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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 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.
Without effective UX analytics that goes beyond collecting data, you’re losing valuable customers. Unfortunately, the research backs this up, with a staggering 90% of users reporting that they stopped using an app due to poor performance. It covers key topics, such as: Defining UX analytics.
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. Discovery is a team sport. Its not the exclusive domain of product managers. How are we building production-quality software?
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.
A product manager’s guide to breaking free from reactive problem solving Watch on YouTube TLDR In my recent conversation with Doug Hall, master of turning chaos into clarity, we explored how product managers and innovation leaders can break free from reactive problem-solving and create more value through proactive innovation.
“Product thought leaders talk about an ideal way of working. I realize that many product people have never worked in a product trio , don’t have access to customers, aren’t given time to test their ideas, and are working in what Marty Cagan calls “features teams” or “delivery teams.” product outcomes).
You know your product collects tons of data. Datavisualizationtools help turn your messy spreadsheets into clear, interactive insights. The best ones dont even need SQL or data science skills. Because productanalytics should be easy and accessible for everyone, not just data experts.
I’m disappointed to see the rise of generative AI tools that are designed to replace discovery with real humans. 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. Don’t get me wrong.
Each week I tackle reader questions about building product, driving growth, and accelerating your career. Laura and her team spend every working hour researching, designing, and experimenting with ways to measure and improve team velocity (while avoiding burnout). Her background is in developer tools and distributed systems.
Some people argued a different role owned defining the ideal customer profile (ICP) there were votes for product, sales, customer success, and even finance. Product (and design and engineering) needs to know who they are building for. In 2022, 1,998 of you told us about your product trio habits. And it got me thinking.
In addition to delivering a keynote at the Product at Heart conference (in case you missed it, you can find the video and transcript of that presentation here ), conference co-organizer Petra Wille also invited me to participate in a fireside chat at the Leadership Forum event. Introduction: What Is ProductDiscovery?
To do this, we believe that understanding our customers and how they use our products holistically is critical. Gaining that holistic understanding, however, is a huge, ever-changing challenge – it requires deep context into our products, customers, and business. Research and data science, combined.
Wouldn’t it be great to see all user interactions with your product as they happen? Think about all the insights you could gather to improve the user experience. Session recordings vs. heatmaps While both heatmaps and session recordings shed light on user interactions, they provide different insights.
Case Study: Improving Data-Driven Decision Making for CSR Leadership Civian is a data-driven platform designed to help businesses measure, optimize, and showcase the social and economic impact of their investments in communities. Our Process To make our interviews more fruitful, we established specific research objectives.
Leading a product team (or several teams) comes with its own set of challenges that’s often similar to but distinct from the hurdles individual product contributors face. That’s why it’s especially enlightening when you encounter a product leader who is willing to openly share the challenges they’ve faced. Stephanie: Absolutely.
It’s true that discovery takes time. Interviewing customers , building opportunity solution trees , running assumption tests —these are all activities that take your attention away from delivery. But I’m also a firm believer that discovery doesn’t come at the expense of delivery. Teresa Torres: Hi, everyone.
Welcome to JEDI Training for Continuous Discovery Teams. I work as a productdiscovery coach. I’ve had the luxury of working with teams all over the world, and I teach them a structured and sustainable approach to continuous discovery. Here’s how I’m redefining JEDI training in a product context.
A self-servicedata platform is the backbone of informed decision-making and a growing SaaS business. But how do you choose the right data platform for productanalytics ? Let’s go over what a data platform is, its importance, and the must-have features you should consider to choose the right platform for you.
Last week, I was in Cleveland for the Industry Product Conference. I spoke about the three mindsets that help a team find success as a continuous discovery team. Becoming a successful discovery team. Product management is changing. Product managers are evolving from focusing on outputs to outcomes. Tweet This.
If there is one thing thats altering the way we create user experience (UX) designs and conduct research in 2024, it is definitely artificial intelligence (AI). Well start with an overview and explore how AI can take on tasks such as analyzing user data and automated prototyping to help professionals connect with users on a humanlevel.
Engineers are often reluctant to participate in discovery. But there are many reasons why engineers are one of the essential members of the product trio. Engineers will hear different insights during your customer interviews. Their perspective is valid and can lead to meaningful product improvements.
A customer sentiment dashboard is a great way to visualize customer feedback and see what users love (or hate) about your product. But how do you collect the right data for your analysis? This article shows you a step-by-step process and some of the best tools to use. However, a single data source (e.g.,
But all too often the way the underlying data is collected makes NPS little more than a vanity metric, easily rigged to give the impression of positive customer sentiment, leading to shallow insights and false assurances. Revamping how we do NPS surveys. Defining which customers to survey. What is Net Promoter Score?
