggregierte Kennzahlen können Unterschiede zwischen Nutzergruppen verdecken. Daten müssen deshalb immer im jeweiligen Kontext interpretiert werden, etwa unter Berücksichtigung saisonaler oder externer Effekte. Entscheidend ist am Ende, ob Tracking tatsächlich Entscheidungen verändert. Werden Daten regelmäßig erhoben, aber nie genutzt, lohnt sich der Aufwand kaum. Dominique und Oliver zeigen anhand vieler Beispiele, dass gute Produktentscheidungen meist aus der Kombination qualitativer und quantitativer Erkenntnisse entstehen. Gezielt eingesetztes Nutzungstracking unterstützt damit eine evidenzbasiertere Produktarbeit. Mehr unter: https://produktwerker.de/tracken-von-nutzungsverhalten/

Welcome to another edition of Retail Roundup. This is your weekly brief helping retail leaders decode the biggest shifts in retail, AI, and commerce. In this week's episode, Jeremy Goldman sits down with Kimberly Morgan (CEO & Founder, The Fashion Tech Exec) and Ricardo Belmar (Founder, Retail Razor) to unpack the trade pressures, AI shifts, and brand loyalty questions reshaping retail this week. INSIDE THE EPISODE: CANADA's TARIFFS ARE FORCING A DIVERSIFICATION RECKONING Canada's new tariffs are pushing brands to ask how much revenue they can safely risk on a single retail account like Ulta, Sephora, or Walmart. The panel argues that the same risk is already playing out with shoppers. Once someone trades down to a cheaper brand, they rarely trade back. AI IS MOVING UPSTREAM IN SHOPPING, AND NO ONE OWNS IT YET Shoppers are increasingly starting their search in ChatGPT or Claude instead of a retailer's own site, and Anthropic's new agent blueprints are accelerating that shift. The panel agrees there is no one platform anymore, and argues retailers need to focus on being discoverable everywhere, rather than trying to control where the search starts. ANTHROPOLOGIE's NIKE BET IS A MASTERCLASS IN CATEGORY EXPANSION A 30% jump in customers searching Anthropologie for sneakers led the retailer to add Nike, its largest footwear brand yet. The panel argues curated expansion like this builds loyalty, while growth without focus confuses shoppers. Listen above for the full conversation on the trends making us rethink retail this week.

In dieser Bonusfolge von UX Heroes teilt Markus Pirker zwei Gespräche, die erst nach Stopp der Aufnahme entstanden sind: mit Katja Busch, Coaching und Trainerin, und mit Julius Wuhnsen, Digital Creative Director bei TOWA. Es geht um den Wert von UX-Arbeit für Stakeholder und AI User Testing.Wer ist zu hören?Katja Busch ist Coaching und Trainerin für UX-Kommunikation, Gast in Episode 75. Julius Wuhnsen ist Digital Creative Director bei TOWA, Gast in Episode 88 zum Thema Design Sprints in B2B-Projekten.Für wen ist diese Folge relevant?Für UX-Professionals, die den Wert ihrer Arbeit gegenüber Stakeholdern greifbar machen wollen, und für alle, die wissen wollen, wie AI User Testing zugänglicher macht.Wie man UX-Wert für Stakeholder greifbar machtKatja und Markus sprechen darüber, warum "You are not the user" nicht reicht, es braucht auch "You are not the business". Fachjargon wirkt professionell, kommt aber selten an. Testergebnisse überzeugen mehr als Meinungen, und der erste Entwurf muss nie perfekt sein.AI macht User Testing für alle zugänglichJulius und Markus sprechen über Design Sprints als Abkürzung im Projektablauf und über neue AI-Funktionen von Userbrain: den AI Task Creator, der aus einer kurzen Beschreibung automatisch ein Testszenario erstellt, und ein Experiment, das aus einem Figma-Design User Stories generiert.Timestamps(00:29) Intro: Worum es in dieser Bonusfolge geht (02:38) "You are not the user. You are not the business." (08:08) Warum jeder im Unternehmen testen können sollte (10:27) Warum der erste Entwurf nie perfekt sein muss (14:16) Was ein Design Sprint ist und wie TOWA ihn anpasst (17:37) Der AI Task Creator live gezeigt (20:14) Warum AI User Testing für jeden zugänglich sein muss (22:29) Eine A/B-Test-Anekdote aus dem PrivatlebenKatja Buschs LinksKatjas LinkedInJulius Wuhnsens LinksJulius LinkedInTOWA WebsiteÄhnliche FolgenE75: Katja Busch über Stakeholder-Kommunikation und den Wert von UXE88: TOWA Digital Creative Director Julius Wuhnsen über agiles Testing: Von der Idee zum PrototypE80: UX Heroes Host Markus Pirker und Podcast Managerin Kendra Caspari werfen einen Blick hinter die Kulissen von UX HeroesDanke fürs ZuhörenIch hoffe, ihr konntet aus dieser Folge von UX Heroes konkrete Ideen für bessere User Experiences mitnehmen. Wenn ihr auch die nächsten Episoden nicht verpassen wollt, abonniert UX Heroes auf Spotify, Apple Podcasts oder in eurer Lieblings-Podcast-App.Eine Bewertung oder 5-Sterne-Rezension hilft uns sehr dabei, noch mehr Menschen zu erreichen, die sich für UX Design, UX Research, Product Discovery und bessere digitale Produkte interessieren.Habt ihr Fragen, Feedback oder Themenvorschläge? Dann schreibt uns gerne an ⁠podcast@userbrain.com⁠. Ihr findet mich auch auf LinkedIn unter Markus Pirker.Bessere UX-Entscheidungen mit UserbrainUX Heroes ist ein Podcast von Userbrain. Mit Userbrain könnt ihr schnelle und unkomplizierte User Tests durchführen, um herauszufinden, wie echte Nutzer:innen eure Website, App, euren Prototypen oder eure Produktidee erleben.Dank KI-Unterstützung erstellt ihr euren User Test in wenigen Minuten. Erste Ergebnisse sind innerhalb weniger Stunden verfügbar, damit ihr schneller erkennt, wo Nutzer:innen Probleme haben, was sie verwirrt und welche Verbesserungen wirklich wichtig sind.Userbrain hilft UX-Teams, Product Manager:innen, Marketer:innen und Gründer:innen dabei, bessere Entscheidungen auf Basis von echtem Nutzerfeedback zu treffen.Kostenlos mit Userbrain startenProbiert Userbrain aus und startet euren ersten User Test: Geht auf ⁠userbrain.com/podcast⁠, erstellt einen kostenlosen Account und bekommt die ersten 2 Tester:innen im Wert von 90 € geschenkt.

If you're asking when to kill a feature, you already lost.Product Manager Brian Orlando and Enterprise Business Agility Leader Om Patel break down why the "should we kill this feature" is really a trap, why the data won't save you, and why the CEO's pet project survives on rank - not merit. Our promise to you is, by the end, you'll have four questions to ask instead, and a framework for sunsetting features without extra helping of the political seppuku.Listen or watch as we discuss:• Why metrics are no good to help decide if/when to kill a feature• The "pet project" problem: some features survive on executive rank alone• How portfolio-level is the ONLY level that exposes opportunity cost• Why "ship it and see" with AI is hope-driven development, but with PR• The three phases every feature should live in: exploring, exploiting, or sunsetting/expiringFor product managers, team members, and other leaders tired of maintaining features nobody uses but nobody is willing to stick their neck out to deal with...#ProductManagement #ProductStrategy #TechnicalDebtCampbell's Law, RICE scoring framework, Lean Startup methodology, AA193 Product Lifecycle Phases, AA141 Minimum Viable ProductLINKSYouTube: https://www.youtube.com/@arguingagileSpotify: https://open.spotify.com/show/362QvYORmtZRKAeTAE57v3Apple: https://podcasts.apple.com/us/podcast/agile-podcast/id1568557596INTRO MUSICToronto Is My BeatBy Whitewolf (Source: https://ccmixter.org/files/whitewolf225/60181)CC BY 4.0 DEED (https://creativecommons.org/licenses/by/4.0/deed.en)

In this OFFBounds Summer Rewind, Paula Macaggi revisits her conversation with Lauren Steinberg, Chief Digital Officer at Loblaw, Canada's largest retailer. Lauren shares how Loblaw built its digital business like a startup within the enterprise, embraced the advantages of being a first mover, and scaled online grocery through experimentation, accountability, and technology designed to evolve with customer expectations.The conversation explores the future of grocery retail, from AI-powered personalization and composable commerce to search, loyalty, and agentic shopping. With Loblaw now bringing grocery shopping into ChatGPT, Lauren's insights offer a timely blueprint for how retailers can build strong digital foundations today and remain ready for the next wave of commerce innovation.

Was ist eine Customer Journey wirklich? In dieser Folge spricht Markus Pirker mit Christine Krimmel, CX-Beraterin und Co-Gründerin der CX Agentur, über Customer Journeys, Customer Lifecycle und warum Personas ohne Research bestenfalls eine Krücke sind.Wer ist Christine Krimmel?Christine ist Co-Gründerin der CX Agentur mit 18 Jahren CX-Erfahrung. 2013 gründete sie das CX Forum und unterrichtet CX an der WU Executive Academy. Sie war bereits in Folge 103 zu Gast, wo es um Sinus-Milieus ging.Warum das Thema jetzt relevant istWer "was ist eine Customer Journey" googelt, findet Modelle wie Awareness oder Retention. Christine nennt das Inside-Out gedacht: aus der Organisation, statt aus Kundensicht. Eine echte Journey beginnt beim Bedürfnis der Kund:innen und endet, wenn dieses erfüllt ist.Customer Journey vs. Customer LifecycleChristine unterscheidet zwischen einer einzelnen Journey, etwa der Reparatur eines Modems, und dem gesamten Customer Lifecycle. Anhand einer Anekdote zeigt sie, wie Interviews mit wenigen Kund:innen ein systematisches Serviceproblem aufdeckten, das in den Gesamtzahlen unterging.Warum reichen Personas allein nicht aus?Personas ohne echte Gespräche sind laut Christine bestenfalls eine Krücke. Sie empfiehlt sechs bis acht Interviews, um relevante Themen zu identifizieren, bevor man in die Breite geht.Key TakeawaysEine Customer Journey beginnt beim Bedürfnis der Kund:innen, nicht bei internen Prozessen.Klassische Modelle wie Awareness sind Inside-Out gedacht.Timestamps(03:53) Kundenbedürfnisse und die Customer Journey(09:40) Root Cause Analysis und deren Bedeutung(12:14) Qualitative Interviews zur Verbesserung der Customer Journey(15:04) Strategische Ansätze zur Optimierung der Customer Journey(20:17) Mindset-Shift von Inside Out zu Outside In(27:15) Personas und Customer Journeys(31:46) Der erste Schritt zur Outside-in-Perspektive(41:17) Verantwortung für die Customer ExperienceChristines LinksChristines LinkedInCX Agentur WebsiteÄhnliche FolgenE103: Christine Krimmel über Sinus-Milieus und irrationale menschliche Natur in der CXE58: Manuel Schnell über Kelags Erfolgsrezept für 98% KundenzufriedenheitMarc Busch über strukturierte Daten, SUS, NPS und KI-Interviews im UX ResearchDanke fürs ZuhörenIch hoffe, ihr konntet aus dieser Folge von UX Heroes konkrete Ideen für bessere User Experiences mitnehmen. Wenn ihr auch die nächsten Episoden nicht verpassen wollt, abonniert UX Heroes auf Spotify, Apple Podcasts oder in eurer Lieblings-Podcast-App.Eine Bewertung oder 5-Sterne-Rezension hilft uns sehr dabei, noch mehr Menschen zu erreichen, die sich für UX Design, UX Research, Product Discovery und bessere digitale Produkte interessieren.Habt ihr Fragen, Feedback oder Themenvorschläge? Dann schreibt uns gerne an podcast@userbrain.com. Ihr findet mich auch auf LinkedIn unter Markus Pirker.Bessere UX-Entscheidungen mit UserbrainUX Heroes ist ein Podcast von Userbrain. Mit Userbrain könnt ihr schnelle und unkomplizierte User Tests durchführen, um herauszufinden, wie echte Nutzer:innen eure Website, App, euren Prototypen oder eure Produktidee erleben.Dank KI-Unterstützung erstellt ihr euren User Test in wenigen Minuten. Erste Ergebnisse sind innerhalb weniger Stunden verfügbar, damit ihr schneller erkennt, wo Nutzer:innen Probleme haben, was sie verwirrt und welche Verbesserungen wirklich wichtig sind.Userbrain hilft UX-Teams, Product Manager:innen, Marketer:innen und Gründer:innen dabei, bessere Entscheidungen auf Basis von echtem Nutzerfeedback zu treffen.Kostenlos mit Userbrain startenProbiert Userbrain aus und startet euren ersten User Test: Geht auf userbrain.com/podcast, erstellt einen kostenlosen Account und bekommt die ersten 2 Tester:innen im Wert von 90 € geschenkt.

