Description

Introduction
Product managers and UX teams face complex challenges in understanding user needs, prioritizing features, and designing intuitive experiences. Prompt engineering offers a powerful way to leverage AI models to gather insights, generate user stories, and prototype solutions faster. This course guides product and UX professionals to craft effective AI prompts that enhance decision-making and collaboration.

Prerequisites

• Basic knowledge of product management and UX design principles

• Familiarity with user research and agile workflows

• Interest in AI tools for collaboration and ideation

Table of Contents

1. Overview of Prompt Engineering for Product and UX
   1.1 AI’s Role in Modern Product Development
   1.2 Understanding Language Models for User-Centered Design
   1.3 Key Concepts in Prompt Crafting for PMs and UX

2. User Research and Insight Generation
   2.1 Crafting Prompts to Analyze User Feedback
   2.2 Extracting Pain Points and Needs from Surveys and Reviews
   2.3 Summarizing Qualitative Data with AI

3. Ideation and Feature Prioritization
   3.1 Generating Feature Ideas Based on User Goals
   3.2 Using Prompts to Conduct Competitive Analysis
   3.3 Prioritizing Features through AI-Assisted Scoring

4. Writing User Stories and Acceptance Criteria
   4.1 Translating Requirements into Clear User Stories
   4.2 Defining Acceptance Criteria with Prompted Templates
   4.3 Iterating and Refining Stories via AI Suggestions

5. UX Design and Prototyping Support
   5.1 Prompting for Wireframe and Flow Descriptions
   5.2 Generating Microcopy and UI Text Variations
   5.3 Using AI to Suggest Interaction Improvements

6. Cross-Functional Collaboration with AI Prompts
   6.1 Aligning Product, Design, and Development Teams
   6.2 Creating Meeting Agendas and Summaries Automatically
   6.3 Facilitating Brainstorming and Decision-Making Sessions

7. Case Studies and Real-World Applications
   7.1 Launching a New Feature with AI-Driven User Research
   7.2 Improving Onboarding Experience through Prompted UX Testing
   7.3 Enhancing Roadmap Planning with AI Insights

8. Tools, Platforms, and Best Practices
   8.1 Integrating AI Prompts into PM and UX Workflows
   8.2 Template Libraries and Prompt Management
   8.3 Ethical Considerations and Data Privacy

Mastering prompt engineering empowers product managers and UX teams to unlock AI’s potential in creating user-centric products faster and more efficiently. With clear, strategic prompts, teams can enhance research, ideation, documentation, and collaboration, ultimately delivering better experiences to customers.