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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.
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.
If youre looking for AI tools that will help you make your work more efficient, you come to the right place. This collection of AI tools will be very helpful for all product designers. Claude Category: Versatile chatbot If youre using ChatGPT daily, you should definitely tryClaude. components using Tailwind CSS.
Drawing from his 20+ years of technology experience and extensive research, Nishant shared insights about how these activities vary across different organizational contexts – from startups to enterprises, B2B to B2C, and Agile to Waterfall environments.
90% of executives say they prefer visual storytelling over dense reports. Its a technique borrowed from the world of film and designbut it might just be the most underrated tool in a product managers toolbox. Customers dont care about data structures. Execs dont care about architecture diagrams. They care about impact.
Whether you’re already deep into AI tools or just getting started, you’ll learn what tools you should be paying attention to, which tool to use when, and how to get unstuck when you run into an issue. Choosing your tooling Current AI development tools come in three types: Chatbots (e.g.
Note that Ive decided not to state the names of the tools I found, partly as the AI landscape is changing rapidly and partly as you should research and select the tools that work best in your context rather than trusting my judgment. [2] 2] Market Research AI-based tools can discover user and customer trends using predictiveanalytics.
Maybe you’ve even tried some popular AI tools, like the good ol’ ChatGPT. But did you know that certain AI tools work best at specific phases of the 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.
Simplify security OneSchema —Import CSV data 10x faster Michael Truell is the co-founder and CEO of Anysphere, the company behind Cursor—the fastest-growing AI code editor in the world, reaching $300 million in annual recurring revenue just two years after its launch.
This definition is a mouthful, so I like to visualize it. I’m going to walk through this visual quickly, and then Cecilie and I are going to dive into this in more depth. Using the Opportunity Solution Tree to Guide Discovery The visual at the center of this is called an opportunity solution tree. It’s that simple.
As hiring managers, we also assess how well you work within constraints , making decisions with limited time and data — just like real-world product management. Stay focused on relevant insights. This will give the hiring team insight into your thinking and show that you can confidently navigate ambiguity.
How New Heuristics Are Reshaping the Creative Process Between Humans andMachines Image generated byChatGPT When the wave of generative AI tools began flooding the market, I must confess my reaction was mixed: a sense of fascination for the possibilities and concern for the ethical challenges looming on the horizon.
It reassures employers that youre not just familiar with the basics but also adept at using modern, collaborative, and cutting-edge tools that drive todays design workflows. Why it works: Prototypes are the ultimate storytelling tool. Why it works: Data-driven design is the future. Pro tip: Go beyond the basics.
Data-Driven Insights: Analyzing user behavior, AI offers insights that guide design decisions. Steps to Get Started [Actionable Guide] : Identify aProblem : Use ChatGPT: What are the biggest user frustrations in [app or product]? Prompt ChatGPT: Generate ideas for a simplified workflow for [problemarea].
At OpenAI, she established marketing foundations for ChatGPT for consumers and enterprises, as well as their developer API platform. An engineer turned marketer, Krithika brings a uniquely analytical approach to marketing. While at Stripe, she spent over eight years building and scaling their marketing function from scratch.
He is known for his “extreme dogfooding” ethos—personally completing almost a thousand Uber driving and delivery trips to sharpen his product insight and user empathy—and his “ship, ship, ship” mantra, which drives rapid iteration across Uber’s global teams.
I had no dev team, no startup budget — just a clear understanding of the problem, a few AI tools, and the instincts of a designer. But until recently, we were often boxed into solving parts of problems — the visuals, the flow, the usability. Tools like Cursor and AI models aren’t shortcuts — they’re extensions of intent.
Picture this: A room full of product leaders huddled around market data like detectives at a crime scene, learning to spot the subtle clues that spell opportunity. Just as a master chef knows instinctively when a dish needs a pinch of salt, great product leaders cultivate an intuition that bridges data and action. The secret?
This guide covers everything you need to know about outsourced software product development services , from core definitions and benefits to a stepbystep process, pros and cons, realworld case studies, and future trends. This lean approach allowed the founding team to validate the market before investing in a full inhouse team.
The payoff is already visible in richer digital experiences, sharper personalization and faster, safer service. Within this article, we analyze how AI’s adoption in 2024 impacted key areas of digital CX, highlighting global trends as well as specific insights from major markets like the US and UK.
Everyone’s talking about vibe coding , and how important it is to get your hands dirty by using the latest AI tools. I asked on X , LinkedIn , and my subscriber Slack community: What’s a product or tool you vibe coded that you actually use regularly in your work or life? And what tool/platform did you use to build it?
This is the story of how I used design thinking, two AI tools, and a few nights of intense focus to go from idea to Shopify App Store — without a dev team or a startup budget. Here’s how we tackled it together: Step 1: Understand The first few hours were just conversations with ChatGPT. Not publicly. It had to just work.
This bold prediction from Steve Jobs when he introduced the first iPhone in 2007 seems almost understated in hindsight. Data-centric development The focus is shifting from model-centric to data-centric development, with new frameworks emerging that prioritize data quality, essential for building robust AI solutions.