Wie hilft Anthropologie dabei, bessere digitale Produkte zu bauen? Markus Pirker spricht mit Angela Prendl von der REWE International AG über ethnografisches Research im Konzern, den Relaunch des BILLA Online-Shops und warum Neugier für Researcher:innen entscheidend ist.Wer ist Angela Prendl?Angela kam über Grafik- und Webdesign zur Kultur- und Sozialanthropologie sowie zur Wissenschaftsforschung in Wien. Seit 2023 leitet sie bei REWE International User Research für eine Produktfamilie, die digitale Lösungen für BILLA, BIPA, PENNY, ADEG und IKI baut.Für wen ist diese Folge relevant?Für UX Researcher:innen und Product Manager:innen in großen Organisationen: Wie skaliert man Research bei vielen Stakeholdern, und wie bringt man Ethnografie in den Konzernalltag? Angelas Team pflegt dafür ein Research Repository statt einzelner Reports.Der Relaunch des BILLA Online-ShopsVom ethnografischen Stakeholder-Mapping über interne User Tests bis zu einem Fragebogen entlang der User Journey (Discovery, Checkout, Order Handling): Rund 80 Prozent der Kund:innen füllten den Fragebogen komplett aus. Live-Feedback half, UX-Probleme früh zu reparieren.Key TakeawaysEthnografie strukturiert das Verstehen von Stakeholder-Bedürfnissen.Ein Research Repository macht Daten für alle jederzeit zugänglich.User Journey Mapping strukturiert Fragebögen entlang echter Schritte.80 Prozent Rücklaufquote zeigen die Kraft von Kundenbindung.UX Paper Cuts lassen sich durch Live-Feedback früh reparieren.Neugier und Hartnäckigkeit sind zentrale Skills für Researcher:innen.Timestamps(00:00) Vom Grafikdesign zur Anthropologie(05:56) Angelas Rolle im Research bei REWE(16:24) Der Relaunch des BILLA Online-Shops(20:01) Der Fragebogen entlang der User Journey(41:32) Rat: neugierig bleibenAngelas LinksAngelas LinkedInAngelas Buchempfehlung und Ressourcen99% Invisible PodcastMismatch: How inclusion shapes design - Kat HolmesCreative research methods: A practical guide - Helen KaraScience in action: How to follow scientists and engineers through society - Bruno LatourAfter method: Mess in social science research - John LawStar, S. L. (1990). Power, Technology and the Phenomenology of Conventions: On being Allergic to Onions. The Sociological Review, 38(1_suppl), 26-56.Ähnliche FolgenE101: Konrad Maruschewski über iteratives User TestingE97: Manuel Schnell über Kundenfeedback als ErfolgsfaktorE95: Gerhard Kühne über UX im Konzern bei OTTODanke fürs ZuhörenIch hoffe, ihr konntet aus dieser Folge von UX Heroes konkrete Ideen für bessere User Experiences mitnehmen. Wenn ihr auch die nächsten Episoden nicht verpassen wollt, abonniert UX Heroes auf Spotify, Apple Podcasts oder in eurer Lieblings-Podcast-App.Eine Bewertung oder 5-Sterne-Rezension hilft uns sehr dabei, noch mehr Menschen zu erreichen, die sich für UX Design, UX Research, Product Discovery und bessere digitale Produkte interessieren.Habt ihr Fragen, Feedback oder Themenvorschläge? Dann schreibt uns gerne an podcast@userbrain.com. Ihr findet mich auch auf LinkedIn unter Markus Pirker.Bessere UX-Entscheidungen mit UserbrainUX Heroes ist ein Podcast von Userbrain. Mit Userbrain könnt ihr schnelle und unkomplizierte User Tests durchführen, um herauszufinden, wie echte Nutzer:innen eure Website, App, euren Prototypen oder eure Produktidee erleben.Dank KI-Unterstützung erstellt ihr euren User Test in wenigen Minuten. Erste Ergebnisse sind innerhalb weniger Stunden verfügbar, damit ihr schneller erkennt, wo Nutzer:innen Probleme haben, was sie verwirrt und welche Verbesserungen wirklich wichtig sind.Userbrain hilft UX-Teams, Product Manager:innen, Marketer:innen und Gründer:innen dabei, bessere Entscheidungen auf Basis von echtem Nutzerfeedback zu treffen.Kostenlos mit Userbrain startenProbiert Userbrain aus und startet euren ersten User Test: Geht auf userbrain.com/podcast, erstellt einen kostenlosen Account und bekommt die ersten 2 Tester:innen im Wert von 90 € geschenkt.

Artificial intelligence is transforming retail, but Jamie Lim believes most companies are starting in the wrong place. As the second-generation CEO of Scanteak, a retail group with more than 10 brands and over 200 stores across Singapore and Taiwan, Jamie has spent two decades embracing technology not because it's new, but because it solves real business problems. From automating delivery scheduling to experimenting with AI-powered demand forecasting, she shares candid lessons on what worked, what didn't, and why failure is often the price of meaningful innovation.In this episode of OFFBounds, Paula Macaggi and Jamie explore how retailers should evaluate emerging technologies, why AI should remain an enabler rather than the end goal, and why authentic human connections will become even more valuable in an increasingly artificial world. They also discuss leading through uncertainty, building a culture that embraces experimentation, and why the best innovation strategy is surprisingly simple: don't shop for technology—shop for problems worth solving.

Unmoderierte Usability-Tests funktionieren nur mit sauber strukturierten Daten. Host Markus Pirker spricht mit UX Researcher Marc Busch darüber, warum Struktur bei unmoderierten Tests entscheidend ist, welche UX-Metriken zählen und warum seine selbstgebauten AI-moderierten Interviews schlechter abschnitten als eine simple Umfrage.Wer ist Marc Busch?Marc Busch ist UX Researcher mit fast 15 Jahren Erfahrung und Hintergrund in Psychologie. Er hat über 1.000 moderierte UX-Tests und Interviews durchgeführt, unterrichtet Research-Methoden an Universitäten und ist Autor von "UX Research: Building Blocks for Impact in the Age of AI".Warum Struktur bei unmoderierten User Tests entscheidend istMarc erklärt, dass unmoderierte Tests darauf angewiesen sind, strukturierte Daten zu liefern. Ohne klare Struktur bleibt am Ende nur eine unbelegbare Zusammenfassung, der niemand vertraut.Für wen ist diese Folge relevant?Die Folge richtet sich an UX-Designer:innen, UX-Researcher:innen, UX-Writer:innen und Product Manager:innen mit der Frage: Wie liefern unmoderierte Tests belastbare, nachvollziehbare Ergebnisse?Sind AI-moderierte Interviews schlechter als eine Umfrage?Marc hat monatelang ein eigenes AI-moderiertes Interview-Tool gebaut und mit 60 Testpersonen getestet. Sein Fazit: Ohne nachvollziehbare Konversation bleibt eine AI-Zusammenfassung eine Blackbox – oft schwächer als eine Survey.Welche UX-Metrik hat wirklich Business-Impact?Trotz aller Kritik setzt Marc auf die System Usability Scale kombiniert mit dem Net Promoter Score – beide genießen breite Anerkennung und lassen sich gut vergleichen.Timestamps(00:00) Intro(01:51) Größtes Learning aus 1.000+ Tests(02:41) Strukturierte vs. unstrukturierte Interviews(09:02) Aufbau eines Test-Scripts(12:56) Warum Time on Task oft wenig aussagt(19:52) SUS und NPS als wichtigste Metriken(25:15) Strukturierte Daten bei unmoderierten Tests(31:04) Das Experiment: AI-moderierte InterviewsMarcs LinksMarcs LinkedInArtikel zu AI-moderierten InterviewsUserbrain Webinar: AI as your UX Research AssistantMarcs BuchempfehlungBenchmarking the User Experience - Jeff SauroÄhnliche FolgenE101: Konrad Maruschewski über iteratives User TestingE97: Manuel Schnell über KI im Usability-TestingE92: Simon Meisinger über User Testing im TeamDanke fürs ZuhörenIch hoffe, ihr konntet aus dieser Folge von UX Heroes konkrete Ideen für bessere User Experiences mitnehmen. Wenn ihr auch die nächsten Episoden nicht verpassen wollt, abonniert UX Heroes auf Spotify, Apple Podcasts oder in eurer Lieblings-Podcast-App.Eine Bewertung oder 5-Sterne-Rezension hilft uns sehr dabei, noch mehr Menschen zu erreichen, die sich für UX Design, UX Research, Product Discovery und bessere digitale Produkte interessieren.Habt ihr Fragen, Feedback oder Themenvorschläge? Dann schreibt uns gerne an podcast@userbrain.com. Ihr findet mich auch auf LinkedIn unter Markus Pirker.Bessere UX-Entscheidungen mit UserbrainUX Heroes ist ein Podcast von Userbrain. Mit Userbrain könnt ihr schnelle und unkomplizierte User Tests durchführen, um herauszufinden, wie echte Nutzer:innen eure Website, App, euren Prototypen oder eure Produktidee erleben.Dank KI-Unterstützung erstellt ihr euren User Test in wenigen Minuten. Erste Ergebnisse sind innerhalb weniger Stunden verfügbar, damit ihr schneller erkennt, wo Nutzer:innen Probleme haben, was sie verwirrt und welche Verbesserungen wirklich wichtig sind.Userbrain hilft UX-Teams, Product Manager:innen, Marketer:innen und Gründer:innen dabei, bessere Entscheidungen auf Basis von echtem Nutzerfeedback zu treffen.Kostenlos mit Userbrain startenProbiert Userbrain aus und startet euren ersten User Test: Geht auf userbrain.com/podcast, erstellt einen kostenlosen Account und bekommt die ersten 2 Tester:innen im Wert von 90 € geschenkt.

