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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?
The discussion explores practical applications of AI tools like ChatGPT and Claude in product development, including MVP refinement, customer testing, and marketing content creation. However, Mike emphasizes the importance of balancing AI capabilities with human oversight, warning against over-reliance on AI.
2] Market Research AI-based tools can discover user and customer trends using predictive analytics. This is unlikely to be the case for disruptive innovations, as I discuss below, as well as specialised products with a comparatively small user base, like tailored IT solutions.
He also wrote my 9th most popular post of all time ( Become a more technical product manager ). ” “Make it so holding down the space bar has a timer to shoot a 2nd time.” Claude , ChatGPT ): The AI tools you probably know, which can also write and explain basic code Cloud development environments (e.g.
But when we use generative AI to replace customer interviews , to generate opportunity solution trees , or to do our thinking for us, we fundamentally misunderstand the purpose of discovery. Tweet This So I want to take some time to review why we do discovery. . My advice in this article may not stand the test of time.
Transforming userexperience in cars-as-a-service industry through Strategic AI/ML Integrationa UX casestudy. Overview This case study focuses on integrating AI/ML to improve userexperience in the car-as-a-service automobile marketplace. Car Preferences: Customers range from highly specific to completely flexible.
The Impact of Generative AI on Workplace Culture Generative AI, like ChatGPT, is a hot topic in many organizations. Organizations are trying to figure out how to use these technologies effectively while keeping employees productive and motivated. This creates both excitement and uncertainty among employees and leaders.
Dmitry Zlokazov is the head of product at Revolut, the $45 billion fintech giant operating in over 50 countries, serving more than 50 million customers, and producing some of the world’s top product leaders.
From staying on top of market trends, user needs, customer feedback , and industry insights to managing their resources, and planning what’s ahead for their product. With the release of ChatGPT, it seems like a digital assistant has arrived. With the release of ChatGPT, it seems like a digital assistant has arrived.
From analyzing market trends to churning user needs and technical feasibility into golden product ideas, there are many benefits of ChatGPT for product managers. A potent tool, ChatGPT has proven to be a strategic addition to the product management toolkit, churning out ideas in even the most unlikely scenarios.
The Problem: Checkout Scripts Are Disappearing — and So Are Google Reviews Google CustomerReviews helps merchants build trust through post-purchase surveys. For years, Shopify merchants have relied on Checkout Scripts to trigger the Google CustomerReviews opt-in. I created the customer and merchant journeys.
ODI shifts focus from generating ideas to understanding and addressing customer needs, leading to more successful products and innovations. Let’s gain perspective from the knowledge and experience of one of the most influential people in product innovation, Tony Ulwick. He started exploring what makes innovation successful.
It’s driven by tools like ChatGPT and Gemini, and nothing has captured attention quite so effectively since social media hit the scene promising free technology to get closer to their customers. But if there’s one thing we learned about social media over time, it’s this – do not get distracted by the hype.
Brian has been working for 15 years in different industries like finance, healthcare, and technology. We need to figure out how to use AI to make products that customers will love, while also dealing with all the new things AI brings to the table. for real-time information gathering and fact-checking.
We are living in exciting times — the area of the rise of AI tools. Product Management is a challenging and dynamic field that requires constant adaptation to new technological developments on the one hand and changing customer and market demands on the other hand. Be skeptical and use your judgment on the generated answers.
A deep dive into how artificial intelligence is shaping the next generation of financial userexperiences — through metrics, strategy, and real success stories Until recently, most banks and financial organizations treated artificial intelligence (AI) as tomorrow’s experiment. At the same time, a J.D. Source: J.D.
This guide breaks down the essentials: Customer Insight, Market Analysis, Organizational Impact, and Technical Mastery. Someone with a growth mindset views intelligence, abilities, and talents as learnable and improvable through effort. ” Every time you hear a voice saying: “You are not.”
As a product manager, one of the most significant challenges in app development is designing an intuitive prototype that meets the needs of the target audience and gathering user feedback quickly for iteration. We will use a combination of CHatGPT and AI Art to see if it can aid to product manager to quickly prototype ideas.
It’s got a customGPT that’s now trending in the ChatGPT marketplace , with over 25K users so far. If you’d like to try it out, here’s how to use InVideo to create video content in ChatGPT. And you can bump up Users for a team. The ChatGPT version does everything for you. Why make it harder?
A design and engineering approach that has become more important than the technologies that benefit from it. Companies are working to win the spot of “the best product management platform” in the hearts and minds of their customers. This made me think it was time for a dedicated generative AI app for product managers.
To answer your questions in the most comprehensive way possible, I teamed up with Palle Broe to analyze how leading tech companies are approaching AI pricing and, from that, create a framework to help you make decisions about how to price your own AI products and features. Put them together, and things get dizzying.
Subscribe now Chatbot tools like ChatGPT and Perplexity are quickly becoming de facto co-pilots for product managers. And 85% are using one weekly 🤯 Robert Bye, a PM at Figma, shared a common sentiment: When was the last time a new tool went from non-existent to daily use for the majority of product managers?
White hat designers In Part 1 of this story, we explored how a lone in-house design generalist can free up time and resources by offloading routine UI maintenance tasks to web engineers. So, what can a newly liberated product design generalist do with all that reclaimed time? So is there a way out?
