Game Thinking

Prototype your Customer Journey with AI Storyboards

Disney

Electronic Arts

The New York Times

Microsoft

Replika

Amy Jo Kim, Ph.D.

Game Designer & Startup Coach - helped create The Sims, Covet Fashion, Rock Band

Learn which time-wasting mistakes you need to avoid when testing fake landing pages & Figma mockups

3 prototyping mistakes – & what to do instead

Discover the 4-part framework that lets you spot engagement problems during early concept tests

Spot retention problems early in development

Get specific prompts & expert tips that will help you create your own end-to-end storyboards

Storyboard your Customer Journey 10X faster with GenAI

Have you seen other PMs leveraging AI to ship prototypes at lightning speed , but when you try it yourself:- Basic tutorials leave you stuck on simple examples ?- Technical obstacles slow your momentum ?- Debugging feels impossible without coding experience ?- You're unsure which AI tools actually deliver value ? You know mastering AI prototyping could transform your workflow. But the path from curiosity to confidence isn't clear. With AI, you can build functional prototypes in minutes. The challenge with AI prototyping isn't getting started — it's understanding what these tools can and can't do. That’s why this cohort is designed to expose you to essential AI prototyping tools and their unique capabilities. You'll learn to debug issues (even without coding experience) to stay productive and deliver real value. And our community will be here to give you the support, guidance, and accountability you’ll need to finally stick with it. In just 4 weeks, you'll go from zero experience to shipping multiple prototypes -- from interactive prototypes to accompany your PRD, to personalized tools that boost your productivity. Now imagine if you could: ✅ Ship prototypes in hours without getting stuck in an infinite loop ✅ Learn how software applications work by building them ✅ Build personalized software to fit your exact needs ✅ Master advanced concepts like integrations to supercharge your prototypes Getting started is easy. 1️⃣ Begin with my 5-day email course to build your first AI prototype this week (sign up below!) 2️⃣ Join the 4-week cohort to master AI prototyping tools, debug common issues, and integrate with other apps in minutes&nbsp; 🔥 All alumni can stay up to date with our private community with weekly demos, 1:1 support, and more! 📣 Live sessions are at 1PM EST and 5PM EST! You can pick whichever works best for you! All live sessions are recorded. 🎉&nbsp;Bonus:&nbsp;When you enroll in this course, you’ll receive $1,395 in free credits to level up your workflow with Superhuman, Linear, Sprig, Dovetail &amp; Gamma PLUS one month sponsored with Replit Core &amp; Bolt Pro (see FAQ for details) Interested in an enterprise license so your whole team or company can take the course? Please reach out directly to colin@techforproduct.com

Convert your PRD to a prototype in minutes

Provide a brief description for each module as a way to sell the value of what students will be learning throughout the course.

First Module

Second Module

Third Module

Course syllabus

Get 1:1 help with your prototypes and questions

Office Hours

Live, interactive sessions where we dive deeper into AI prototyping and go through scenarios

Live Sessions

Complete a weekly project to apply what you've learned

Weekly projects

Course schedule

Senior Product Managers who want to leverage AI to iterate faster

Product Leaders who want to get first-hand experience with how AI is transforming product development

UX Designers who want to translate their designs into functional prototypes the same day

Who is this course for

What you’ll get out of this course

Master cutting-edge AI tools like Bolt, V0, Replit, and Claude to accelerate your development process. You'll learn practical workflows that go beyond basic prompts to create functional prototypes.

Learn to use AI prototyping tools

Get hands-on experience building real-world applications, from simple MVPs to complex features. Through guided projects, you'll develop a portfolio of working prototypes that demonstrate tangible AI development skills.

Build 5+ prototypes in 4 weeks

Develop a mental model of how modern applications are structured and how different components work together. This foundation helps you make better architectural decisions and communicate more effectively with developers.

Build a fundamental understanding of how software works

Learn systematic approaches to troubleshoot common AI coding issues and improve your prototype quality. You'll master techniques for error handling, prompt optimization, and code refinement that help you build production-ready features.

Discover 6 strategies for debugging to get high-value apps

Connect your prototypes to popular platforms and APIs without complex setup. You'll learn streamlined integration patterns that work with tools like Slack, Google Sheets, and your existing product stack.

Integrate with your favorite tools in minutes

Get direct access to an experienced PM and builder (me!) who can help you resolve technical and product challenges.

Weekly office hours and Q&A

Build your first AI prototype next week -- even if you have no coding skills

Cohort 2

Colin Matthews

Sold my first SaaS in 2021. Product Manager, 8500+ students, featured by Lenny.

