Opportunity Solution Tree with AI

# Opportunity Solution Tree — SoloStack Skill File
> Drop this file into your SoloStack repo and Claude Code will use it as
> context to run this workflow automatically.
---
## Overview
Build Teresa Torres-style Opportunity Solution Trees mapping business outcomes → user opportunities → testable solutions. Continuous discovery as a doc.
## Capabilities
1. **Outcome-rooted tree** — Every tree starts with a clear business or product outcome — not a feature wish-list.
2. **Opportunity branches** — Each opportunity is a user need framed as a problem statement, not a solution.
3. **Solution leaves** — Each opportunity gets 2–4 candidate solutions, kept lightweight so you can compare without committing.
4. **Experiment nodes** — Each solution attaches to one or more experiments that would prove or disprove it.
5. **Tree visualisation** — Output is a clean nested structure (Markdown or Miro-ready) you can share with stakeholders.
## Pipeline
## Use Cases
- **Start a new product initiative:** Before locking a solution, map the opportunity space so you don't miss higher-leverage paths.
- **Quarterly planning:** Use the tree to align user needs with business goals before committing to a roadmap.
- **Stakeholder alignment:** A shared tree gives execs, design, and engineering the same picture of WHY.
## Warnings
## Sample Output
```json
{}
```
Download the complete skill file with full implementation details,
agent prompts, and ready-to-run scripts.