Convenience retail is evolving beyond speed and accessibility. In this episode of OFFBounds, Paula Macaggi sits down with Anushree Khosla, Managing Director of 7-Eleven Singapore, to explore how one of the world's most recognizable retail brands is transforming its stores into destinations for discovery. Inspired by the success of convenience retail in markets like Japan, 7-Eleven Singapore is rethinking everything from store design and food innovation to viral products, collectibles, and customer experience to give consumers a reason to come back again and again.Anushree also shares lessons from her career across India, Hong Kong, and Singapore, explaining why understanding consumer behavior is more important than ever and how leaders can build organizations that continuously adapt to changing customer expectations. The conversation offers valuable insights into retail transformation, merchandising strategy, convenience retail, and what it takes to stay relevant in one of the world's fastest-moving industries.

Ashley Kechter is the Global President at Vuori, a California-born performance apparel (commonly referred to as Athleisure) brand. She joins Daniel in partnership with Shoptalk Europe, where she was one of the star speakers, to discuss the rapid rise of the company. She explains how Vuori combines product quality, community and a distinctive brand identity with an ambitious international expansion strategy—while ensuring that the brand remains locally relevant in every new market. In this episode, we discuss: How Vuori grew from a California garage into a global premium apparel brand Why product quality and a "fabric-first" approach remain central to its success The challenge of protecting brand DNA while adapting to local markets How stores help Vuori build community and strengthen customer relationships The changing role of search, AI and conversational commerce in product discovery Ashley's leadership philosophy and why senior leaders must stay close to younger teams and new ideas More Learn more about Shoptalk Europe: https://europe.shoptalk.com/home  And their upcoming Shoptalk Luxe (Abu Dhabi, Feb '27): https://luxe.shoptalk.com/home  Audio Mixing by Modest Ferrer Voice Acting by Jason Martorell Parsekian Disclaimer The views and opinions expressed in this podcast are those of the individual guests and do not necessarily reflect the views of The FMCG Guys (Dwyer Partners SL) or its partners. The FMCG Guys make no representations or warranties about the accuracy, completeness, or suitability of any information discussed, and accept no responsibility for any decisions or outcomes based on this content. Listeners are encouraged to seek their own professional advice before acting on any of the topics covered.  

Has AI really changed Amazon search? Learn what Rufus or Alexa for Shopping means for keywords, product research, and finding new Amazon opportunities before your competitors do. Has Rufus now called Alexa for Shopping completely changed the way shoppers search on Amazon, or are sellers overreacting to the AI hype? In this episode of the AM/PM Podcast, Bradley Sutton records from the Maldives for part one of his annual Maldives Honeymoon Launch series and breaks down what has changed, what has not changed, and why Amazon sellers should still care deeply about keywords, indexing, and traditional search. Bradley explains that AI has absolutely changed e-commerce, but not necessarily in the way many people think. Rufus (Quick note: Rufus is now rebranded as Alexa for Shopping) can make the shopping journey easier, especially when customers are looking for solutions rather than a specific product. But when shoppers already know what they want, traditional Amazon search is still one of the fastest paths to purchase. Bradley also explains how optimizing for Amazon search can help sellers optimize for Rufus, using real examples of products missing important keywords and disappearing from both search results and Rufus recommendations. The episode then shifts into product research strategies sellers can use to find new opportunities in 2026 and beyond. Bradley walks through keyword-based research using title density, search volume, review count, and sales filters, while also comparing those methods against raw AI suggestions that can produce unreliable data. He also explains how sellers can use free Amazon tools, such as Brand Analytics and Opportunity Explorer, to uncover low-conversion keywords, weakly competitive products, and products shoppers are searching for but not finding. Bradley also shares creative ways to discover product ideas outside of standard research tools, including spotting trends on Etsy and Pinterest, applying saturated products to new niches, taking advantage of quick-moving pop culture trends, finding abandoned “zombie listings,” and using old-school product filters that still work today. The big takeaway: AI matters, Rufus matters, but the fundamentals of Amazon product research and keyword strategy are far from dead. Sellers who combine new AI awareness with proven data-driven research methods can still find serious opportunities before the market gets crowded. For part two of this Maldives Honeymoon Launch series, head over to the Serious Sellers Podcast and listen to episode 750. Bradley goes deeper into keyword research, launch strategy, and how to get new products ranking on page one within days: https://h10.me/750 In episode 526 of the AM/PM Podcast, Bradley covers: 00:00 - Introduction 00:35 - The Maldives Honeymoon Launch Series 02:25 - How AI Has Changed E-Commerce 04:54 - Why Sellers Are Overreacting to Rufus/Alexa for Shopping Hype 08:58 - Product Discovery vs. Solution Discovery 11:26 - Why Keyword Research Still Matters 13:53 - Are Prime Members Using Rufus/Alexa for Shopping Instead of Search? 16:14 - Amazon Search Query Performance Data 18:01 - Product Research Strategies for 2026 22:28 - Using Amazon's Free Product Research Tools 24:12 - Creative Ways to Find Product Opportunities 27:47 - Finding Zombie Listings and Old-School Opportunities

Dominique und Tim sprechen in dieser Folge über die Methode des Experience Market und darüber, was dieses Großgruppenformat in der Produktentwicklung und der Product Discovery anderes bewirken kann als viele andere "klassische" Austauschformate. In vielen Unternehmen sitzen Product Owner, Entwickler:innen, UX und Führungskräfte zwar regelmäßig zusammen in Meetings oder Reviews. Und doch bleiben Erfahrungen oft in einzelnen Teams hängen. Dort setzt der Experience Market an. Menschen sprechen strukturiert über echte Situationen aus ihrem Alltag und machen sichtbar, was funktioniert hat, wo Unsicherheit entsteht und welche Probleme sich über Teams hinweg wiederholen. Der Experience Market lebt davon, dass viele Perspektiven gleichzeitig zusammenkommen. Dominique beschreibt das anhand der Product Owner Days in Köln, bei denen im Rahmen einer Abendveranstaltung rund 200 Teilnehmende gemeinsam an verschiedenen Themenstationen gearbeitet haben. Statt Frontalvorträgen oder vorbereiteten Präsentationen entstehen Gespräche direkt an großen Boards. Dort sammelten die Gruppen ihre Erfahrungen zu Themen wie Outcome-Orientierung, Zusammenarbeit oder Product Ownership. Entscheidend ist dabei, dass nicht nur Erfolge sichtbar werden. Auch gescheiterte Ansätze oder schwierige Situationen gehören bewusst dazu. Gerade dadurch entstehen oft die wertvollsten Diskussionen. Wichtig und spannend ist beim Experience Market vor allem die Dynamik zwischen den einzelnen Gruppen. Menschen wechseln während des Formats in drei Runden zwischen verschiedenen Stationen und bringen neue Gedanken mit. Eine Gruppe ergänzt, was die vorherige begonnen hat. Andere widersprechen oder erweitern bestehende Perspektiven aus ihrer eigenen Praxis. Dadurch entsteht kein starres Ergebnisdokument, sondern ein gemeinsamer Erfahrungsraum. Viele Organisationen unterschätzen, wie viel Wissen bereits intern vorhanden ist. Häufig fehlt lediglich ein Rahmen, in dem dieses Wissen sichtbar und anschlussfähig wird. Tim beschreibt dabei seine Beobachtung, die viele Produktmenschen kennen mögen. In klassischen Workshops sprechen oft dieselben Personen. Beim Experience Market entsteht dagegen Bewegung im Raum und damit auch Bewegung im Denken. Die Gastgeber:innen der einzelnen Stationen moderieren nicht im klassischen Sinn. Sie sorgen dafür, dass Gespräche entstehen, Gedanken dokumentiert werden und andere Gruppen später nachvollziehen können, warum bestimmte Themen relevant waren. Genau diese Verbindung aus Austausch, Sichtbarkeit und gemeinsamer Reflexion macht den Experience Market für größere Produktorganisationen interessant. Besonders relevant wird der Experience Market dann, wenn Unternehmen ihre Produktarbeit stärker miteinander verzahnen wollen. Viele Teams kämpfen mit ähnlichen Herausforderungen, ohne voneinander zu lernen. Diskussionen über Outcome Orientierung, Stakeholder oder Produktstrategie finden parallel statt, aber oft isoliert voneinander. Der Experience Market schafft dafür einen gemeinsamen Raum. Nicht als einmaliges Event mit Hochglanzcharakter, sondern als Arbeitsformat, das Menschen miteinander ins Gespräch bringt und Erfahrungen greifbar macht. Ältere Folgen, auf die im Gespräch verwiesen wird: - Mit "Jobs to Be Done"-Interviews zum besseren Kundenverständnis (JTBD) - Welche Aufgaben gehören zur Product Owner Rolle? Product Ownership Context Canvas (POCC) Habt ihr schonmal vom Experience Market gehört oder sogar teilgenommen? Was sind eure Erfahrungen und Meinungen zu diesem Format? Teilt eure Geschichten und Erfahrungen doch mit uns und der Community. Hinterlasse gerne einen Kommentar unterm Blog-Artikels oder auf unserer Produktwerker LinkedIn-Seite.