Cohort 1

Cohort 3

TL;DR: You'll learn the step-by-step process for conducting a Behavioral Design Sprint leveraging the Make It Toolkit from behavioral challenge statement to prototyping and validating your behavioral design hypotheses. All GenAI-powered (human in the loop)! We took the original Design Sprint process and made it more human-centered by integrating the Make It Toolkit for behavioral design into it - we call the new and improved process The Behavioral Design Sprint: Prepare &amp; Strategize:- Choose a Product or Service- Define target behaviors to encourage or discourage- Formulate a behavioral challenge statement Map &amp; Understand:- Start at the end, map the behavior journey- Utilize the Make It Toolkit Five Laws of Behavior to analyze the customer journey- Identify Make It barriers to progress- Identify and prioritize opportunity points (design interventions)- Prioritize Opportunity (design intervention) Points using RICE Prioritization method- ChatGPT prompt empowered leveraging the Make It Toolkit Five Laws of Behavior and RICE Prioritization Method Ideate &amp; Visualize:- Idea generation using the Make It Toolkit strategies and tactics- Idea refinement leveraging combo/trade-offs to evaluate different Make It Strategy combinations- ChatGPT prompt empowered using the 15 Behavioral Design Strategies within the Make It Toolkit Prototype and Build:- Formulate a set of behavioral design hypotheses- Choose Design Method and Fidelity (storyboard, mock-up, wireframe, etc.)- Visualize and Build/Prototype Solution Concepts- Utilizing ChatGPT prompting and a GenAI powered UX/UI Toolset Test and Validate:- Prototype the chosen Solution Concept using GenAI-based tools- Recruit targeted audience for the Test- Test and Validate the Solution Concept referencing Behavioral Design Hypotheses- Utilizing ChatGPT prompt-driven test and validation criteria alongside best-of-breed tools The enter process is GenAI-powered with a human in the loop where required (you get to decide). The course is Case Study-based and I've hand-picked three specific case studies (e.g., healthcare, renewable energy, and financial services) to guide your learning journey. You'll learn about the key differences between traditional customer journey mapping and behavioral journey mapping (e.g., focus, design objectives, psychological elements, and outcome vs. process orientation). You'll get an overview of the Five Laws of Behavior: 1st Law: B=f(P*E) by Kurt Lewin; 2nd Law: B=S1+S2 by Kaniel Kahneman; 3rd Law: A-&gt;B-&gt;C by B.F. Skinner; 4th Law: B=MAP by B.J. Fogg; and 5th Law: B=f(I,E) by Deci and Ryan. You'll learn about the Five Core Components of a Behavioral Journey Map: (1) Behaviors&nbsp;- what does the user do represented as a behavioral journey map? starting at the end and mapping out all user behaviors and associated user tasks. (2) Prompts&nbsp;- what internal or external triggers prompt the behavior? All behavior is prompted whether internally or externally. (3) Consequences&nbsp;- what are the immediate and/or delayed consequences (positive or negative) of the behavior? (4) Barriers&nbsp;- what prevents people from taking action or making progress? are there motivational, ability, or prompt/attention-related behavioral barriers to progress? (5) Opportunity Points&nbsp;- what opportunities are there to help the user make better progress and/or improve the overall experience? You'll learn about how to identify and leverage different Design Intervention Strategies: (1) Antecedent Intervention&nbsp;- involves setting up new cues or prompts to trigger the behavior and/or refining them to make them more effective; (2) Behavioral Intervention&nbsp;- focusing on modifying the environment and/or the process surrounding the behavior, helping people overcome identified barriers to progress (person, environment, motivation, ability, and/or prompt/attention); and (3) Consequential Intervention&nbsp;- ways in which to impact or modify the outcomes (positive or negative) of a behavior in order to reinforce its occurrence. You'll learn about leveraging the 15 core makeit behavioral design strategies and associated tactics for helping people make user's make progress and achieve desired outcomes. A few examples of the makeit behavioral design Strategies you'll learn to apply: -&gt; Make it Easy: Decrease the real or perceived cost and the cognitive or physical effort required to encourage a behavior. -&gt; Make it Attractive: Frame choices, goals, and experiences as familiar, relevant, and immediately beneficial, appealing to the senses or in comparison to alternatives. -&gt; Make it Tangible: Encourage and reinforce behaviors, effort, progress, and success with tangible incentives and rewards. -&gt; Make it Empowering: Increase the sense of autonomy, control and choice over people’s course of action and encourage creative, strategic, and adaptive thinking. -&gt; Make it Yours: Build commitment and leverage or increase people’s sense of ownership and attachment to outcomes, products, and experiences. -&gt; Make it Meaningful: Leverage people’s beliefs, need for order and context, and connect the desired behaviour, goal, or experience to higher values that transcend the individual. and more! How to Design with Behavior in Mind. You'll learn about the makeit toolkit's Comb/Trade-off process to present, evaluate, and improve ideas via cross-team inspection as part of the ideation process. You'll learn how to formulate Behavioral Design Hypothesis(es) to guide and inform your prototyping and testing efforts with real customers. And finally, you'll learn how to Prototype and Test your ideas/solution concepts leveraging best-of-breed GenAI tools for UX/UI helping you plan, execute, and validate your ideas with actual customers. Throughout the process, we'll teach you how to leverage Generative AI (ChatGPT) as part of the makeit Behavioral Design Sprint approach. The practical methods you learn will help you in introducing a behavioral design process to your teams. It's going to be an amazing course! We cannot wait to share with you these practical and empowering methods and tools for GenAI-powered behavioral design efforts!

