A collection of guides, frameworks, and prompt templates for AI product managers working at the intersection of machine learning, automation, and enterprise software.
These resources are written from the perspective of a practicing AI product manager. They prioritize business context, product design decisions, and human workflows over technical implementation detail.
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Forecasting System Use Cases for Omni-Channel and Marketplace Retail
A PM-focused guide covering new SKU forecasting, lifecycle management, causal overrides, and human-in-the-loop workflows for omni-channel and marketplace retail. -
Using Conjoint Analysis to Estimate Demand for New-to-World Product Features
A practitioner guide for PMs and decision scientists on combining conjoint models to estimate demand for breakthrough product innovation with no historical sales data. -
Designing a Product Category Sizing Tool for Self-Service PM Use
User stories, UX principles, data architecture, and adoption metrics for building a self-service product category sizing tool for PM audiences. -
Using Product Category Sizing to Support New Product Launch Decisions
How to define a product category, estimate its size, derive a revenue opportunity, and stress-test the estimate for a new product launch decision.
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MCP Server Build Prompt for Personal Context Portfolio
A step-by-step prompt to guide you through building a local and remote MCP server that serves your personal context portfolio to any AI tool. -
My Operating Manual -- Personal Context Portfolio Interview Prompt
A prompt that interviews you and outputs 10 markdown files representing your personal context portfolio -- an operating manual for any AI agent that works with you.
Maintained by Kat Villanueva, Senior Product Manager, AI & Automation.