In this Marketecture Live session, Harry Tong from PubMatic and Georgie Haig from MiQ demonstrate how ADCP and AI agents can automate campaign setup, audience discovery, supply recommendations, and media activation in seconds instead of days. They also explore how agentic workflows and open standards are shaping the future of programmatic advertising.  Takeaways  ADCP standardizes communication and workflows across the advertising ecosystem.  PubMatic and MiQ demonstrated live AI-powered media buying workflows.  Campaign setup times were reduced from days to seconds.  MiQ reported up to 98% time savings in campaign setup testing.  Human approval and transparency remain central to agentic workflows.  Existing RTB infrastructure is being augmented, not replaced.  AI agents can automate discovery, setup, optimization, and reporting.  Open standards like ADCP help scale agentic advertising collaboration.  Buyers gain more visibility into fees and optimization opportunities.  Early testing and experimentation create long-term competitive advantages.  Chapters  00:00 Introduction to ADCP and Agentic Advertising  01:21 Harry Tong and Georgie Haig Introductions  02:23 What ADCP Actually Means  03:18 Why the Current RTB Ecosystem Needs Improvement  04:21 ADCP vs MCP vs A2A Explained  05:38 How MiQ Is Using ADCP Today  07:18 MiQ's 98% Campaign Setup Time Savings  08:35 Overview of the Live Demo Workflow  10:18 Connecting Claude to PubMatic's Agentic OS  11:26 AI-Powered Supply and Product Discovery  13:17 Audience Discovery and Signal Recommendations  14:39 Creating the Media Buy with AI  15:48 Campaign Goes Live Inside PubMatic  16:12 Shrinking Multi-Day Workflows into Seconds  16:49 Future Features and Automated Optimizations  18:39 Biggest Learnings from Testing ADCP  19:28 Will Agentic Advertising Become Mainstream?  20:28 Final Thoughts on the Future of AI in Advertising Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of In Demand, Asia and Kim dive into product management. They cover problem space versus solution space and why so many founders and product teams build features based on assumptions, customer requests, or competitive pressure without doing the discovery work necessary to understand what users are actually trying to accomplish. This episode is a masterclass on how to avoid building features nobody uses and how to create products that customers genuinely adopt, value, and pay for. Got a question you'd like Asia to unpack on the podcast? Record a voicemail here. Links:  DemandMaven Subscribe to The Work by DemandMaven on Substack The Lean Product Playbook by Dan Olsen Playing to Win: How Strategy Really Works  Continuous Discovery Habits by Theresa Torres Chapters (00:01:00) - Product discovery and idea validation.(00:03:15) - Why understanding the problem deeply creates better product decisions.(00:06:05) - What product discovery actually means in practice.(00:14:40) - Observational research and watching users interact with products.(00:16:15) - User stories versus hypothetical behavior.(00:19:50) - An example of the user stories you might look for on a SaaS reporting function.(00:23:45) - How support tickets can help lead you to the areas you should start working on.(00:29:00) - Castos example: uncovering integration problems through user stories.(00:37:45) - Theresa Torres and the Continuous Discovery approach.(00:44:30) - How discovery creates clearer product strategy and positioning.

Agentic commerce is here. And if you work in retail, ecommerce or commerce tech, this is one you need to hear. Recorded live at Shoptalk, Katie Street sits down with leaders from Google Cloud, Commerce, EPAM and PayPal to unpack how AI agents are changing the way people discover, compare and buy products online. We get into Universal Commerce Protocol, AI-driven product discovery, agentic checkout, payments, identity, infrastructure and why your product data is about to become one of the most important parts of your business. Because the way people shop is changing fast. Customers are no longer just typing basic product searches into Google. They are asking detailed, conversational questions. And increasingly, agents are doing the discovery, comparison and decision-making for them. So if your data is messy, your inventory is out of date, your fulfilment information is missing or your checkout experience cannot support these new journeys, you risk being invisible. In this episode, we cover what retailers need to do now to stay discoverable, shoppable and competitive in an AI-driven world. Featuring: Kapil Dabi, Americas Market Lead for Retail and Consumer, Google Cloud Sharon Gee, SVP Product, AI & Feedonomics, Commerce Brian Gilmore, Global Head of Commerce GTM, EPAM Nixon Dinh, Director of Product Management, PayPal Hosted by Katie Street 00:00 Why agentic commerce matters now 01:11 Meet the speakers 01:47 What is Universal Commerce Protocol? 04:47 How UCP compares to other commerce protocols 09:16 What is Gemini Enterprise for Customer Experience? 13:17 How AI-driven discovery is changing retail 15:18 Why product data is now everything 18:45 Why agents don't shop like humans 21:30 Why context, fulfilment and policy data matter 23:37 Do retailers need to replatform? 27:42 Payments, identity and trust in an agentic world 30:35 Which brands are already getting ahead? 33:51 What retailers should do in the next 3–6 months 37:50 Final thoughts: get your robots ready Agentic commerce is already happening, and the brands that get their data, infrastructure and customer experience ready now will be the ones that win. Subscribe to the podcast: Spotify: https://open.spotify.com/show/2UUIgMdZ6FdSCrux5BY7PI?si=c48bdbecb5be4a6e Apple Podcasts: https://podcasts.apple.com/us/podcast/marketing-in-the-madness/id1688996981 Connect with us: Kapil Dabi LinkedIn: https://www.linkedin.com/in/kapildabi/ Sharon Gee LinkedIn: https://www.linkedin.com/in/sharongeenyc/ Brian Gilmore LinkedIn: https://www.linkedin.com/in/briangilmore2/ Nixon Dinh LinkedIn: https://www.linkedin.com/in/nixon-dinh/ Katie Street LinkedIn: https://www.linkedin.com/in/katiestreet/ Instagram: https://www.instagram.com/streetmate/ Marketing in the Madness LinkedIn: https://www.linkedin.com/company/marketing-in-the-madness-podcast/ Instagram: https://www.instagram.com/marketinginthemadness/ Street Agency https://street.agency/ https://www.instagram.com/street.agency/ https://www.linkedin.com/company/streetagency/

Search is evolving, AI is reshaping discovery, and consumers are relying on creators more than ever to guide their decisions. So how do the BEST brands make the most of this shift? In this episode, Dave Yovanno sits down with Seth Hagerty, Senior Director of Performance Marketing at Best Buy, to explore how one of retail's most iconic brands is adapting to a new era of customer discovery. Seth shares how Best Buy is approaching creators, affiliates, AI, attribution, retail media, and more — and why partnerships are no longer just a lower-funnel tactic, but a foundational part of the modern marketing mix. Seth explains why today's most effective brands are shifting from control to influence, learning to let trusted partners help tell their story in more authentic ways. He also breaks down how Best Buy thinks about measurement, incrementality, and customer acquisition in a world where the path to purchase is more fragmented than ever.Discover why leading brands stay ahead by evolving with their customers and redefining when and where discovery happens.This podcast episode was produced by Quill.

AI agents are reshaping product discovery for 2.2 trillion monthly products. Katie Moro, Director of Managed Services at Productsup, brings 15 years of e-commerce optimization experience from Channel Intelligence to Google Merchant Center to scaling enterprise product data strategies. She reveals the critical readiness KPI framework for AI commerce platforms, explains why exposing entire catalogs creates measurement chaos, and demonstrates how structured persona-based segmentation drives measurable results at the SKU level.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Every PM is scrambling to learn AI tools - but is that a trap? In this episode of Arguing Agile, hosts Brian Orlando and Om Patel summarize Shreyas Doshi's provocative article "Why Product Sense Is the Only Product Skill That Will Matter in the AI Age." Using the article as background for our discussion, we explore whether AI tools like Claude, Cursor, and NotebookLM are genuine superpowers for product managers or just the new baseline that everyone will have access to.https://shreyasdoshi.substack.com/p/why-product-sense-is-the-only-productWe've structured this episode around several key debates, including:

AI isn't just speeding up coding. It's starting to change how teams work, what they build, and even who needs to be involved. In this episode, Brian and Hunter separate real impact from hype and explore what's already shifting inside teams.   Overview AI tools are improving fast, but what does that actually mean for teams doing the work? In this episode, Brian Milner sits down with Hunter Hillegas, CTO of Mountain Goat Software, to explore how AI is being used today inside real software teams. They dig into where these tools are genuinely accelerating work, from coding agents and automated testing to analyzing large data sets and reducing friction in everyday tasks. They also unpack the growing shift from writing code to reviewing it, and what that means for developers and team dynamics. At the same time, they address the gap between hype and reality. Where does AI perform well, and where does it still fall short? What happens when adoption is pushed top-down without clarity? And how might AI start to reshape roles, collaboration, and expectations across a team? This is a practical, honest look at what's changing right now, where to start if you're new to these tools, and how to think about AI as part of your team without losing sight of how real teams actually work.   References and resources mentioned in the show:   Hunter Hillegas Mountaingoat Software's AI Toolkit #82: The Intersection of AI and Agile with Emilia Breton #169: Building Practical AI for Agile Teams with Hunter Hillegas #175: When AI Makes Agile Teams Worse with Hunter Hillegas AI Doesn't Eliminate Agile Teams — It Increases the Need for Great Ones by Mike Cohn How to Use AI for Product Discovery and Writing Better User Stories by Mike Cohn Subscribe to the Agile Mentors Podcast    Want to get involved? This show is designed for you, and we'd love your input.   Enjoyed what you heard today? Please leave a rating and a review. It really helps, and we read every single one.   Got an Agile subject you'd like us to discuss or a question that needs an answer? Share your thoughts with us at podcast@mountaingoatsoftware.com This episode's presenters are: Brian Milner is a Certified Scrum Trainer®, Certified Scrum Professional®, Certified ScrumMaster®, and Certified Scrum Product Owner®, and host of the Agile Mentors Podcast training at Mountain Goat Software. He's passionate about making a difference in people's day-to-day work, influenced by his own experience of transitioning to Scrum and seeing improvements in work/life balance, honesty, respect, and the quality of work.  Hunter Hillegas is the Chief Technology Officer at Mountain Goat Software. With over 20 years of experience in software development, product ownership, and team leadership, he leads the creation of tools like the AI Toolkit and Team Home to support effective, engaging learning experiences. Hunter lives in Santa Barbara, California, with his wife and their dog Enzo.

AI is changing how shoppers discover products, and Amazon sellers need to pay attention now. In this episode, Scott breaks down the rise of AI-driven product discovery through tools like Amazon Rufus and ChatGPT, and explains why visibility in AI answers is becoming a new layer of competition for sellers. He unpacks Amazon's Cosmo framework, including the key product-understanding questions AI systems use to evaluate listings, and introduces SmartScout's new tools built for this shift: the Amazon AI Scorecard and the AI Visibility Monitor. Scott explains how the scorecard audits your listing content across bullets, A+ content, and images to measure how well your product answers AI-relevant questions. He also shows how the visibility monitor tracks how often your products appear in ChatGPT recommendations over time, even when AI responses are inconsistent. Scott also shares how sellers can improve AI visibility through better listing content, stronger online presence, and a more intentional long-term strategy for LLM discovery. If you want to know whether your brand is winning the AI visibility race in your category, this episode lays out the framework. Episode Notes: 02:00 - Amazon Rufus adoption and what it could mean for product discovery 03:10 - ChatGPT shopping behavior and why AI shopping queries still matter 04:06 - Why AI shopping accuracy is not perfect yet, but still important 04:34 - Amazon Cosmo and the product questions AI systems use to understand listings 07:00 - The shift from keyword-only thinking to AI-ready product content 07:32 - SmartScout's Amazon AI Scorecard and how it evaluates listing quality 08:10 - How the scorecard creates a feedback loop for continuous improvement 10:23 - SmartScout's AI Visibility Monitor and tracking LLM recommendation share 12:40 - Why ChatGPT results are non-deterministic and how visibility percentage helps 14:53 - Creatine example: measuring AI visibility by niche and query type 16:23 - How to improve AI visibility through listing content and off-Amazon signals 17:44 - Why this matters for sellers, brands, and teams in 2026   Related Post Top 10 Amazon FBA Reimbursement Services to Recover Your Funds   Scott's Links: LinkedIn: linkedin.com/in/scott-needham-a8b39813 X: @itsScottNeedham Instagram: @smartestseller YouTube: www.youtube.com/@smartestamazonseller2371 Newsletter: https://www.smartscout.com/newsletter-sign-up • • Blog: https://www.smartscout.com/blog