GenAI-driven case study to run a behavioral design sprint using Make It Toolkit

We'll meet LIVE as a cohort walking through specific topics each session, building behavioral journey maps, ideating on behavioral design strategies + tactics, behavioral design hypothesis, prototyping and testing solution concepts. All GenAI-powered + Human in the Loop!

LIVE Cohort - Eight Sessions  across Five Weeks

Session 1: Course overview and Make It Toolkit Session 2:Behavioral Journey Mapping Session 3: Ideation and Solution Concepts Session 4: Demo Day GenAI Tools Session 5: Prototyping Session 6: Testing Session 7: Showcase (prototyping results) Session 8: Your GenAI Portfolio

The GenAI-powered Behavioral Design Sprint

Additional Office Hours between sessions with provide further Q &amp; A opportunities, three of them, spread out throughout the course to raise up and discuss any topic related to the course.

Office Hours - Q & A

Leveraging the student portal on the Maven platform for posting announcements, reading materials, general discussion, and takeaways from the class.

Student Portal for Cohort Discussions, Sharing of additional Resources

Product managers wanting to make sure the products and services they design are behavioral informed and more likely to succeed.

Designers wanting to have better context around the users they are designing for and the specific behaviors that need to be influenced.

Behavioral scientists seeking to better integrate applied behavioral science into the design process.

Researchers wanting to ensure that the insights they capture help contextual inform the specific user behaviors to be influenced.

Scrum masters looking to better align teams on more focused customer outcomes via a behavioral challenge statement.

Collectively, aligning a team around a set of behavioral design hypothesis to influence customer decision making &amp; progress moving forward.

The step-by-step process for conducting a Behavioral Design Sprint leveraging the Make It Toolkit from behavioral challenge statement to prototyping and validating your behavioral design hypotheses. All GenAI-powered (human in the loop)!

The GenAI-powered Behavioral Design Sprint (Human in the Loop)

How we made the Design Sprint process more human-centered by integrating the makeit toolkit into it. Starting with a behavioral challenge statement.

Introduction to the Make it Toolkit for Behavioral Design

The Five Laws of Behavior B=f(P,E) Kurt Lewin, B=f(S1,S2) Daniel Kahneman, (A-&gt;B-&gt;C) B.F. Skinner, (B=MAP) BJ Fogg, and B=f(I,E) Deci &amp; Ryan to inform behavioral design.

Introduction to the Five Laws of Behavioral Science

The core differences between a behavioral journey map and a traditional journey map (focus, design objective, orientation) and the five core components to a behavioral journey map (prompts, behavior, consequences, barriers, and opportunity points).

Behavioral Journey Map vs. Traditional Journey Map

An interactive, case study based exercise to create a behavioral journey map from start to finish, Covering in detail the five core components: behavior, prompts, consequences, barriers, and opportunity points.

Interactive Behavioral Journey Mapping Case Study

As part of the case study based exercise learning how to leverage the fifteen (15) makeit behavioral design strategies and associated tactics to ideate on how to better influence customer progress and design a better experience.

Ideating leveraging the 15 makeit Behavioral Design Strategies

Formulating a behavioral design hypothesis to drive prototyping and validation with consumers or customers aligned with the original behavioral challenge statement.

Formulating a Behavioral Design Hypothesis

Prototyping, testing and validating ideas/solution concepts leveraging best-of-breed GenAI powered toolsets for storyboarding, UX/UI prototyping and design, rapid usability testing and research synthesis.

