517: How to conduct an AI Design Sprint – with Mike Hyzy

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. Using a custom ChatGPT model combined with collaborative team workshops, product teams can rapidly move from initial customer insights to validated prototypes while incorporating strategic foresight and market analysis. Key Topics: Strategic foresight approach to product development, focusing on customer needs 2-5 years ahead Triple diamond decision framework for analyzing problems, customers, and markets Integration of team collaboration, AI assistance, and external validation Rapid wireframe and UI design generation using ChatGPT and DALL-E Creation of interactive prototypes using CodePen for immediate testing Custom AI model prompts and best practices for design sprint facilitation Early go-to-market strategy integration in the product development process Practical implementation of AI tools to accelerate product innovation Introduction Imagine taking a product concept from initial customer insight to clickable prototype in just a few hours. That’s exactly what I witnessed at PDMA’s recent Inspire Innovation Conference, where Mike Hyzy demonstrated a groundbreaking approach to AI Design Sprints that’s revolutionizing product development acceleration. By combining strategic foresight, a custom ChatGPT model, and collaborative workshop techniques, Mike led how six teams to achieve what typically takes weeks of work in just under three hours. As a product management professor and practitioner, I’ve seen many methodologies for speeding up innovation, but this approach was different – transforming ChatGPT into a virtual team member that accelerates every phase of the development process, from initial concept through digital product prototyping, while ensuring teams focus on solving tomorrow’s customer needs rather than just today’s problems. In this episode, Mike will take us through the steps he led product teams through during his AI Design Sprint workshop. The Critical Role of Strategic Foresight in Product Innovation At the beginning of the workshop, Mike explained the importance of strategic foresight. He emphasized a fundamental shift in how we should approach product development. Instead of focusing solely on today’s customer problems, product teams need to look 2-5 years into the future. This strategic foresight approach to product development isn’t just about making predictions – it’s about understanding how customer needs and market conditions will evolve over time. Mike shared a sobering statistic that highlights why this forward-thinking approach matters: 42% of companies cite “no market need” as their main reason for failure. This happens when teams solve today’s problems without considering how those needs might change by the time their product actually launches. As I’ve seen in my own product management experience, the traditional product development cycle can take months or even years. By the time we launch, the market may have moved on from the problem we originally set out to solve. The Triple Diamond Framework Components To address this challenge, Mike introduced the Triple Diamond Decision Framework, a structured approach that helps teams look ahead while making concrete decisions. Here’s how the framework breaks down: Jobs to be Done Diamond Explore future customer problems and needs Identify emerging pain points Converge on the most critical future needs Customer Analysis Diamond