In this episode, we dive into why most online stores lose money because of poor search bars and how to fix it.Paulius Nagys, Co-founder of LupaSearch, explains how modern shoppers have very little patience when they can't find what they want. He shares how AI-powered search understands what a person actually means, even if they use the wrong words.You will also learn how to use search data to predict what customers will want next and how to turn your search bar into a powerful tool for more sales.Topics discussed in this episode:  How the "patience gap" kills revenue. Why keyword search is now a commodity. What AI does to match search intent. How search bars act as feedback channels. Why vector search beats simple keywords. How seasonal trends impact search results. What complex catalogs need to convert. Why "symptom search" helps pharmacies sell How real data simulations prove ROI. What the future holds for AI adoption. Links & Resources Website: https://www.lupasearch.com/ LinkedIn: https://www.linkedin.com/company/lupasearchX/Twitter: https://x.com/LupaSearchGet access to more free resources by visiting the show notes at https://tinyurl.com/mw2nekyxI'd love your feedback. Tap the the link to send me a text.______________________________________________________ LOVE THE SHOW? HERE ARE THE NEXT STEPS! Follow the podcast to get every bonus episode. Tap follow now and don't miss out! Rate & Review: Help others discover the show by rating the show on Apple Podcasts at https://tinyurl.com/ecb-apple-podcasts Join our Free Newsletter: https://newsletter.ecommercecoffeebreak.com/ Support The Show On Patreon: https://www.patreon.com/EcommerceCoffeeBreak Partner with us: https://ecommercecoffeebreak.com/partner-with-us/

Phillip Jackson's media company, Future Commerce, focuses on trends and developments in business.The company surveyed U.S. shoppers during the 2025 holiday season. He says one insight stood out: when AI recommends a product, 77% of respondents leave the platform to buy on the brand's site.Phillip first appeared on the podcast in early 2024. In this, his latest episode, he addresses the downsides of optimized ecommerce sites, the outlook of traditional search, and, yes, the rise of autonomous shopping agents.For an edited and condensed transcript with embedded audio, see: https://www.practicalecommerce.com/ai-product-discovery-drives-brand-trafficFor all condensed transcripts with audio, see: https://www.practicalecommerce.com/tag/podcasts******The mission of Practical Ecommerce is to help online merchants improve their businesses. We do this with expert articles, podcasts, and webinars. We are an independent publishing company founded in 2005 and unaffiliated with any ecommerce platform or provider. https://www.practicalecommerce.com 

For the past 20 years, Teresa Torres has championed the cause of product discovery. We’ve made progress, she says, but there are plenty of companies and teams out there who don’t know much about their customers – and still think they have all the answers. Is AI exacerbating the problem? In this episode, Teresa returns to Product Momentum taking us on a rollercoaster ride that begins in a pre-ChatGPT world full of hopeful optimism in which product leaders were (slowly, steadily) recognizing the value good Discovery brings – but then spirals through phases of grief as AI-powered Delivery seems to have reclaimed our attention. As you'll hear, Teresa remains bullish on AI. But she's also concerned that AI is pulling us in the wrong direction, making it easier and faster to build and, thus, putting even more emphasis on Delivery. Ever the optimist, Teresa believes that product builders can use the same technology that created today's predicament to help us course-correct, refocusing our attention on high-quality Discovery practices. Here's a few of our key takeaways: AI Might Be Helping Us Build the Wrong Thing In our earlier episode with Teresa (58 / Innovate with Product Discovery, published shortly before the release her Continuous Discovery Habits, a must read for anyone in the software space), Teresa talked about how the product community under-emphasized Discovery and over-emphasized Delivery. It was a time highlighted by a gnawing anxiety that we were building the wrong stuff. Since then, the trend was moving back toward a focus on Discovery, Teresa says, until AI changed the trajectory again. “AI is making it easier and faster to build software,” Teresa says. “But as we do, we’re once again putting even more emphasis on Delivery and forgetting to ask whether we're building the right thing?” AI’s Double-Edged Sword: Broad Participation vs. Product Coherence Teams across the organization are now contributing to software development – a positive trend that Teresa calls awesome. “We want to empower product teams and draw people closer to the customer to impact the product in positive ways,” Teresa says. “But it's equally terrifying: who’s creating product coherence, and how do we make sure [each team] is serving the market and not their own specific needs?” The Opportunity Solution Tree: A Structure Of Discovery That Doesn’t Change With the Opportunity Solution Tree, Teresa provides teams with “a simple underlying structure that gives us a mental representation” of the interaction between what success looks like (outcome), our customers and their needs (opportunity space), and impact on our customers and our business. “Do I think that’s ever gonna change?,” Teresa asks. “I don’t. We're always gonna have to create value for our business. We’re always going to have to create value for our customers. Hopefully, we are doing one thing to accomplish both – not doing competing things.” As AI enables more people to be makers, teams and organizations will learn new skills and allow everyone who wants, to contribute while still delivering a coherent product that serves their users. “I actually think that’s gonna be net positive in the long run,” Teresa concludes. You can catch even more of Teresa’s insights by checking out her podcast, Just Now Possible, which releases new episodes every Thursday. And, beginning this month (Jan. 2026), Teresa and Product Talk are launching a new course called, Business Fundamentals. The post 179 / Teresa Torres: Is AI Re-Prioritizing Delivery Over Discovery (Again)? appeared first on ITX Corp..

Summary:Bryan House, CEO of Elastic Path, shares his insights on the transformative role of AI in B2B ecommerce. Elastic Path is focused on B2B commerce, working with a wide range of B2B businesses across different verticals. Why listen:Get insights into the latest trends in B2B ecommerce and AI.Learn about the importance of structured product data and workflow automation.Understand how AI can enhance sales processes and customer relationships.Discover Elastic Path's innovative solutions for complex B2B scenarios.Hear predictions on the future of B2B commerce and AI's role in it.Discussion topics:Bryan explains how AI is reshaping the landscape, particularly through the shift from search-led buying to answer-led discovery. The podcast emphasises the importance of structured product data and workflow automation, which are crucial for enhancing efficiency and customer satisfaction.The discussion also highlights Elastic Path's innovative approach, focusing on their flexible Product Experience Manager that supports complex catalogue scenarios. This makes it well-suited for mid-market B2B companies dealing with intricate product configurations and pricing models. The conversation also explores the impact of AI on sales processes, suggesting that AI can serve as a superpower for sales teams by automating routine tasks and allowing them to focus on building meaningful customer relationships.The podcast closes by considering the future of B2B commerce, with Bryan predicting that AI will compress the sales funnel, making discovery, comparison and configuration processes faster and more efficient. AI has the potential to disrupt traditional marketplaces by shifting loyalty from channels to outcomes, offering a significant opportunity for B2B companies to lead in AI adoption.Bryan's extensive experience and leadership at Elastic Path provide a valuable perspective on navigating the evolving landscape of B2B ecommerce.

"Shop has this amazing opportunity to convert shoppers into people that are being entertained by shoppable content."Bill Staley built the first Shop Mini to launch on Shopify's Shop app. Food Social brings 10,000+ shoppable recipes to 200 million potential users. We dig into why Shop is Shopify's most underrated channel, how personalization matches recipes to purchase history, and why intent-based shopping beats interruption marketing every time.SPONSORSSwym - Wishlists, Back in Stock alerts, & moregetswym.com/kurtCleverific - Smart order editing for Shopifycleverific.comZipify - Build high-converting sales funnelszipify.com/KURTLINKSFood Social: https://foodsocial.ioFood Social App (iOS & Android): Search "Food Social" in app storesEmail Bill: bill@foodsocial.ioWORK WITH KURTApply for Shopify Helpethercycle.com/applySee Our Resultsethercycle.com/workFree Newsletterkurtelster.comThe Unofficial Shopify Podcast is hosted by Kurt Elster and explores the stories behind successful Shopify stores. Get actionable insights, practical strategies, and proven tactics from entrepreneurs who've built thriving ecommerce businesses.

Is your team writing code before they've actually validated the problem? In this episode, Ashok sits down with Mohammed Ali Cherwala (MAC), co-founder of Wednesday Solutions, to dismantle the traditional "build first" mentality. Mac explains why "Product Engineering" is distinct from simple software development and how his firm uses "Sprint Zero" to validate ideas cheaply using methods like fake door tests and prototypes—ensuring you don't waste capital on features nobody wants. We also dive into a radical business model shift: moving from hourly billing to outcome-based pricing, where clients pay for moved metrics rather than hours worked. Mac shares how this aligns incentives and reduces founder burn. Plus, we explore how hiring has evolved in the age of AI, why "framework thinking" beats instinct for Product Managers, and real-world examples of using on-prem LLMs to automate compliance and QA at scale. In this episode: Sprint Zero: How to use discovery sprints to validate business gaps before building. Outcome-Based Pricing: Why charging for results is better than charging for time. Hiring with AI: A new interview simulation to spot engineers who think like product owners. Automating Quality: How defining "what good looks like" enables AI agents to take over manual QA. The "Ocean's 11" Team: A metaphor for building high-trust, specialist teams. Mentioned in this episode... Wednesday Solutions: Mac's product engineering firm. Books: The Mom Test, Continuous Discovery Habits. Tools: Gemini Bot, Code Rabbit, PostHog, Clarity, Testim, Keploy, Fathom, PRDkit.ai. Service: Urban Company (InstaHelp). Unlock the full potential of your product team with Integral's player coaches, experts in lean, human-centered design. Visit integral.io/convergence for a free Product Success Lab workshop to gain clarity and confidence in tackling any product design or engineering challenge. Subscribe to the Convergence podcast wherever you get podcasts including video episodes to get updated on the other crucial conversations that we'll post on YouTube at youtube.com/@convergencefmpodcast Learn something? Give us a 5 star review and like the podcast on YouTube. It's how we grow.   Follow the Pod Linkedin: https://www.linkedin.com/company/convergence-podcast/ X: https://twitter.com/podconvergence Instagram: @podconvergence

In Episode 48 of the Design of AI podcast, we unpack why the most common AI promises are collapsing under real market pressure. AI was meant to unlock strategic work, expand opportunity, and elevate creativity. Instead, UX and design roles are disappearing, agencies are cutting creative staff while buying automation, and freelance work is being devalued as execution becomes cheap.This episode is not about panic. It is about reality. Value still exists, but it is concentrating among those who can integrate AI into real systems, navigate ambiguity, and own outcomes rather than outputs.

Consumers are shifting from traditional search engines to AI tools like ChatGPT and Gemini, which is fundamentally changing how financial products appear and get evaluated.Amber Buker, Chief Research Officer at Travillian, reconnects with Alana Levine, Chief Revenue Officer at Fintel Connect, to explore one of the biggest shifts uncovered in Fintel Connect's annual survey: the rise of consumers using Large Language Models like ChatGPT and Gemini to research financial products. This move away from traditional search engines is already reshaping affiliate marketing, prompting Fintel Connect to examine how different AI models source recommendations and how financial institutions can stay visible in a growing no-click environment.

