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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?
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. A few themes emerged over both the talk and the fireside chat that I want to highlight. We need engineers involved throughout.
Tali Melchior , Director of Product Management at Texthelp , was first inspired to experiment with opportunity solution trees in a previous role. Then when Tali moved to her current position, she brought her opportunity solution tree knowledge along and adapted it to the new setting. It was a great experience,” says Tali.
How product managers can use AI to work more efficiently Watch on YouTube [link] TLDR AI is changing how we manage products and come up with new ideas, giving us new tools to work faster and be more creative. AI can help in many parts of making a product, from research to writing product plans and documents.
CaaS platforms function similarly to e-commerce marketplaces, but for automobiles. Enter CarFYAI, CarFY AI is an AI-powered system for streamlining car discovery in Car-as-a-Service platforms, providing a personalized and enhanced user experience for customers. Image Credit: Karena E.I Image credit: Karena E.I
In a fastmoving digital economy, many organizations leverage outsourced software product development to accelerate innovation, control costs, and tap into global expertise. Table of Contents What Is Outsourced Software Product Development? What Is Outsourced Software Product Development?
He has in-depth experience marketing products, addressing product requirements, research, UX design, and management. He spent the first half of his 25-year engineering career in the semiconductor industry as a chip designer and the latter half in software product development. Engineers usually strive for perfection.
Building the ODI Framework After the PCjr setback, Ulwick moved from engineering to product planning at IBM. His early research involved a simple but powerful method: asking customers to compare products. A key principle of ODI is keeping customers focused on their problems, not potential solutions. It’s been about 93.5%
AI already boosting PM workflows: Sachin’s teams use ChatGPT and Gemini for mock drafts, research synthesis, deep research “thought partner” prompts, and long-doc summarization—freeing time for judgment calls. Empathy beats ego: Users spend minutes, not their lives, inside your product.
Then how do we do the work to discover what are the right solutions that actually address those needs in a way that drives that outcome? Then I would say the third piece is tied to, to identify a good solution, we really need to rapidly test our assumptions , and there’s some tooling involved with that. Lots of that.
A step-by-step process for creating GPTs that “think like you” by reverse engineering your own decision criteria 2. Why GPTs are the perfect tool for scaling good management practices without requiring prompt engineering skills 5.
Below is an “explain it to me like I’m 5” definition of the 20+ most common AI terms, drawn from my own understanding, a bunch of research, and feedback from my most AI-pilled friends. Some, which focus on language—like ChatGPT o3 , Claude Sonnet 4 , Gemini 2.5 but not really.
If there’s one thing product managers and product marketing managers wish they had more time for, it’s market research. No sales situations, no customer issues, just pure market research without any agenda other than gaining an unbiased view of the market that makes them more effective in their role, especially strategy and planning.
That changed in 2024 — the year AI stopped being a side project and became the engine of digital banking. These examples illustrate the global trend: AI is enabling higher engagement on digital platforms and scaling up customer support without sacrificing quality. In the UK, NatWest’s AI assistant, “Cora,” handled 11.2
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. The platform encourages audience interaction, where listeners can suggest and vote for future episode topics. TL;DR Podcast.ai Podcast.ai
Photo by Drew Dizzy Graham on Unsplash With the development of technology and society’s changing needs, the design profession will undergo certain transformations. I am sure that in the coming years, we will witness the emergence of new specialisations in design that combine creativity with the latest technologies.
Within the product world at large and the Continuous Discovery Habits community specifically, we’re seeing increasing interest in personal knowledge management, both in terms of the processes and tools people are using to support them on this journey. Find all of the posts in this series here.
AI tools for content creation, powered by advanced machine learning algorithms, analyze extensive datasets to discern patterns and trends. AI for content creation uses artificial intelligence technology to develop and improve various aspects of content development and refinement. What is AI for content creation?
Plenty of AI copywriting tools are in the market (and by the time I finish writing this article, there will probably be more) and each of them could be a good choice depending on your needs or budget. Userpilot is a product adoption platform that offers an AI-powered writing assistant to generate SaaS microcopy.
You can develop your product instincts through hands-on experience and practice: Always learning: Stay updated on industry trends, user behavior patterns, and emerging technologies. Continuous discovery: Regularly engage with users, conduct user research, and practice putting yourself in your customer’s scenario. Subscribe now 5.
For most people, that door opened in late 2022 when ChatGPT was released to the public. Aberdeen Strategy & Research reports nearly 80% of companies are turning to AI for their data-driven business activities, specifically customer interactions. What’s remarkable is how quickly the business community has embraced AI.
Before OpenAI, Logan was a machine-learning engineer at Apple and advised NASA on open source policy. To get better answers from ChatGPT, be specific and give more context to your questions. This not only improves immediate results but also helps in developing smarter AI systems over time.