Regular touch points with customers are a pillar of continuous discovery. If you’re not regularly talking directly with your customers, you increase your risk of building a product that no one wants or needs. Regular touch points with customers are a pillar of continuous discovery. Tweet This. Get in touch to let me know!
Guest Post by: Vivek Karna (Mentee, Session 11, The Product Mentor) [Paired with Mentor, John Masterson]. As I strive towards becoming a product leader, I wanted to understand the best practises in product management and in the process develop my own product philosophy. . Understanding the Role Definition.
Mastering the craft of product management is no easy task. I instead define a product manager as driving the vision, strategy, design, and execution of their product. It's equally important for product managers to think about each of these four dimensions as having a concrete set of deliverables. Vision: Vision Narrative.
If 2020 has taught us anything, it’s that predicting the future is hard and in this episode, sponsored by Amplitude, we turn to Margaret Heffernan to learn how to do it better. The post Making Better Predictions – Margaret Heffernan on The Product Experience appeared first on Mind the Product.
In SaaS, a customer onboarding dashboard can become a massive productanalyticstool to understand and optimize the user journey. But what type of dashboards can you use to analyze your onboarding process? Let’s explore how a customer onboarding dashboard works and see different examples.
Or rather, two – conversation topics and custom reports. To understand a bit more about the launch, we’ve gathered some of the folks behind it: Thomas Creighton de Farias – Senior Product Education Producer. Orinna Weaver – Senior Product Marketing Manager. Rati Zvirawa – Product Manager. Tanya Sivo – Product Designer.
What product managers need to know about the Targeted Innovation Process Watch on YouTube TLDR The Targeted Innovation Process is a practical framework that helps product managers drive innovation in their organizations. It’s what helps create products that customers love and keeps companies successful in the long run.
Performance reporting is essential for product and project managers to make data-driven decisions. TL;DR Performance reporting is the process of collecting , analyzing, and presenting data on product or project performance. It allows teams to identify areas for improvement and make data-driven decisions.
Our industry is in the midst of a big philosophical debate about the fundamental way of thinking about how we build our products, with the focus shifting from the outputs of what we build to the business outcomes generated by those outputs. The Product Impact Framework felt like a natural progression from features to outcome.
With the vast number of people required to conduct research efficiently, orchestrating this symphony of manpower and resources can be incredibly challenging. TL;DR Research operations (also known as ResearchOps) consist of organizing people, resources, and processes to streamline research and maximize impact.
One of the most common responses I get when I talk about continuous discovery is: “That would never work in my organization.” But after working with thousands of product people and organizations of all kinds, I can tell you that everyone is capable of making progress on their continuous discovery journey. What Is Discovery?
How to plan, conduct and report usability studies. Photo by UX Indonesia This ‘complete’ guide to usability testing follows an overview in my UX research methods playbook articles. Photo by KOBU Agency Usability testing is a user experience (UX) research methodology carried out to uncover problems and opportunities in a design.
For the past eight years, I’ve been working with C-Suite leaders at companies big and small to set up their Product Management organizations. At all of them, I start understanding the current state of Product Management. I gather data through surveys about observations. Lots of data goes into pinpointing.
Do you sit at night wondering how your users interact with your product? You can get the answers you need simply from product management analyticstools. To help you know which tool to use, this article will cover the ten best productanalyticstools. Do they like it?
Surveying your mobile customers is a great way to find out more about who they are, what drives them back to your app, how they feel about your app, and what they’d like improved. When a brand combines individual customer data points to calculate such averages, it sacrifices the individuality of each customer. Gather productfeedback.
This is because they haven’t conducted any customer research to determine whether the product they are building is actually what customers want. To gather the information needed to avoid this, quantitative data is a valuable tool for all startups. It is often shown in bar or pie charts.
Guest Post by: Candice Zhang (Mentee, Session 11, The Product Mentor) [Paired with Mentor, Tauheed Ahmed]. When I first researched about product management, I asked seasoned product managers how they started and they gave me very different kinds of answers. It is a good tool to have and can be used over and over again. .
I want to share a little bit more about the work that I am doing there as I think it’s relevant for people working at companies who are starting to adopt continuous discovery practices (in other words, many of you). Students learn the same design process I teach to the product teams that I coach. It will look very familiar to you.
Guest Post by: Merziyah Poonawala (Mentee, Session 9, The Product Mentor) [Paired with Mentor, Joni Hoadley]. Read on to learn how, through collecting and analyzing their operational data, a team was able to quantify and improve their processes on the path to being able to establish clear release plans for the project.
Product thinking is all about putting yourself in the other person’s (user) shoes. Only by adopting a product-thinking mindset and following it as a process can you get to know your users better. TL;DR Product thinking is the process of identifying problems and coming up with solutions by placing the user in the center.
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