Matthias Keller, Chief Product Officer at Kayak, shares hard-won lessons about AI product strategy and knowing when to invest in emerging platforms. With a PhD in computer engineering from ETH Zurich and 12 years at Kayak, Matthias has lived through multiple waves of AI hype—from Alexa voice skills in 2016 to today's LLM revolution. He discusses the strategic calculus of early platform bets, the painful lessons from experiments that didn't pan out, and how to recognize when technology has truly shifted. The conversation covers navigating distribution challenges when competing with giants like Google and ChatGPT, balancing first-mover advantage with execution realities, and how LLMs are democratizing AI development for engineering teams. Matthias emphasizes the critical framework: "if you build it, they may come—if you don't build it, they won't come."

Guest: Sean Callihan, Partner Manager at CommerceRecording Location: E-commerce Forum, MinneapolisEpisode Timestamps[00:00 - 01:51] Introduction and Commerce RebrandSean's background: 6 years at Commerce, 6 years in agenciesWhy BigCommerce became CommerceThree-product strategy: BigCommerce, Feedonomics, Makeswift[01:51 - 03:51] Commerce Product PortfolioFeedonomics: Platform-agnostic feed management and data optimizationMakeswift: Low-code, no-code page builder demonstrationHow products work together or independently[03:51 - 06:04] B2B Strategy and Market PositionB2B Edition as a company pillarInvestment in B2B product development and go-to-market teamsDedicated B2C and B2B teams serving different markets[06:04 - 08:10] Open SaaS Platform AdvantagesIntegration with legacy systems without rip-and-replaceImportance for B2B distributors and manufacturersExtensibility and ecosystem approach[08:10 - 12:07] AI and Agentic CommerceFeedonomics as a data platform advantagePartnerships with OpenAI and PerplexityAI data readiness for merchant discoveryProduct data enrichment from multiple sources[12:07 - 13:55] Makeswift Integration RoadmapReplacing native BigCommerce page builderBenefits for marketers and developersLow-code, no-code functionality[13:55 - 15:01] E-commerce Forum ExperienceFour years attending in person, plus virtualInclusive Midwest ecosystem approachValue of partner and merchant connectionsKey Topics: Commerce rebrand, B2B ecommerce, AI readiness, data optimization, Feedonomics, Makeswift, open SaaS, product discovery

In this episode of Talk Commerce recorded live from Ecom Forum in Minneapolis, host Brent Peterson sits down with Sharon Gee, Senior Vice President of Product at Commerce, to discuss how artificial intelligence and agentic commerce are reshaping ecommerce. Sharon oversees AI offerings across BigCommerce, Feedonomics, and Makeswift, bringing insights on how merchants can adapt to a world where AI agents shop alongside humans.Key TakeawaysData has become the new storefront as consumers increasingly turn to answer engines rather than traditional searchMerchants need to provide structured, contextual data to AI agents, not just visually appealing websites for human shoppersChatGPT reached 100 million users faster than any consumer technology in historyProduct data must exist on multiple levels, from basic ad information to unstructured content in PDFs and reviewsB2B commerce stands to benefit significantly from AI-powered sales assistantsNew trust protocols are being established to manage transactions between shoppers, agents, merchants, and merchant agentsAI democratizes marketing tools, allowing creative thinkers to execute ideas without engineering expertiseEpisode SummarySharon begins by explaining her role at Commerce and immediately addresses the most significant shift in ecommerce: the rise of agentic commerce. For decades, professionals optimized data for advertising channels, working to improve conversion rates between two and five percent. Now consumers turn to answer engines with complex queries like finding a dress for a wedding in Italy in a specific color and size, delivered by tomorrow."Somebody came along and bopped the board game and now we get to reset all the pieces," Sharon explains. This shift requires merchants to recognize that data has become the new storefront. Answer engines need deep context to respond to long-form queries, making product discoverability critical wherever shoppers are looking.Sharon introduces a framework for data levels. Level one includes basic information for Google ads. Level two encompasses marketplace data. Level three consists of product specifications in PIM systems. Levels four and five venture into unstructured data, including PDFs and user reviews. This creates what she calls a bifurcated experience—merchants need different versions of their sites for AI agents versus human visitors.When asked whether sites might become pure APIs, Sharon argues for both approaches. Brand sites remain channels merchants control, but on third-party agentic channels, merchants only control the data they provide. This makes data investment critical for visibility.Sharon sees massive potential in B2B sales assistants trained on documentation that human sales reps use. If three-quarters of the sales cycle could progress overnight, reps could focus on high-touch human interactions. B2B companies have advantages because they're manufacturers with deep data, extensive documentation, and sophisticated pricing structures.Addressing concerns about AI reliability, Sharon explains that commerce platforms and partners are collaborating on protocols. "You've seen more open protocols released in the past six months than like the previous 10 years combined," she notes. Companies recognize that trust becomes paramount when authorizing agents to shop on behalf of consumers. Transactions now involve four parties: a shopper, a shopper agent, a merchant, and a merchant agent.Sharon emphasizes AI's role as a growth enabler rather than just a cost-reduction tool. Merchants could rewrite entire product catalogs with a button click using generative AI. AI provides jet fuel for existing teams, unlocking capabilities never before possible. "I would love it if our generation is the last one to use a mouse and a keyboard," Sharon declares.Brent adds that AI's greatest value might be identifying what merchants aren't doing rather than what they should be doing. Sharon confirms that Commerce customers use tools to define simulated personas and understand what queries those personas might ask, then determine what content they need to ensure their products get referenced instead of competitors' products.Episode Timestamps[00:00] - Introduction and Sharon's role at Commerce[01:00] - How agentic commerce is changing the game[02:30] - The shift from traditional SEO to AI-driven discovery[04:00] - Why data is the new storefront[06:00] - The five levels of product data[08:00] - Creating different experiences for agents vs humans[10:00] - The bifurcated website experience[12:00] - Why B2B commerce will benefit from AI agents[14:00] - Building trust protocols for agentic transactions[16:00] - AI as a growth enabler vs cost reducer[18:00] - Rewriting catalogs with generative AI[20:00] - Finding gaps in content strategy with AI[21:00] - Final thoughts on Ecom Forum and the human element

John Gordon shares his journey from the military to launching his startup, Acelo, focusing on AI-driven automation in sales and marketing.He demonstrates the practical applications of AI in building product requirement documents without any code, emphasising the importance of context engineering.Key takeaways for product people include:1) The importance of context engineering in AI to avoid hallucination.2) Utilising low-code tools like n8n and make.com for automation.3) The significant shift from code writing to mastering requirements documentation.4) Emphasising the reduction of manual tasks, allowing more time for strategic product thinking and client interactions.00:00 Introduction00:57 Meet John Gordon: From Military to AI Innovator03:17 The Rise of AI in Product Development07:38 Understanding AI Agents and Context Engineering09:13 Live Demo: Building a Requirements Document with AI19:17 Practical Applications and Workflow Automation29:22 Getting Started with AI Tools and Automation35:27 Conclusion and Final ThoughtsResources mentioned in the episode:https://www.youtube.com/@TheAIAutomatorshttps://www.youtube.com/@nateherkhttps://www.youtube.com/@StephenGPopehttps://www.youtube.com/@ColeMedinContact:https://www.linkedin.com/in/john-gordon-39135287/https://www.linkedin.com/in/stuart-martin-3aa28490/⚡️ In each episode, Paddy Dhanda deep dives into a new human Superpower to help you thrive in the age of AI.Host: Paddy DhandaPaddy works at the largest Tech training organisation in the UK and is passionate about helping tech professionals build human skills to thrive in the age of AI.Contact Paddy: paddy@superpowers.schoolSubscribe to my newsletter:

Today, we're joined by a familiar voice and a musically inclined CPG thought leader: Chris Perry of firstmovr. He's spent the last several months educating brands on how to prepare for a new age of product discovery and conversion paths with the dawn of AI-enabled search.  We're thrilled to have him back to share key insights and practical takeaways from his recent trainings. Tune in to find out more! KEY TAKEAWAYS In this episode, Julie, Jordan, and Chris discuss: The Changing Digital Shelf: How the digital shelf continues to evolve rapidly and the growing importance of frictionless and personalized shopping experiences driven by AI. Personal Experiences with AI Search: How tools like Rufus and ChatGPT are influencing their own shopping behaviors. Choice Paralysis and AI Solutions: Choice overload for consumers and how agentic AI tools can curate and simplify decision-making, much like a “Costco experience” for endless online assortments. Training and Transition for Brands: Chris details the challenge of bringing legacy organizations up to speed, highlighting the need to expand skillsets from basic e-commerce “math” to effectively leveraging AI “calculator” tools. Brand Case Studies and Shopper Journeys: Through real shopping scenarios (e.g., searching for whitening toothpaste for sensitive teeth), Chris explains how AI-driven search results can differ from traditional ones, urging brands to rethink content strategy and optimization. Prompting and Shopper-Centric Content: Tips for brands to analyze and adapt to AI tools' pre-filled questions and dynamic prompts, which often reveal emerging shopper concerns and influence purchase considerations. Practical Optimization Insights: Actionable steps brands can take, such as focusing on clear, shopper-centric product content and continually testing how products show up in AI-influenced search environments. Looking Ahead: The future convergence of search and AI, predicting that the lines between “search bar” and “AI assistant” will soon blur, fundamentally changing shopper expectations. Tips for Brands: Brands are encouraged to treat the digital shelf as an ongoing process, not a project, and to use practical experimentation, shopper empathy, and iterative optimization to stay ahead.   MENTIONED IN THIS EPISODE Connect with Chris Perry Learn more about firstmovr Connect with our host, Julie Spear Connect with our host, Jordan Ripley Learn more about Acadia

I found our conversation today about the AI-transformed future of commerce with Matt Ezyk, Sr. Dir. of Ecommerce Engineering at Hanna Andersson, both urgent and comforting. Urgent in that he strongly believes that consumer journeys and product discovery will be upended by conversational commerce and brands need to prepare, and comforting in that those in ecommerce and digital have spent their careers being upended. And have built the mindset and skills to manage through it. Matt walked us through his approach to riding this transformation wave armed with curiosity, discipline, and a test and learn mindset.

In this episode of The Ecommerce Toolbox: Expert Perspectives, Matt Ezyk, Senior Director of Engineering, Ecommerce at Hanna Andersson, shares how heritage brands can modernize ecommerce platforms without sacrificing reliability, performance, or customer experience. Matt reveals the “silent killers” that quietly erode site conversion, from friction-filled checkout flows to cross-team misalignment, and how he's tackling them through selective modernization, API-first architecture, and a disciplined focus on site speed. He also cuts through the AI hype, explaining why clean, connected customer data is the non-negotiable foundation for any meaningful AI adoption. If you want to drive ecommerce growth while keeping your tech stack stable and your customer experience intact, you'll want to hear this conversation.

Product Discovery coach, teacher, and author Teresa Torres joins Peter and Jesse to explore the messy reality of organizational change and cross-functional collaboration. She discusses why external coaching has limits, how individual contributors can drive change within resistant systems, and what the rise of AI means for blurring roles between product, design, and engineering teams.

Product Discovery coach, teacher, and author Teresa Torres joins Peter and Jesse to explore the messy reality of organizational change and cross-functional collaboration. She discusses why external coaching has limits, how individual contributors can drive change within resistant systems, and what the rise of AI means for blurring roles between product, design, and engineering teams.

