This appendix provides actionable tools, structured summaries, and practical checklists to help you apply the concepts introduced in chapters 2 through 12.
A.1 How to use this appendix
Whether you’re learning AI product management for the first time or looking for a quick reference, this section serves as a study aid and a cheat sheet to reinforce key frameworks, methodologies, and decision-making processes. Use it to internalize essential knowledge, accelerate implementation, and streamline AI-driven product decisions in your daily work.
A.2 Chapter 2: Discovering and prioritizing AI opportunities
Table A.1 AI opportunity tree
| AI benefit |
Example use case |
| Automation and productivity |
AI-powered chatbots, invoice processing, fraud detection |
| Improvement and augmentation |
AI-assisted writing tools, AI-powered design assistance |
| Personalization |
Tailored content recommendations, AI-driven user experience customization |
| Innovation and inspiration |
AI-generated design concepts, AI-assisted scientific discovery |
Checklist: Sourcing AI ideas
- Analyze customer feedback (support tickets, surveys, product reviews).
- Use team insights (internal brainstorming, domain expertise).
- Monitor competitors (benchmarking AI-driven features).
- Track technological advancements (large language models [LLMs], computer vision, new AI frameworks).
- Consider market forces (regulatory changes, AI-driven shifts in industry trends).