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
The discussion explores practical applications of AI tools like ChatGPT and Claude in product development, including MVP refinement, customertesting, and marketing content creation. Mike brings valuable insights about the revolutionary transformation of product development through artificialintelligence.
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. Instead of focusing solely on today’s customer problems, product teams need to look 2-5 years into the future.
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 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. Why study the 19 key activities of software product managers?
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation metrics for at-scale production guardrails.
From market research to roadmap prioritization, AI is reshaping how PMs operate, make decisions, and deliver value. Market Research: From Manual to Machine-Learned Market research has always been a cornerstone of product strategy. UserFeedback Analysis: From Chaos to Clarity Userfeedback is noisy.
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.
Transforming user experience in cars-as-a-service industry through Strategic AI/ML Integrationa UX casestudy. 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. Image Credit: Karena E.I
January Date Name Location Jan 14–15 APE Berlin, Germany Jan 30 Product-Led Summit Washington, DC, USA February Date Name Location Feb 8 Product Leaders Forum Hyderabad, India Feb 11–12 Product-Led Summit Austin, TX, USA Feb 11–13 DeveloperWeek Santa Clara, CA, USA Feb 11–13 ProductWorld Santa Clara, CA, USA Feb 15 Product Leaders Forum Pune, India (..)
Speaker: Howard Dresner, Chief Research Officer, Dresner Advisory Services, LLC
Join Howard Dresner, founder and chief research officer of Dresner Advisory Services, as he shares his research on the analytics market from surveys with over 5,000 organizations. You’ll learn about the key drivers to business success with analytics and how predictive analytics can drive revenue.
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). Its influence is growing across three key areas: innovative technologies, automation of design tasks, and personalized user experiences.
Every single person that contributes to building a product, all of the makers in the room, we need to care about our customers, we need to make sure that what we’re building is going to work for them, and I want to introduce some ideas that will help you do that. What I saw was they were talking to customers periodically.
Brought to you by: • Enterpret —Transform customerfeedback 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.
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.
Why E-commerce is no longer just about selling, but about understanding and creating value for the user The Wolf of Wall Street (2013) Do you remember the iconic scene from “The Wolf of Wall Street” where Jordan Belfort (played by Leonardo DiCaprio) hands over a pen and says: “Sell me this pen” ? It’s a test of salesmanship.
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. Undestanding Customer Needs. Without customers, there’s no business. Yet, customer needs are transient, and preferences shift without notice.
AI feature checklist for designing features that users trust and confidently engage. 21 questions addressing familiarity, fallbacks, and feedback. Read more » The post The AI feature checklist: 21 questions addressing familiarity, fallbacks, and feedback appeared first on Mind the Product.
Amid this whirlwind of innovation, I found guidance when I came across the work of Andr Neves, a researcher from the Federal University of Pernambuco, on Heuristics for the Evaluation and Design of Generative AI Applications. How can we protect vulnerable users? It felt like finding a detailed map while navigating uncharted waters.
Artificialintelligence is not just a backend technology anymoreits now front and center in the user experience. As designers, were no longer just creating static interfaces; were shaping dynamic, adaptive systems that learn, respond, and even create alongside us. tutor, coach, assistant) - Transparent contextwindows 3.
Yet, PwC reports that 60% of organizations have experienced security incidents related to AI or machinelearning. Keeping up with changing security threats The vast amounts of data required to train AI models create new attack surfaces for cybercriminals to exploit.
Hit Ctrl + Alt + PM Ctrl: Stop doing what algorithms crush overnight Meeting summaries, status decks, first-pass user stories. LLMs churn these out in seconds. If you’re still copy-pasting Jira IDs into a PowerPoint, you’re wasting synapses on work a model can automate. The solution isn’t a bigger monitor; it’s a hard reboot.
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.
Salesforce Field Service is a market leader with customers including many Fortune 500 companies. It represents a broad set of industries, including manufacturing, utilities, communications, consumer goods, and healthcare. Their customers rely on their offline-first mobile app to guide them through complex fieldwork.
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.
