This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
How AI captures customer needs that human product managers miss Watch on YouTube TLDR In my recent conversation with Carmel Dibner from Applied Marketing Science, we explored how artificialintelligence is transforming Voice of the Customer (VOC) research for product teams.
How product managers are transforming innovation with AI tools Watch on YouTube TLDR In this deep dive into AI’s impact on product innovation and management, former PayPal Senior Director of Innovation Mike Todasco shares insights on how AI tools are revolutionizing product development.
How product managers can adapt core responsibilities across different organizations and contexts Watch on YouTube TLDR Through his research and practical experience at MasterCard, Nishant Parikh identified 19 key activities that define the role of software product managers.
A custom ChatGPT model that helps accelerate product innovation Watch on YouTube TLDR In this episode, I interview Mike Hyzy, Senior Principal Consultant at Daugherty Business Solutions. He explains how to conduct an AI-powered design sprint that transforms product concepts into clickable prototypes in just hours instead of weeks.
Speaker: Tony Karrer, Ryan Barker, Grant Wiles, Zach Asman, & Mark Pace
Join our exclusive webinar with top industry visionaries, where we'll explore the latest innovations in ArtificialIntelligence and the incredible potential of LLMs. We'll walk through two compelling case studies that showcase how AI is reimagining industries and revolutionizing the way we interact with technology.
I was asked to give a ten-minute overview of my continuous discovery framework and then participated in a fireside chat where the host, Cecilie Smedstad , asked me to go deeper in a few areas. Discovery is a team sport. Its not the exclusive domain of product managers. How are we building production-quality software?
AI made productdiscovery fast, but not necessarily better. With interviews, tickets, reviews, and feedback synthesized in minutes, teams now face a new problem: more input, less clarity. If your discovery process is still driven by triaged tickets, scattered notes, or backlog noise, AI might be accelerating drift, not insight.
We are starting to pull together our list of 2025 product conferences. If you know of product conferences that are not on the list and you think they should be, please send an email to conferences@producttalk.org. Are you looking for the 2024 Product Conferences list? This list is by no means exhaustive. Find it here.
Introduction: The Rise of the AI-Augmented PM Welcome to the era where product managers don’t just manage products—they orchestrate intelligent systems . Get ready to become an AI Product Manager. From market research to roadmap prioritization, AI is reshaping how PMs operate, make decisions, and deliver value.
Speaker: Eran Kinsbruner, Best-Selling Author, TechBeacon Top 30 Test Automation Leader & the Chief Evangelist and Senior Director at Perforce Software
It's no secret that CTOs need to have a full understanding if they want to be successful, but does that make them responsible for developer productivity? While advancements in software development and testing have come a long way, there is still room for improvement. Understand the future of DevOps tied with AI/ML technologies.
If there is one thing thats altering the way we create user experience (UX) designs and conduct research in 2024, it is definitely artificialintelligence (AI). In terms of new technologies, AI is enabling deeper insights into user behavior and preferences through tools like machinelearning and natural language processing.
Image byauthor Generative AI has just put usability testing insights into the center of product development. Its fair to say that usability testing is now the most valuable research method in your toolkit. About: Zsombor Varnagy-Toth is a Sr UX Researcher at SAP with a background in machinelearning and cognitive science.
Too many product teams spend months or even millions training AI models that never deliver real value. This is exactly what happens when you skip structured AI data discovery. With nearly 200k LinkedIn followers and a fast-growing newsletter, he’s trusted for frameworks grounded in practical product management.
Productside | Product Management Courses & Training Ctrl + Alt + PM: AI-powered Product Management Your product management laptop keeps freezing. You’ve heard a few things about AI-powered product management but you thought it might just be a passing fad. Three Capabilities for AI-powered Product Management 1.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale.
All Posts Relationship Series Concept Series Search Concept Series Part II: ArtificialIntelligence (AI) – What Are People Saying? This isn’t a blog about different models or technical classifications. For Part II of the Concept Series, I’m focusing on how people in product management are talking about AI.
Klarna is experimenting with one of the more uncommon uses of generative AI we’ve seen in product as of late: letting customers speak directly to an AI-powered version of its CEO, Sebastian Siemiatkowski.
As I delve deeper into understanding the capabilities and limitations of ArtificialIntelligence, I see an opportunity for AI/ML to improve an existing flow in the Automotive industry. Framework for Building AIsystems MachineLearningMachineLearning (ML) is utilized for data-driven predictions.
Image by Markus Winkler on Pexels Artificialintelligence (AI) can simplify your UX design process. Having tested a selection of AI design tools, I’ve found that some are better suited for certain stages of the UX design process than others. Chances are, you already know that. If you’re ready, let’s get started.
Not a day goes by without a debate about the pros and cons of artificialintelligence (AI). So many sources indicate how AI equals or exceeds the intelligence of humans. When a process becomes too cumbersome and costly, impacting product quality or customer expectations, that’s a problem.
Brought to you by: • Enterpret —Transform customer feedback into product growth • Vanta —Automate compliance. With experience as an engineer at the New York Times and as a designer at Dropbox and Square, Karina has a rare firsthand perspective on the cutting edge of AI and largelanguagemodels.