These forums serve as a direct line of communication with our users, providing insights into their needs and concerns. GitHub Copilot : This tool assists in development, making the coding process smoother and more efficient. Implementing analytics to track community engagement trends.
If it’s a backlog full of feature requests and bugs reported directly from customers, it’s already much more valuable than a backlog full of internal ‘ideas.’ If your backlog is full of feature requests and bugs reported directly from customers, it’s already much more valuable than a backlog full of internal ‘ideas.’
Subscribe now For more: Lennybot | Podcast | Swag | Hire your next product leader | My favorite courses I’ve always been fascinated by what tools people choose to use in their work. Today, with insights from over 6,500 of you (thank you! 90% of respondents use ChatGPT regularly. Beyond just asking, “What do you use?”
As Mehta explained during the webinar, “AI has evolved from being an assistant to a true agent, capable of not just analyzing data but taking proactive actions to meet higher-level business goals like renewals, adoption, and risk mitigation.” This is the foundation but only scratches the surface of AI’s potential.
Listen now: YouTube // Apple // Spotify Brought to you by: Eppo —Run reliable, impactful experiments Contentsquare —Create better digital experiences OneSchema —Import CSV data 10x faster Jerry Colonna is a world-renowned executive coach, a former venture capitalist, and the co-founder and CEO of Reboot, an executive coaching firm (..)
Cyrus is essentially a customized chatbot built with a tool like ChatGPT, but it’s the information Seth fed into it that makes it effective. He uploaded detailed insights about his job, his professional goals, his approach to work relationships, and even his personal aspirations. The result? From there, ramble freely.
I love gathering data, analysing it and using it to justify design decisions. Its not just the time to do the actual research; its the time to plan, recruit, analyse and report. Sometimes its okay to rely on some analytics and heuristicsthere are often principles, patterns and precedents to fall back on for the work youredoing.
Or noticed how the same conversation can lead to new insights or annoyance depending on how a question is phrased? Because while AI is busy handling the predictable, our very human superpowers (e.g. When machines handle the predictable, we can focus on what matters. That's the magic of being thoughtful. Why does this matter now?
The 5 PM archetypes: Consumer (design-obsessed), Growth (data-driven skeptic), Business/GM (margin-focused), Platform (builds tools for others), or Research/AI (technical depth). Data flywheels beat everything: For AI startups to compete with giants, you need proprietary data that improves through usage.
” Most people think of prompting as chatting with ChatGPT, but Sander explains that real leverage comes from crafting high-performing prompts inside products. Simplify security Sander Schulhoff is the OG prompt engineer. There are two distinct types of prompt engineering: “conversational” and “product-focused.”
Watch or listen now: YouTube // Spotify // Apple Brought to you by: Paragon —Ship every SaaS integration your customers want Notion —The best AI tools for work Hiten Shah is a serial founder who has started several analytics and security companies, including Crazy Egg and KISSmetrics.
Some, which focus on language—like ChatGPT o3 , Claude Sonnet 4 , Gemini 2.5 There are also more traditional types of AI models, such as classification models (used in tasks like fraud detection), ranking models (used in search engines, social media feeds, and ads), and regression models (used to make numerical predictions).
And as a customer success (CS) leader, if you don’t understand the differences under the hood, then you’re leaving insights, productivity, and revenue on the table. For instance, tools like Staircase AI can surface real-time customer health insights, which could lead to surprise churn if missed.
Today, AI tools are everywhere. AI voice agents are on our phones, generative AI summarizes our Google searches, and, according to Reuters , over 400 million people use ChatGPT weekly. In particular, AI offers CS teams a game-changing capability: real-time customer health insights. And we werent positive it ever would be.
I do have to say, though, that during the 16 months from February 2023 to June 2024: I was early to AI I wrote a lot It was pretty decent stuff My opinions and predictions regularly proved accurate. One prediction, that Apple might get pinched by the AI emergence, is playing out in front of our eyes right now. Really, OpenAI?
She currently runs design is a party , an alternative online design school where she teaches courses like The Art of Visual Design and Prototyping with Cursor.
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. The future of product management will involve using more AI tools, like advanced language models and creating fake data for testing.
I’m disappointed to see the rise of generative AI tools that are designed to replace discovery with real humans. And I like to use opportunity solution trees to visualize our work to help us stay aligned on what we think we know. Everything we do in discovery is in service of that. Too many generative AI tools miss this point.
Transforming User Experience: Exploring the Game-Changing Capabilities of ChatGPT APIs in Next-Generation Applications Are you ready to take your applications to the next level with the power of conversational AI? ChatGPT API is the key to unlocking a whole new level of engagement and automation.
As AI tools become more common, product leaders face new challenges in managing teams, fostering innovation, and maintaining a positive work environment. In this episode, Tiffany Price explains how AI impacts workplace culture, team dynamics, and leadership strategies, offering insights for product managers in this evolving landscape.
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