Prototype, test and validates your Ideas/Solution Concepts

A GenAI behavioral design sprint case study demonstrating your knowledge of how to leverage generative AI-based methods and tools to facilitate and empower the design process with a cross-functional team.

GenAI Design and Prototyping Case Study

Master GenAI powered human-centered experience design using the Makeit toolkit for effective behavioral product & service design.

JOHN GUSIFF

Mahnaz Hajesmaeili

Cohort 4

The AI Tech Revolution is Here, But User Experience is Lagging Behind As AI rapidly transforms industries, businesses are racing to integrate it into their products. Yet, many are overlooking one critical factor: user experience. Powerful AI algorithms are only part of the equation—without thoughtful design, these technologies risk alienating users, creating frustration, and failing to deliver meaningful value. The problem? Designing for AI isn't the same as designing for traditional software products. It requires a new way of thinking, one that blends user-centered design principles with an understanding of AI’s capabilities and limitations.For designers and product leaders, the challenge lies in bridging this gap. The UX Design Gap in AIDespite the explosion of AI-powered products, many design teams struggle with:Understanding how AI changes user interactions and workflowsDesigning interfaces that are intuitive and transparent about AI functionalityBalancing user control with AI automationCreating trust through thoughtful design choicesPrototyping and testing AI interactions effectivelyBut it doesn’t have to be this way.With the right frameworks and hands-on experience, you can design AI-powered experiences that are clear, effective, and user-friendly. What You Will LearnThis course focuses on learning by doing. Over 5 weeks, you’ll work on a hands-on project, applying each week’s insights to create a portfolio-worthy AI design project. Week 1: Designing for AlignmentLearn what makes AI design unique by understanding its capabilities, limitations, and user mental models.Define your AI design project with clear goals. Week 2: Foundations of Human-Centered AI DesignGrasp core principles of human-centered design for AI applications.Refine your project scope using these fundamental insights. Week 3: Conversational and Multimodal AI DesignExplore key AI interaction patterns such as conversational interfaces and hybrid systems.Map out clear, intuitive user flows for your AI experience. Week 4: AI Design Patterns and PrototypingDevelop multiple design solutions and build interactive prototypes.Test and refine your designs to ensure usability and clarity. Week 5: Final Project DevelopmentPresent your AI design project with a clear, compelling narrative.Polish your case study into a professional portfolio-ready presentation. Build Confidence Through Hands-On PracticeThis course isn’t about theory—it’s about building, testing, and refining. Each week, you’ll work on your project with guidance, feedback, and peer collaboration. By the end, you’ll have:- A polished AI design project ready for your portfolio- Practical experience designing AI-powered interactions- The confidence to take on AI design challenges in real-world projectsWhether you’re aiming to lead AI design projects, expand your expertise, or land a role in the growing field of AI design, this course will equip you with the skills and insights to succeed.

The UX Design Challenge for AI Applications

Build foundational AI design skills with expert-led modules. Learn user-centered AI design principles, perfect for busy design leaders and professionals.

OnDemand Content

Design AI experiences and receive weekly expert feedback on your portfolio project. Build a real-world AI design solution, ready for your professional portfolio.

Capstone Project

Join live sessions with your instructor for Q&amp;A, portfolio feedback, and insights on AI design decisions. Ideal for design leaders guiding AI-focused teams.

Live Design Sessions & Portfolio Feedback

Get in-depth strategies for AI design, ideal for design leaders wanting to develop the skills to lead teams in the AI design landscape.

Access to Advanced AI Design Strategies

Receive an official certificate upon completion of the course, demonstrating your expertise in designing user-centered AI solutions.

Certificate of Completion

UX &amp; Product Designers. Ready to design impactful AI experiences? Learn to create AI-driven products and build a portfolio that stands out.

Product, Design &amp; Research Leaders. Shape the future of AI. Master human-centered design principles and lead teams in creating AI

Aspiring AI Professionals. Looking to enter the AI field? Develop the skills to design, prototype, and test AI solutions.

Gain a deep understanding of key AI design principles through our HCAI Design foundations Guide and lecture series

A Strong Foundation in AI Design

Learn to define northstar AI UX journeys and conversational UX flows using our AI Interaction Frameworks and Guides.

Hands-On Experience Designing AI User Flows

Build interactive prototypes with tools like Figma or VoiceFlow and refine them through structured Usability Testing Guides.

Practical Skills in Prototyping and Testing

Craft a polished AI design project, tell a compelling story using Portfolio Case Study Templates, and present your work with confidence.

