Unlock the power of AI to supercharge your product design process! This demo guides you through capturing raw ideas via voice recordings, organizing them into agile user stories with Otter and ChatGPT, and rapidly turning those insights into working app prototypes using Figma Make. You’ll learn to mine your own thoughts for powerful features and pain points, map these to real user needs, and supercharge your workflow with cutting-edge tools. By the end, you’ll be ready to turn any burst of inspiration into design-ready prototypes and actionable development steps.
In this video, you'll learn how to transform your brainstorming sessions and unstructured ideas into actionable agile user stories using AI tools and Otter transcription. By following the process demonstrated, you'll discover how to mine your thoughts for key features and pain points, then organize them into structured requirements. Viewers will see how to use these user stories to generate rapid app prototypes with tools like Figma Make and refine them for a real-world project. By the end, you'll have the methods and confidence to turn your random ideas into clear, design-ready prototypes and workflows.
Following are the key things you will be able to do after you watch this demo:
Here is the template you can clone to define your app.
Click here to get the ultimate prompt cheat sheet of every prompt used end to end.
Click here to get the 10 step workflow summary guide and supplemental resources.
AI-Driven Prototype Development Process 0:09
Josh Lomelino explains the process of creating AI-driven prototypes using tools like Figma, Proto.io, and others.
The goal is to create a template that can be integrated into manual prototypes, eventually leading to a full app experience using tools like Lovable or Bubble.
Emphasis on the importance of a clear product definition and agile user stories for successful AI development.
Josh demonstrates how to train a chat on app features and user stories, using his app "Reclaim You" as an example.
Training ChatGPT for User Stories 4:30
Josh shows how to train ChatGPT on audio brainstorming sessions using Otter for transcription.
He explains the process of exporting SRT files from Otter and using them as inputs for ChatGPT.
The goal is to capture random thoughts and ideas, which AI can then organize into structured user stories.
Josh demonstrates how to ask ChatGPT to learn from the audio files and generate actionable insights for app features and user stories.
Data Mining and Feature Identification 10:13
Josh discusses the importance of data mining and research to identify core pain points and features for the app.
He shows how to ask ChatGPT to create lists of pain points, issues, and challenges from the data set.
The process involves categorizing pain points into broad buckets like health and wellness, planning and process, motivation and mindset, teaching and engagement.
Josh emphasizes the need for a clear understanding of pain points to develop effective product solutions.
Generating Agile User Stories 17:52
Josh explains how to use ChatGPT to create detailed agile user stories based on the identified pain points.
He demonstrates the process of training ChatGPT on the framework of pain to solution for creating user stories.
The goal is to generate a comprehensive list of user stories that can be used to guide the development of the app.
Josh shows how to create personas for different user groups and generate user stories for each persona.
Prototype Generation with Figma Make 25:43
Josh introduces Figma Make as a tool to generate prototype screens based on the agile user stories.
He explains the process of describing the app in Figma Make, including the app store description and features.
The tool generates HTML code for the prototype screens, which can then be manually refined.
Josh emphasizes the importance of using multiple tools and integrating their outputs to create a comprehensive prototype.
UI Framework and Stencils 35:30
Josh discusses the importance of selecting a UI framework for the final app experience.
He demonstrates how to use UI kits like Bootstrap UI and Material UI to create a consistent UI workflow.
The goal is to ensure that the prototype screens match the final app experience as closely as possible.
Josh shows how to use stencils to quickly create UI elements and save time in the development process.
Reviewing and Refining the Prototype 45:41
Josh explains the importance of reviewing and refining the prototype to ensure it meets the project requirements.
He demonstrates how to identify and fix broken links and other issues in the prototype.
The process involves iterating on the prototype, incorporating feedback, and refining the UI elements.
Josh emphasizes the need for a clear and accurate input to get the best output from AI tools.
Final Steps and Best Practices 46:18
Josh outlines the final steps in the AI-driven prototype development process.
He emphasizes the importance of saving chat history and project documentation for future reference.
The goal is to create a comprehensive and accurate prototype that can be used as a starting point for the final app development.
Josh encourages the use of multiple tools and integrating their outputs to create a robust and functional prototype.