ai-pm-method-yujun

What problem does it solve?

AI product managers frequently struggle to evaluate if AI features deliver tangible user value, identify why users fail to adopt new AI tools, and balance tradeoffs across multiple stakeholders, leading to unprioritized roadmaps and failed AI launches.

Core Features & Use Cases

• AI-Adapted User Value Calculation: Transforms Yu Jun's classic user value formula to account for AI's probabilistic outputs, letting you quantify the net value of any AI feature or workflow change.
• Multi-Stakeholder Transaction Assessment: Evaluates utility for all involved parties (users, businesses, model providers) and clarifies responsibility for AI hallucinations.
• Actionable Decision Guardrails: Includes 10 evidence-based decision rules, 3 detailed checklists, and anti-pattern guidance to prioritize high-impact AI features and avoid common mistakes.
• Real-World Use Case: Use this skill to evaluate an AI resume polishing tool, run a full value assessment, check stakeholder tradeoffs, and get a data-backed go/no-go recommendation.

Quick Start

Use the ai-pm-method-yujun skill to evaluate whether your planned AI Copilot feature delivers positive net user value for your target user segment.