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
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.
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. Example: Sarah is a support manager at a fast-growing startup.
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.
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.
1] Below are four examples of how this can be achieved. 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]
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.
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.
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.
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. Examples in Practice Startups often outsource MVP development to launch quickly.
Users input details like height, weight, body shape, and images, and the AI uses this data to generate anavatar. For example, if users bought many items in size L or specific styles or brands in the past, this is considered. For example, consider a sportswear shop. ChatGPT did a good job and gave me the information Ineeded.
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. At the same time, a J.D. Source: J.D.
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 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.
The reason was simple: creating visuals was the only easily understandable skill I had that no one else knew how to do, and it was acknowledged. If I ever take another job as a designer, it will be in an organization where other product or service designers are already part of the team. The best and most sustainable way to do that?
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.
In the workshop, Seth introduced the concept of creating such an assistant, using his own AI persona, named Cyrus Moneypenny, as an example. 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. Instead, take a moment to read closely.
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?
” Most people think of prompting as chatting with ChatGPT, but Sander explains that real leverage comes from crafting high-performing prompts inside products. One of the most powerful techniques is to show the model examples of exactly what you want—called few-shot prompting. Role prompting (e.g.
Like a child, a model “learns” by being exposed to many examples of how people typically respond or behave in different situations. As it sees more and more examples, it begins to recognize patterns, understand language, and generate coherent responses. There are many different types of AI models.
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.
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?
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.
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.
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.
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.
Example: Imagine you’re designing a new dashboard for a fintech app. Example: For our dashboard, we might ask, “How might we create a dashboard that helps analysts quickly spot trends and take action?” Here’s how it breaks down: 1. This step is all about understanding who your user is.
Ulwick realized that if we could predict how customers would measure a product’s value, we could design products to meet those criteria. ” This question led to valuable insights. This framework made innovation more predictable and effective. They help team members understand how to use the data effectively.
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.
Go beyond Chatbots to Unlock Ai’s Potential Generative AI has really shown it can be a game-changer for creating content and generating insights. A lot of teams have found chatbots to be useful, and some are even adding content tools into their products. But conversation wasn’t the only trick ChatGPT had up its sleeve.
And finally, Tali was so convinced of the power of opportunity solution trees that she started leading workshops at product events to teach others how to use this tool. I myself am a visual thinker, and a big believer in external representations as a tool to create common ground (as Barbara Tversky is quoted in Teresa’s book).”
What AI tools you can use. It also enhances their decision-making processes and provides insights necessary to personalize customer experiences , like onboarding flows for greater satisfaction and loyalty. There are also governance and ethical concerns, like data privacy or AI bias. AI analytics are coming soon.
In today’s AI-driven world, the excitement about artificial intelligence is widespread, with numerous tools available to shape our lives and the world. Our blog post guides you through the maze of AI research tools. But the question arises: How useful are the currently available tools, and what challenges do they generate?
A powerful AI tool can be the perfect companion to your customer success platform. However, AI tools also come with their own caveats. In this article, we will explore: How to leverage AI tools for customer success and retention. Best AI tools for customer success managers (CSMs).
We are living in exciting times — the area of the rise of AI tools. In recent months a significant evolution happened in one of the most powerful technologies that impacted the product management space — the emergence of artificial intelligence (AI) tools. You probably heard about chatGPT and the daily changes in the field.
4:43] Do you have an example about starting small to do validation? A friend was working on using large AI language models to help analyze data and produce some metrics about the data. For example, you may need to adjust pricing. 4:43] Do you have an example about starting small to do validation?
I had a lot of fun during this open and candid discussion and I thought Product Talk readers might want to check it out, especially if you’re in a leadership role and you have a product team or teams reporting to you. Arne Kittler provided a warm welcome to the Fireside Chat portion of the Leadership Forum at Product at Heart.
We’ve selected 10 interactive walkthrough examples to get your creative juices rolling! For each example, we covered: The strategy used. We also discussed best practices for delivering the perfect product experience and getting users excited about using your tool. What made the walkthrough great. Key takeaways for you.
In HubSpot’s consumer behavior trends report, 72% of consumers said they’re more likely to make purchase decisions with a brand they can trust their data with. Collect zero-party data : Collecting zero-party data allows for more accurate personalization and gives customers control over their data—building more trust.
Looking for human-centered design examples to inspire you? Both methodologies promote continuous improvement based on user feedback and evolving insights. Both methodologies promote continuous improvement based on user feedback and evolving insights. They encourage creative ideation and cross-disciplinary collaboration.
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