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. The results may be slightly less consistent, but that’s a trade-off better addressed by hiring specialists in design systems.
Anyone can generate images and designs in different styles with a few words, and naturally, this affects design and AI design tools. We have reviewed current AI design tools to understand their capabilities, strengths, and limitations so we can understand the impact AI will have on the design industry and on our work as designers.
Your launch plan should contain the following: Detailed market research and competitive analysis that examines the current market state and identifies the needs of your target user. Finally, you must analyze customers’ in-app activities after launch to drive retention. What is a product launch marketing plan?
That sounds a lot like a tool that would be incredibly good at identifying a clever strategy. It is our job to create computing technology such that nobody has to program. It’s actually already happening in engineering (check out Devin and Magic ). Think about it—what is AI best at? People stuff!
It’s become clear to me that everyone should be playing with GPTs (custom versions of ChatGTP) right now. It’s easy to think AI tools are a fad, too complicated, or unlikely to have real impact on your job. Prominent engineers are worried. What are GPTs? But you’re wrong. You may be blown away too.
If you’re building a consumer subscription app, this post is your new bible. The post includes a plug-and-play benchmarking tool to identify your biggest growth opportunities, 10 of the most powerful levers for scaling your app, and case studies from the world’s top consumer subscription companies.
In the absence of a dedicated design team, I’ve found myself collaborating with a product manager, front-end engineers, project managers, subject matter experts and various other colleagues to navigate the intricate world of design, ideation, testing, and critiques.
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.
With the rapid evolution of technology, particularly AI, resulting in a major shift in interaction paradigms in recent years , there’s a pressing need to rethink the design process. This approach involves examining what current technology enables and figuring out how it can be utilized to achieve user outcomes.
But the changes that are now visible on the horizon, driven by the sudden emergence of functional AI tools, are difficult to comprehend even for product leaders who have become accustomed to rapid technological change. These frameworks are designed to improve the effectiveness of teams collaborating on software development.
Roughly half are PMs, but over a quarter are founders, and the rest (and the segment growing fastest) are a mix of adjacent functions: engineers, designers, growth/marketing, data, UXR, etc. I’m also experimenting with a researcher to help me get background on the fancier guests. Btw, check out this post on my podcast stack.
Here's a real-world example: A friend fed their schedule to ChatGPT and received a week with fewer meetings, more gym time, and something called “lunch” The result? In product development, tools like ChatPRD and platforms like Lovable , Bolt, and Bubble spit out prototypes before your coffee cools.
Today, AI tools have become a powerful aid in helping technical and non-technical builders with those aforementioned tasks of coding, illustrating, writing copy, and the like. But how far off are we from this technology no longer needing us humans to guide it in the building process? Those advancements made this model much more usable.
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. (As product folks, we should never offer solutions until we’re clear on the underlying problem.)
The results are remarkably realistic and the new tools could have an impact on product teams. Aside from the obvious applications of Voice Translation in the context of content creation, these new translation tools could make expansion into other territories easier. What are the traits of fast, productive softwareengineering teams?
Sublime is a new app which allows you to curate a library for all of the information you care about in one place. Plain describes itself as ‘CS without the BS’ and is positioning itself as a modern customer service tool to support modern product development teams. The company reported an 11% increase in revenues, with revenues of $753.2
Brandon Shalton, a technologist with decades of experience applying technology to solve human problems talks about AI integration as a tool to help in scaling healthcare delivery, thinking different for fostering innovation and what it takes for being a successful healthcare CTO. Connect with Brandon on LinkedIn here.
Is freemium the most effective monetization model for SaaS businesses? Space OS, from Berlin-based startup Deta, thinks there’s a better way to run your desktop’s operating system. It imagines operating systems as an infinite canvas on which you can take notes, watch movies or run full apps just by drawing on the screen.
Joining us on the first episode of this season of Design Aloud is Lisa Kleinman , an accomplished UX researcher , Design strategist, and the queen of customized emojis. Lisa leads the Product design team at make.com , the revolutionary visual platform that enables users to design, build, and automate anything without coding.
Simon Willison , maker of the excellent Datasette open source data exploration tool, had commented on a post by Stratechery’s Ben Thompson , who had captured Bing in the act of misbehaving. Alarm over AI isn’t something new. Ray Kurweil ’s book, “ The Singularity is Near ,” was published in 2005.
Another doc app we came across that’s worth exploring this week is Reflect. Features include networked note taking, voice transcriptions and integrations with calendar tools like Google Calendar and Outlook. Lyfts engineering teams explain how they do it. Easy design fixes improve the usability of these UI elements. (NN
Synthetic Humans is designed for product teams to conduct market research and takes LLMs to the next level by allowing AI bots to chat to each other. The product creates synthetic focus groups, tailored to your niche and allows UX researchers to set a topic for discussion which can then be monitored.
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