Opportunity Solution Trees

The opportunity-solution-trees skill helps AI agents map product problems to potential fixes by generating structured Opportunity Solution Trees (OSTs). It visualizes the relationship between customer needs, specific opportunities, and the various solutions that address them.

When to use it

• Brainstorming initial product ideas from vague customer feedback or market research.
• Structuring complex problem spaces where multiple solutions might exist for a single opportunity.
• Validating whether proposed features actually align with identified customer needs.
• Creating a roadmap for prioritizing which opportunities to pursue based on solution feasibility.

Key capabilities

• Generates hierarchical tree structures connecting problems, opportunities, and solutions.
• Facilitates systematic exploration of product strategy without requiring manual diagramming.
• Helps organize unstructured brainstorming sessions into actionable frameworks.

Example prompts

• "Create an Opportunity Solution Tree for a mobile banking app where users struggle to find their transaction history."
• "Map out the opportunities and solutions for improving customer retention in a SaaS subscription model."
• "Generate an OST starting with the problem that 'customers feel overwhelmed by too many choices' in an e-commerce setting."

Tips & gotchas

Ensure you provide clear context about the specific product domain or user base, as the AI needs this to generate relevant opportunities. This tool is best used iteratively; start with a high-level tree and drill down into specific branches for deeper analysis rather than trying to solve every problem at once.