Because todays users wont waittheres always a smarter, faster and more useful app waiting to take itsplace. Finance faces the same reality: bold, user-first design delivered through seamless digital platforms is what separates the leaders from those destined to become footnotes. According to Quanti research , by the end of 2024, 3.6
Are you struggling to make sense of scattered user data? 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. Mixpanel – the best cross-platform customer analytics software.
Paweł’s proven approach ensures you’re not just hoarding data, but collecting strategic data — the kind that unlocks automation, personalization, and truly intelligent products. AI Data Strategy Discovery Purpose of this template: Understand how customers handle data today — and how you can solve real pains.
Mobile apps are evolving fast, but whats changing even faster is what users expect from them. Mobile app development trends In 2025, app developers are moving quicker, using smarter tools, and finding easier ways to create better experiences for users across all kinds of mobile devices. Its also changing how teams build them.
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.
Rather than building and maintaining a large inhouse team, businesses partner with specialized vendors to handle design, development, testing, and deployment. This can include: Product strategy: Roadmap definition, market research, feature prioritization. Prototyping and design: Wireframes, mockups, user experience flows.
User experience can make or break a web app. If your software is slow or buggy, users wont stick around for long. If youre only finding out about these issues after users complain, youre already too late. Weve done the research for you! User journey analysis : Tracks the flow of users across pages to detect drop-offs.
What’s your biggest challenge with customer churn right now? Understanding the root causes of customer churn is the first step to reducing it. Identifying why users are leaving Proactively engaging at-risk users Measuring churn accurately How do you currently track customer health and predict potential churn?
Ive been working with ML & AI for 7+ years and have shipped products ranging from expert systems to statistical models, to LLM-powered features and convolution-powered recommendation engines. Im working on a keynote for the AI for Product Leaders summit and wanted to share some of the content thats not going to fit.
At Modus Create, we define intelligent product development as: Building software around AI: Where AI is embedded into the product experience (i.e., personalization, recommendation engines, generative UI, LLM-based support, predictive analytics). You can simulate user interactions with LLM personas. Lets find out.
Rethinking Pinterests Personalization/UX Strategy [link] In todays digital landscape, personalization isnt just a featureits the foundation of user experience. Nowhere is this more evident than on Pinterest, where billions of Pins are curated into unique feeds for over 400 million monthly users worldwide.
Intelligent applications harness AI to deliver personalized, adaptive, and data-driven user experiences that surpass traditional functionalities. The app integrates with the patients consumer glucose monitor and provides guidance without being invasive, and has resulted in more accurate clinical trials.
PDO provides data and insights that power machinelearning and AI, at the core of all Meta products. Who would be the best fit for this job? Who would be a BAD fit for this job? Experience in AI , machinelearning, or related fields. Who would be the best fit for this job? Android-first PMs.
Traditional banking often struggles to capture and maintain customer engagement. 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.
Discord is a communication platform with text, chat, and video services and over 200 million users. Technical questions will be brief and high-level; this interview focuses on behavioral questions and assesses your cultural fit. Highlight things like collaboration and a customer-first mindset.
Research Robinhood’s values before your recruiter call to demonstrate your thorough interest in the company and culture. Robinhood’s core values: Safety First, Radical Customer Focus, First-Principles Thinking, Participation is Power, One Robinhood, Lean and Disciplined, High Performance.
How do you create an experience that captivates users and enhances their learning journey? Benefits of responsive e-learning appdesign Firstly, why do you need a functional design in the app where people study focusing on educational materials, not visuals? You attract more people and build a loyal customerbase.
You sketch a user flow, and AI auto-generates the underlying code. People who design in systems and think in feedback loops will not only speed up product development but also reduce risk, enhance personalization, and maximize business value. Or a B2B tool that shortens workflows dynamically when it detects cognitive load on the user.
Customer churn is one of the biggest challenges businesses face, yet many organizations struggle to accurately predict and prevent it. Losing customers isn’t just a number on a spreadsheet—it’s a hit to revenue, team morale, and long-term growth potential. When customers leave, the ripple effects spread across the entire organization.
A deep dive into how artificialintelligence is shaping the next generation of financial user experiences — through metrics, strategy, and real success stories Until recently, most banks and financial organizations treated artificialintelligence (AI) as tomorrow’s experiment. At the same time, a J.D. Source: J.D.
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