What problem does it solve?
This Skill helps product teams avoid jumping straight to features by turning an existing PMContext into a structured opportunity solution tree. It clarifies the measurable outcome, maps customer-centered opportunities, compares multiple solution paths, and defines experiments before committing to delivery.
Core Features & Use Cases
- Opportunity mapping from PMContext: Extracts expected outcomes, user scenarios, friction points, and constraints to build a four-level OST.
- Prioritization with scoring: Ranks opportunities using Opportunity Score based on importance and satisfaction, helping teams focus on the highest-potential problems.
- Solution divergence and experiment design: Requires at least three solution options per key opportunity across PM, design, and engineering perspectives, then adds testable experiments with success thresholds.
- Use Case: Use it when analyzing a renewal funnel, onboarding drop-off, or any discovery problem where you need to connect customer pain points to prioritized opportunities, alternative solutions, and validation plans.
Quick Start
Ask the AI to use pm-ost to generate an opportunity solution tree from your PMContext for the target product problem you want to structure.