We revisit our conversation with Frances Ibe, Chief Experience Officer at Tide. Frances shares invaluable insights on her journey from developer to product leadership and how to avoid common pitfalls during the discovery process.Chapters01:07 – Meet Frances Ibe02:05 – Common Discovery Pitfalls03:34 – Embedding Continuous Discovery04:51 – The Myth of Talking to 20 Customers06:38 – What is a Data Prototype?08:03 – Building Confidence in Product Bets10:42 – Sharing Insights Across the Business13:52 – Keeping Sprint Reviews Engaging15:49 – Discovery Through Observation17:21 – Responding to Data-Driven Disruption18:30 – The Power of Storytelling20:49 – Training Teams in Storytelling22:36 – Maintaining Message Consistency23:48 – Collaborating Across Disciplines25:01 – Francis' Game-Changing AdviceFeatured Links: Follow Frances on LinkedIn | Tide | 'Six things we learned at the Pendomonium and #mtpcon roadshow - London 2024' feature by Louron PrattOur HostsLily Smith enjoys working as a consultant product manager with early-stage and growing startups and as a mentor to other product managers. She's currently Chief Product Officer at BBC Maestro, and has spent 13 years in the tech industry working with startups in the SaaS and mobile space. She's worked on a diverse range of products – leading the product teams through discovery, prototyping, testing and delivery. Lily also founded ProductTank Bristol and runs ProductCamp in Bristol and Bath. Randy Silver is a Leadership & Product Coach and Consultant. He gets teams unstuck, helping you to supercharge your results. Randy's held interim CPO and Leadership roles at scale-ups and SMEs, advised start-ups, and been Head of Product at HSBC and Sainsbury's. He participated in Silicon Valley Product Group's Coaching the Coaches forum, and speaks frequently at conferences and events. You can join one of communities he runs for CPOs (CPO Circles), Product Managers (Product In the {A}ether) and Product Coaches. He's the author of What Do We Do Now? A Product Manager's Guide to Strategy in the Time of COVID-19. A recovering music journalist and editor, Randy also launched Amazon's music stores in the US & UK.

In this insightful episode of the Remarkable Retail podcast recorded live at the CommerceNext Growth Show in New York, Sarah Henry, Vice President, Head of Content, Influencer & Commerce at Walmart, discusses how one of the world's largest retailers is at the forefront of digital innovation. Sarah shares her journey from classical pianist to marketing executive, charting her unique path into eCommerce and social media leadership.The discussion dives deep into how Walmart is meeting the evolving expectations of Gen Z and Gen Alpha consumers. Sarah explains how the boundaries between brand discovery, engagement, and purchase are transforming, particularly for younger demographics who now discover products on social platforms more than in physical aisles or via traditional search engines. She shares insights into Walmart's strategic shift, including the rollout of the "Who Knew?" campaign, which highlights surprising products and services available through Walmart, ranging from exclusive Pokémon cards to stylish fashion from brands like Free Assembly.A central focus of the conversation is "Walmart Creator", the brand's in-house platform launched to streamline influencer engagement and power social commerce. Sarah explains how this platform connects tens of thousands of creators directly with Walmart's ecosystem, enabling shoppable content that seamlessly bridges inspiration and transaction.The conversation also touches on the increasing role of artificial intelligence in commerce. Sarah emphasizes the balance between technology and human creativity, asserting that Walmart's approach is "tech-led and people-powered." She discusses how AI is being used to support creators, personalize experiences, and enhance the customer journey, while remaining cautious about authenticity and scale.Sarah offers a look at attribution and measurement, acknowledging progress while recognizing room for improvement. She also shares her excitement for the future of social commerce and the continued growth of the creator economy as a legitimate career path. Throughout the episode, she underscores the importance of adaptability and real-time testing in a retail landscape that is changing by the day. About UsSteve Dennis is a strategic advisor and keynote speaker focused on growth and innovation, who has also been named one of the world's top retail influencers. He is the bestselling authro of two books: Leaders Leap: Transforming Your Company at the Speed of Disruption and Remarkable Retail: How To Win & Keep Customers in the Age of Disruption. Steve regularly shares his insights in his role as a Forbes senior retail contributor and on social media.Michael LeBlanc is the president and founder of M.E. LeBlanc & Company Inc, a senior retail advisor, keynote speaker and now, media entrepreneur. He has been on the front lines of retail industry change for his entire career. Michael has delivered keynotes, hosted fire-side discussions and participated worldwide in thought leadership panels, most recently on the main stage in Toronto at Retail Council of Canada's Retail Marketing conference with leaders from Walmart & Google. He brings 25+ years of brand/retail/marketing & eCommerce leadership experience with Levi's, Black & Decker, Hudson's Bay, CanWest Media, Pandora Jewellery, The Shopping Channel and Retail Council of Canada to his advisory, speaking and media practice.Michael produces and hosts a network of leading retail trade podcasts, including the award-winning No.1 independent retail industry podcast in America, Remarkable Retail with his partner, Dallas-based best-selling author Steve Dennis; Canada's top retail industry podcast The Voice of Retail and Canada's top food industry and one of the top Canadian-produced management independent podcasts in the country, The Food Professor with Dr. Sylvain Charlebois from Dalhousie University in Halifax.Rethink Retail has recognized Michael as one of the top global retail experts for the fourth year in a row, Thinkers 360 has named him on of the Top 50 global thought leaders in retail, RTIH has named him a top 100 global though leader in retail technology and Coresight Research has named Michael a Retail AI Influencer. If you are a BBQ fan, you can tune into Michael's cooking show, Last Request BBQ, on YouTube, Instagram, X and yes, TikTok.Michael is available for keynote presentations helping retailers, brands and retail industry insiders explaining the current state and future of the retail industry in North America and around the world.

Explore the cutting-edge world of AI-driven product discovery in e-commerce with this episode's guest, Peter Curran, General Manager of Commerce at Coveo. This episode examines the evolving role of AI technologies, including retrieval-augmented generation, in enhancing the online shopping experience.  From tackling common challenges on platforms like Instagram to the importance of trust in AI adoption, Peter shares compelling examples that illustrate AI's impact on contextual relevance and user experience. Join us as we explore the future of shopping and the collaborative approach required to navigate the rapidly evolving landscape of agentic commerce. Show Highlights: Overcoming e-commerce challenges using AI technologies like retrieval-augmented generation (RAG). The role of AI in improving contextual relevance and providing a seamless shopping experience. The importance of trust and agility in AI adoption within e-commerce platforms. The significance of comprehensive content and user-generated feedback in bridging product discovery and purchase decisions. Examination of how social media influences product discovery, but often does not complete the purchasing journey. Follow and Review: We'd love for you to follow us if you haven't yet. Click that purple '+' in the top right corner of your Apple Podcasts app. We'd love it even more if you could drop a review or 5-star rating over on Apple Podcasts. Simply select “Ratings and Reviews” and “Write a Review,” then a quick line with your favorite part of the episode. It only takes a second, and it helps spread the word about the podcast. Supporting Resources: Peter Curran on LinkedIn: https://www.linkedin.com/in/petercurran/  Coveo: https://www.coveo.com/en  Learn more about Agentforce for Commerce: https://www.salesforce.com/commerce/ai/  Join the Commerce Cloud Community: https://sforce.co/commerce-crew *** Episode Credits If you like this podcast and are thinking of creating your own, consider talking to my producer, Emerald City Productions. They helped me grow and produce the podcast you are listening to right now. Find out more at https://emeraldcitypro.com. Let them know I sent you.

Tim Herbig Connecting the dots of Product Strategy, Product OKRs, and Product DiscoveryIn this episode, we welcome Tim Herbig, a product leadership coach with a special focus on OKRs, in addition to product strategy and discovery. Tim shares his unique journey from product management to coaching, elaborating on the complexities and nuances of implementing OKRs in various business contexts. Through his insightful discussion, Tim covers the misconceptions about OKRs, the importance of adapting them to your specific needs, and effective strategies for measuring success. He also dives into the integration of product discovery and product strategy with OKRs, offering practical advice for product leaders facing challenges with OKR implementation. Whether you're in a startup or a large enterprise, Tim's expertise provides valuable perspectives on how to make OKRs work for your team.00:00 Introduction and Guest Welcome00:48 Tim Herbig's Journey into Product Management01:52 Transition to Coaching and Consultancy03:53 Specialization in OKRs and Product Management06:50 Adapting OKRs to Different Contexts09:46 Challenges and Strategies in OKR Implementation13:58 Measuring Success and Influence in OKRs22:47 OKRs in Product vs. Broader Company Context25:38 The Role of OKRs in Strategy and Discovery27:11 Confidence and Hypotheses in Strategy29:36 OKRs in Startups vs. Large Enterprises32:07 Adapting OKRs to Fit Your Context33:47 Common Misconceptions and Best Practices40:00 Aligning OKRs Across Teams47:43 When to Bring in OKR Support50:57 Conclusion and Contact Information

In this interview, YPulse's MaryLeigh Bliss shares insights from their advertising/marketing effectiveness and DEI reports, highlighting that social platforms are the key drivers of purchase decisions for young consumers. The conversation emphasizes the power of authentic, user-generated content and touches on young consumers' strong commitment to DEI.

Should innovation be outsourced to specialized teams, or integrated into your existing product teams? That's what Enterprise Business Agility Coach Om Patel and Product Manager Brian Orlando are debating today! Listen as we debate the pros and cons of separating innovation from implementation, exploring why "if you build it, you own it" should extend to innovation as well. Join us to learn about the pitfalls of innovation theater, the challenges of knowledge transfer, and how to truly empower your teams to innovate!#Agile #ProductManagement #TeamEmpowermentagile, product management, innovation, team empowerment, product leadership, agile coaching, product discovery, innovation teams, product development, team collaboration, organizational silos, knowledge transfer, MVP development= = = = = = = = = = = =YouTubehttps://youtu.be/Sn7B8zqNlnkSubscribe on YouTubehttps://www.youtube.com/channel/UC8XUSoJPxGPI8EtuUAHOb6g?sub_confirmation=1Applehttps://podcasts.apple.com/us/podcast/agile-podcast/id1568557596Spotifyhttps://open.spotify.com/show/362QvYORmtZRKAeTAE57v3= = = = = = = = = = = =Toronto Is My Beat (Music Sample)By Whitewolf (Source: https://ccmixter.org/files/whitewolf225/60181)CC BY 4.0 DEED (https://creativecommons.org/licenses/by/4.0/deed.en)