This approach can free up internal resources, reduce time to market, and provide access to niche skills, especially in emerging technologies such as artificial intelligence, blockchain, and the Internet of Things. Prototyping and design: Wireframes, mockups, userexperience flows.
ChatGPT reached 100 million monthly active users (MAU) in just six weeks, feeding into the Generative Artificial Intelligence (Gen AI) frenzy. Maybe it’s because leading with technology is never going to be as meaningful to businesses as solving a problem for them. Sequoia Capital called it a firestorm.
In this article, we’ve selected 24 of the best AI podcasts for you to listen to improve your knowledge of AI and keep up to date with the future of AI technology in product management and more. 4: The AI Podcast by NVIDIA The AI Podcast by NVIDIA is a captivating exploration of AI’s impact on our world, told one story at a time.
A powerful AI tool can be the perfect companion to your customer success platform. In this article, we will explore: How to leverage AI tools for customer success and retention. How can customer success managers address the challenges and concerns around AI when it comes to providing a better userexperience?
We’ve made it to the end of 2022 – 12 months in which everything changed for the tech industry. After booming for the best part of two decades, a number of factors coincided to transform the SaaS landscape and tech more broadly. Announcing ‘The Intercom Customer Support Trends Report for 2022’. Well that was quite the year.
TL;DR Gather customer feedback : Actively collecting and acting on customer feedback enhances userexperience, builds loyalty, and helps guide product development. Collect zero-party data : Collecting zero-party data allows for more accurate personalization and gives customers control over their data—building more trust.
While we’ve known for a while that our living space was due for an update, it wasn’t until our 10-year-old daughter started asking for her own room that we realized we couldn’t put it off any longer. However, now that we need to actually begin, we are having second thoughts about timing. Not the status updates you send.
OpenAI recently released a long-awaited store for GPTs. Now, ChatGPT Plus subscribers can access a collection of GPTs created by different users. In this article, I want to review the downsides of the current version of the store. The naming of categories at the GPT Store is a bit confusing, too.
TL;DR Data analytics is about transforming unstructured data into actionable insights to enhance customer understanding, product features, business operations, and strategic decision-making, ultimately driving growth and user satisfaction. Product analysis with Userpilot.
Forum monitoring is essential but tedious Here's how AI can help By Boris Berenberg Posted in AI Transformation , Product Development Published on: May 20, 2025 Last update: May 20, 2025 If you build products for customers, chances are youve explored how AI can help. This work was largely completed during my spare time.
After the overnight success of Chat OpenAI, it’s no wonder predictions related to using AI and machine learning to increase our understanding of user behavior , greater automation of low-level tasks , and GPT-4 dominate Product Managers’ and Marketers’ projections for the upcoming year.
Dear readers, I was triggered to write this post because ChatGPT apologies way too much, takes too long to get into the meat of an answer, and I wanted to fix that. Turns out you can alleviate some of this setting up chatGPT’scustom instructions feature and googled to see the top setup on Reddit.
Brought to you by: • Explo —Embed customer-facing analytics in your product • Sprig —Build products for people, not data points • Sidebar —Accelerate your career by surrounding yourself with extraordinary peers — Tamar Yehoshua is the president of product and technology at Glean.
Why: The best operators in the world are too busy doing real work to have time to write publicly or explore the newsletter or podcast life. How it works: This is a paid fellowship lasting three months (you’ll be paid $30,000), limited to three people, beginning in July (although timing is flexible). People stuff!
Apart from the use and growth of design systems, the revolution of AI technology is here, and it will affect many places in our design process. Here is an example of a test I did with ChatGPT. I asked ChatGPT to follow the Google Material Design guidelines to add styles. I created a simple form with inputs and a submit button.
The smartphone has become arguably one of the most transformative technologies ever invented when you consider its vast impact across the planet. The parallels between the mobile technology and AI eras are striking for those of us involved in enterprise technology and the surrounding startup ecosystem.
Product Hunt is one of the most effective ways to get early users for a product. Companies like Notion, Loom, Zapier, Robinhood, and Front all found their first set of users this way. For many, it proves to be a big waste of time. One name kept coming up: Leo Bosuener. A huge thank-you to Leo for sharing his hard-earned wisdom.
Some context: The typical product manager ( PdM ) gets dozens of new requests and demands and ideas and suggestions and escalations and bug reports and customer complaints and ChatGPT-generated word salads each day. We think our top 2-3 major R&D efforts will bring in £15-20M this year.
Stories range from “20 ways you can use ChatGPT to make your work easier” to “here’s how AI will end civilization as we know it.” ” 1/4 of the stories in last Tuesday’s New York Times business section were AI-related. 1.
Sales (inevitably) wants to expand our European SMB tech manufacturing ICP to include US-based global banks. This requires a quick-but-urgent review of the opportunity with Product and Engineering before it’s committed to the revenue pipeline. A competitor announces ChatGPT-based retirement investment advice.
Less risky systems focus on transparency obligations to ensure users are aware of interacting with an AI system, not a human being. EU member states will have a designated authority to review the complaints. Stanford Researchers have already evaluated foundational model providers, like ChatGPT, for compliance with the EU law Act.
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