A Portfolio-Worthy AI Design Project

Learn to design AI products that are intuitive and valuable. Build your AI project portfolio, get certified as an expert in UX for AI

Rupa Chaturvedi

70,000 AI companies are competing for attention. Only 25% will survive due to go-to-market failures. How will you stand out and find paying customers for your AI?&nbsp; Channeling the conversations I have with AI product makers daily, these are their key challenges:&nbsp;•&nbsp;How do I decide between different ICPs and find “the one”?•&nbsp;How to craft positioning that will win the hearts and minds of ICP beyond "this is AI (something)"?•&nbsp;How to price the AI solution (usage bases-credits, fixed fee, number of seats …)?•&nbsp;How to win mission-critical traction (get users and customers) to make the go-to-market mission a win (before running out of budget/funding)?•&nbsp;How to reduce churn and create upsells after a successful launch?•&nbsp;… BTW - any chance we could build a growth loop to grow exponentially? 🤠 After working with 74 AI companies in the last 6 months, one thing became painfully clear to me: getting thousands of people to try your AI product is relatively easy.Building a sustainable business isn’t. My mission is to guide you on how to make your go-to-market decisions with confidence and help you win (often against the odds). We will do what is mission-critical to succeed. I am all about “test - do not guess”. During five workshops, we will cover all elements of the go-to-market strategy:•&nbsp;GTM Plan: present your GTM on a one-pager and commit to the plan needed to do what is mission-critical.•&nbsp;ICP and deciding between multiple ICPs:&nbsp;scoring and testing.•&nbsp;Positioning: develop your winning combo of UVP and USPs that will bring in news clients.•&nbsp;Pricing for AI: understand pricing strategies, packaging, value metrics and build your pricing page v01 based on best practices.•&nbsp;GTM actions, GTM motions, and growth loops: win early traction (1000s of users), learn how to close the deals (sell) and start building predictable and repeatable ways to win customers (GTM Motions) so you no longer have to worry where your next customer is coming from. THIS IS HOW THE COURSE IS DESIGNED:•&nbsp;5 workshops in 5 weeks•&nbsp;The lessons include concepts of PLG and Sales-Led AI B2B products (I use these workshops at my consulting gigs)•&nbsp;You work on a dedicated Miro board (170+ elements)•&nbsp;Live weekly Q&amp;A to exchange best practices•&nbsp;Discussions in the online community•&nbsp;BONUS: An individual 90-minute session with every participant to make sure your GTM plan is bulletproof. Here are some examples from teams I work with:•&nbsp;AI for legal found 2K+ users by posting in 5 Facebook groups ($0 budget)•&nbsp;Dev AI library hit #1 on Hacker News and sold five high-ticket deals&nbsp;•&nbsp;AI Healthhech attracted 1.5K users with $2000•&nbsp;AI SDR tool invested $6K in B2B influencer collabs to get 80+ MQL meetings&nbsp;•&nbsp;AI Martech got 3K registrations with 2x LinkedIn viral posts&nbsp;•&nbsp;AI PM tool got 7K users on Reddit This program costs less than 2 hours of consulting work I normally do. If I do this type of work for bigger companies, the pricing starts at 6K. Yet, I invite you on this 5-week value-packed journey for a price that I would happily pay myself as an individual to learn these things - because let’s face it, if you get like 2-5 clients using this method, it is already a positive ROI. Why?&nbsp; Because I want to try something new and build more success stories of AI products with products that will be the next “OpenAIs and Clays.” It would be my honor to be among the first people to work with you. So I made it really accessible.

Getting AI users is relatively easy. Building a sustainable business isn't.

If your events are recurring and at the same time, it might be easiest to use a single line item to communicate your course schedule to students

Tuesdays & Thursdays

Feel free to type out dates as your title as a way to communicate information about specific live sessions or other events.

May 7, 2022

Schedule items can also be used to convey commitments outside of specific time slots (like weekly projects or daily office hours).

AI Product Managers who need to turn more users into paying customers

AI Founders who need to move faster with building a sustainable business

This course is for builders of great products

You will get the idea which customers to laser-focus on first, where they seek solutions, and what is the best way to reach them.

Know which customers to target

You will learn how to position your product and what kind of messaging you need to turn leads and free users into customers.

Messaging to turn free users into customers

I will guide you how to price and package your product to start generating profit before you run out of money.

Pricing that leads to profit

You will learn how to test which go-to-market motions will bring in the best customers for the least investment. We will also look into growth loops that keep bringing in new customers.

Know how to acquire your best customers

Go-to-Market Playbooks for B2B AI Tech - SaaS and Agents

Lightning Lessons

Prototype your Customer Journey with AI Storyboards