Product teams often fall into one of two traps: overbuilding tech that doesn’t connect with users or blindly plugging in AI hoping for magic. That’s where Ravi Mehta’s AI strategy approach comes in and why we built a set of three practical Usersnap survey templates to help you apply his thinking. This isn’t theory.
Pinterest, positioned uniquely as a visual discovery engine, has significant potential to leverage personalization to foster deeper user engagement, retention, andloyalty. This interest graph approach (similar to Pinterests non-follower model) creates a highly addictive experience. However, power users can also face content saturation.
As a digital product designer for over a decade, I had already witnessed several technological revolutionsbut none with the transformative potential of generative AI. His framework not only organized my chaotic thoughts on the subject, but fundamentally transformed my approach to designing AI-powered products.
It’s a test of salesmanship. The real test is understanding the person’s need. In e-commerce, we are also in the position of “selling” — products, services, ideas. Qualitative Data (Research): This data tells us why users do what they do. User interviews, focus groups, usability tests, surveys.
Chasing the next big product win in banking or fintech? According to Quanti research , by the end of 2024, 3.6 Dont Just DigitizeRevolutionize EPAM research (2020) shows 63% of people choose their primary bank based on trust. That means constantly testing new features, listening to feedback and improving the user experience.
That’s what one PM told me after their team rolled out AI across the product workflow. That tension points to one of the most underappreciated effects of AI in product teams today. It removes much of the effort from analysis, but also removes the friction that once forced product teams to think. Their backlog was clearing.
AI is rewiring product development Is your operating model ready? By Jill Antweiler Posted in Product Published on: May 8, 2025 Last update: May 8, 2025 AI isnt just changing what we buildits changing how we build it. Its about rethinking how we design, validate, and deliver products from the ground up.
Think again, but now, without assuming the constraints of human UX Researchers. Our UX research practices were heavily shaped by the skills, schedules, and limitations of human researchers. What would research look like without those constraints? Will AI agents be facilitating user interviews? But it doesn’t have to.
Artificialintelligence (AI) is a hot topic and increasingly important in product development. But how can this technology be effectively integrated into development projects?
In a fastmoving digital economy, many organizations leverage outsourced software product development to accelerate innovation, control costs, and tap into global expertise. Rather than building and maintaining a large inhouse team, businesses partner with specialized vendors to handle design, development, testing, and deployment.
What is customer feedback? Customer feedback is the input your audience shares about their experience with your organization. It includes everything from formal survey responses and online reviews to offhand comments in support chats or social media. Feedback is your clearest view into the customer experience.
The right customer analytics platform helps you uncover exactly how customers interact with your product: so you can spot issues early, optimize user journeys, and drive sustainable growth. With a reliable analytics solution , you wont miss critical signals or overlook game-changing insights that could increase product adoption.
Since April, the students in our Continuous Interviewing course have been getting AI-generated feedback on their practice interviews. Like all AI products, it started out pretty good (but definitely not great) and has slowly gotten better with time. But it’s already impacting students’ learning outcomes. Should it be engineers?
Building a culture of experimentation requires an appetite for iteration, a fearless approach to failure and a test-and-learn mindset. Ronny’s work has helped lay the foundation for modern online experimentation, influencing how some of the world’s biggest companies approach testing and decision-making.
Want to advance your career in mobile product management or find top talent for your team? This article shares exciting mobile product manager roles and showcases standout candidates in the field. Recommended product manager job openings in data-driven companies Looking for a job in mobile product management?
De-risking your 2025 initiatives Why every intelligent app must start with a PoC By Jill Antweiler Posted in Product Published on: January 15, 2025 Last update: January 15, 2025 As we settle into 2025, many executives are eyeing ambitious initiatives to leverage new technologies and drive innovation.
AI, predictive analytics, and machinelearning are helping apps feel more personal while taking some of the guesswork out of product decisions. In 2025, more companies are using artificialintelligence to improve product decisions and automate key parts of the user journey.
AI-driven user testing, video insights, plus seamless app distribution and expert resourcesâ discover Centercode 10x. Platform Scalable, Automated, Real-World User Testing Centercode is the leading platform to manage impactful in-the-wild user tests. Start for free , scale as your program grows.
The routine nature of digital banking, including boring interface design, complex language, confusing navigation, hidden fees and formal attitude, can feel tedious and uninspiring, further reducing the desire for meaningful interactions with financial brands. Wheres the brand identity?
His experience mirrors my own observations about the technology’s impact on programming productivity. His experience mirrors my own observations about the technology’s impact on programming productivity. I almost never let the LLM write the actual content. ↩︎
Not the kind of design limited to screens, but the kind that shapes entire ecosystems, guides strategy, and builds adaptive, intelligentproducts. From Figma to Fortune: How Designers Will Build Companies, Not Just Screens Imagine a future where your Figma file isn’t just a blueprint — it’s a living product engine.
Lovable —Build apps by simply chatting with AI Prerna Kaul is a product and platform leader who has spent over 14 years turning machine-learningresearch into consumer and B2B products at Amazon Alexa, AGI, Moderna, and now Panasonic Well.
Thats why Ive curated a list of three top product manager openings at data-driven companies, along with standout candidates who are ready to make an impact. Recommended product manager job openings in data-driven companies Looking for a job in data-driven product management ? Meta Manager, Product Data Operations Meta office.
We organize all of the trending information in your field so you don't have to. Join 96,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content