Global Agile Summit Preview: Unifying Strategy, Discovery, and Delivery in Product Development With Roman Pichler In this BONUS Global Agile Summit preview episode, we explore a crucial topic that's shaping how we approach product development—sometimes in ways that serve us well and sometimes in ways that hold us back.  There's a growing trend in our industry to explicitly separate strategy, discovery, and delivery into distinct activities or even different teams. On the surface, this seems logical: strategy decides the right thing to do, discovery figures out how to do it, and delivery gets it done. But is this division actually helping us? Or is it creating barriers that make great product development harder? The Origins of Product Discovery "I think it's partly based, at least on Marty Cagan's work, and his insight that many teams are very much focused traditionally on delivering outputs, on writing code. And I think his original intention was to say, 'Let's not worry about creating outputs. Let's also make sure that what we creating makes sense.'" Roman Pichler shares insights on how the concept of product discovery emerged as a reaction to teams being overly focused on outputs rather than outcomes. He explains that conceptually distinguishing between product strategy, discovery, and delivery can be helpful—much like organizing clothes into different sections of a wardrobe. However, in reality, these activities must be connected, informing and guiding each other rather than existing as sequential steps. The Risks of Separating Product Strategy, from Discovery, and from Delivery "If we have a group of people who takes care of strategic decisions, a different group focusing on product discovery, and another group—the tech team—who focuses on product delivery, and those groups don't talk as much as they could and should do, then suddenly we have a sequential process and handoffs." One of the primary challenges with separating strategy, discovery, and delivery is the risk of creating handoffs between different teams. Roman highlights how this sequential approach can slow down value creation, lead to knowledge loss, and increase the likelihood of introducing mistakes. This separation can create barriers that ultimately make product development more difficult and less effective. In this segment, we refer to the podcast interview with Tim Herbig on the concept of Lateral Leadership, and how that is critical for product people. Integrating the Work Streams "What I usually use as a visualization tool is three work streams: a strategy work stream, a discovery work stream, and a delivery work stream. The strategy stream guides the discovery stream. The discovery stream guides the delivery stream, and then the delivery stream informs the discovery stream, and the discovery stream informs the strategy stream." Rather than seeing strategy, discovery, and delivery as separate phases, Roman suggests visualizing them as parallel work streams that continuously inform and guide each other.  This approach recognizes that strategy work doesn't just happen at the beginning—it continues throughout the product lifecycle, adapting as the product evolves. By integrating these work streams and ensuring they're interconnected through feedback loops, teams can create a more cohesive and effective product development process. The Power of Collaboration "The important thing is to make sure that the different areas of work are not disjointed but interlinked. A key element to make that work is to use collaboration and teamwork and ensure that there aren't any handoffs, or avoid handoffs as much as possible." Collaboration and teamwork are essential to successfully integrating strategy, discovery, and delivery. Roman emphasizes the importance of bringing product people—who understand customer needs, business models, and stakeholder relationships—together with tech teams to foster innovation and create value. This collaborative approach helps overcome the challenges that arise from treating these activities as separate, sequential steps. Building an Extended Product Team "Form a big product team, a product team that is empowered to make strategic decisions and consists not only of the person in charge of the product and maybe a UX designer and a software developer, but also key business stakeholders, maybe somebody from marketing, maybe somebody from sales, maybe a support team member." Roman advocates for forming an extended product team that includes not just product managers, designers, and developers, but also key business stakeholders. This larger team can collectively own the product strategy and have holistic ownership of the product—not just focusing on discovery or delivery. By empowering this extended team to make strategic decisions together, organizations can ensure that different perspectives and expertise inform the product development process. Practical Implementation: Bringing it all Together "Have regular meetings. A specific recommendation that I like to make is to have quarterly strategy workshops as a rule of thumb, where the current product strategy is reviewed and adjusted, but also the current product roadmap is reviewed and adapted." Implementing this integrated approach requires practical mechanisms for collaboration. Roman recommends holding quarterly strategy workshops to review and adjust the product strategy and roadmap, ensuring they stay in sync with insights from development work. Additionally, he suggests that members of the extended product team should attend monthly operational meetings, such as sprint reviews, to maintain a complete understanding of what's happening with the product at both strategic and tactical levels. Moving Beyond Sequential Thinking "Unfortunately, our software industry has a tendency to make things structured, linear, and assign ownership of different phases to different people. This usually leads to bigger problems like missing information, problems discovered too late that affect 'strategy', but need to be addressed in 'delivery'." One of the challenges in adopting a more integrated approach is overcoming the industry's tendency toward linear, sequential thinking. Roman and Vasco discuss how this mindset can lead to issues being discovered too late in the process, after strategic decisions have already been made. By embracing a more iterative, interconnected approach, teams can address problems more effectively and adapt their strategy based on insights from discovery and delivery. About Roman Pichler Roman Pichler is a leading product management expert specializing in product strategy, leadership, and agility. With nearly 20 years of experience, he has coached product managers, authored four books, and developed popular frameworks. He shares insights through his blog, podcast, and YouTube channel and speaks at major industry conferences worldwide. You can link with Roman Pichler on LinkedIn and check out the resources on Roman Pichler's website.

Welcome to the 73rd episode of Ecommerce Toolbox: Expert Perspectives! This time, host Kailin Noivo sits down with Sienne Veit, Founder & Chief Product Officer of Invisible Stuff, for an in-depth discussion on her expertise on mobile-first design, AI's transformative role in retail, and the future of product management. Sienne Veit discusses actionable strategies on how to optimize customer journeys, go beyond traditional metrics, and embrace AI for both front-end and back-end retail innovation.

In this episode, Mike Belsito sits down with Dan Blumberg, founder of Modern Product Minds and former product leader at The New York Times, LinkedIn, and Citi, to explore how product discovery works in traditional enterprises. While we often hear stories from cutting-edge tech startups, most product managers work at "normal" companies dealing with legacy systems, regulatory constraints, and established brand expectations. Dan shares practical insights on running effective discovery programs in these environments, including how to test ideas without risking brand reputation, why real commitment beats hypothetical feedback, and how to bring stakeholders along on the journey. Whether you're working in finance, media, or any traditional industry, this episode offers actionable frameworks and strategies for effective product discovery in the real world.

Tanguy Crusson is the product lead for Jira Product Discovery at Atlassian. In his more than 10 years at the company, he has been instrumental in taking several new products from zero to one, including HipChat, Statuspage, and Jira Product Discovery. In this episode, we dive deep into the struggles of innovating and building new products inside a large company. Tanguy shares candid stories about what worked, what didn't, and his many hard-won lessons learned about how to successfully build 0 to 1. We cover:• Why large companies with so many advantages still fail at creating new products• Lessons learned from building HipChat• How to avoid common pitfalls like competitive myopia and premature scaling• Lessons learned from the acquisition and integration of Statuspage• Insights from the success of Jira Product Discovery• Tactics for protecting your “ugly babies”• The power of “lighthouse users”• The importance of having a “why now”• Much more—Brought to you by:• Vanta—Automate compliance. Simplify security• WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs• Coda—The all-in-one collaborative workspace—Find the transcript at: https://www.lennysnewsletter.com/p/building-0-to-1-inside-atlassian-tanguy-crusson—Where to find Tanguy Crusson:• X: https://x.com/tanguycrusson• LinkedIn: https://www.linkedin.com/in/tanguy-crusson-99832a—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Tanguy's background(02:30) Tanguy's journey at Atlassian(07:03) The challenges of innovating in large companies(10:42) Atlassian's high bar for excellence (12:58) The HipChat story: successes, failures, and lessons learned(20:47) Lessons learned from building HipChat(33:49) Statuspage: a journey of perseverance(39:48) Acquisition challenges and lessons(47:22) Strategic decisions: build, buy, or partner?(48:17) Learning to articulate "why now"(54:08) A quick summary of lessons in this episode(55:40) The success and pain of launching Jira Product Discovery (58:10) Incubating new products: the Point A program(01:00:13) Failure is the most likely outcome(01:04:15) Atlassian's four-phase approach to launching new products(01:09:20) Breaking rules without breaking trust(01:16:16) Early success and team autonomy(01:17:22) Innovating without disrupting existing customers(01:23:17) The Lighthouse Users program(01:30:00) Protecting and nurturing new ideas(01:36:14) Balancing innovation with personal well-being(01:38:17) A reminder to look after yourself(01:42:06) Lightning round—Referenced:• Atlassian: https://www.atlassian.com/• HipChat: https://community.atlassian.com/t5/Hipchat/ct-p/hipchat• Stride: https://community.atlassian.com/t5/Stride/ct-p/stride• Statuspage: https://www.atlassian.com/software/statuspage• Opsgenie: https://www.atlassian.com/software/opsgenie• Jira Product Discovery: https://www.atlassian.com/software/jira/product-discovery• HipChat billboard: https://x.com/HubSpot/status/654696998126272512• Announcing our new partnership with Slack: https://www.atlassian.com/blog/announcements/new-atlassian-slack-partnership• Slack shows it's worried about Microsoft Teams with a full-page newspaper ad: https://www.theverge.com/2016/11/2/13497766/slack-microsoft-teams-new-york-times-ad• What Is ‘Dogfooding'?: https://www.nytimes.com/2022/11/14/business/dogfooding.html• Jira: https://www.atlassian.com/software/jira• Confluence: https://www.atlassian.com/software/confluence• PagerDuty: https://www.pagerduty.com/• New Relic: https://newrelic.com/• BigPanda: https://www.bigpanda.io/• Transparent Uptime: http://www.transparentuptime.com/• Vision, conviction, and hype: How to build 0 to 1 inside a company | Mihika Kapoor (Product at Figma): https://www.lennysnewsletter.com/p/vision-conviction-hype-mihika-kapoor• Figma: https://www.figma.com/• Lessons from Atlassian: Launching new products, getting buy-in, and staying ahead of the competition | Megan Cook (head of product, Jira): https://www.lennysnewsletter.com/p/lessons-from-atlassian-launching• Noah Weiss on LinkedIn: https://www.linkedin.com/in/noahw/• Tanguy's LinkedIn post about “lighthouse users”: https://www.linkedin.com/posts/tanguy-crusson-99832a_lighthouse-users-one-of-the-pm-techniques-activity-7176654510801502210-hWNi/• Pixar Chief: Protect Your ‘Ugly Babies' (Your Unsightly Ideas): https://www.forbes.com/sites/andyboynton/2014/03/17/pixar-chief-protect-your-ugly-babies-your-unsightly-ideas/• Atlas: https://www.atlassian.com/software/atlas• Point A: https://www.atlassian.com/point-a• Scott Farquhar on LinkedIn: https://www.linkedin.com/in/scottfarquhar• Who: A Method for Hiring: https://www.amazon.com/Who-Method-Hiring-HC-2008/dp/B004C79SRS/• Hakim's Odyssey: Book 1: From Syria to Turkey: https://www.amazon.com/Hakims-Odyssey-Book-Syria-Turkey/dp/1637790007• Living with the Earth, Volume 1: Permaculture, Ecoculture: Inspired by Nature: https://www.amazon.com/Living-Earth-Gardeners-Permaculture-Ecoculture/dp/1856232603/• INRIA: https://en.wikipedia.org/wiki/French_Institute_for_Research_in_Computer_Science_and_Automation• How a Hydrofoil Works: https://web.mit.edu/2.972/www/reports/hydrofoil/hydrofoil.html• What Is Kitefoil or Foilboarding?: https://www.whenitswindy.com/wp/?page_id=534• Freediving: https://en.wikipedia.org/wiki/Freediving• Tanguy's freediving stats: https://www.aidainternational.org/Athletes/Profile-00000000-0000-0000-0000-000000000a45• Perplexity: https://www.perplexity.com/—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. Get full access to Lenny's Newsletter at www.lennysnewsletter.com/subscribe