opportunity-solution-tree

Frame stakeholder requests into an opportunity solution tree with outcomes and POC plans.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/GP-SoftwareDivision/genova_ai --skill opportunity-solution-tree-gp-softwaredivision
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: opportunity-solution-tree
Source: https://github.com/GP-SoftwareDivision/genova_ai/tree/main/.agents/skills/opportunity-solution-tree
Command: npx skills add https://github.com/GP-SoftwareDivision/genova_ai --skill opportunity-solution-tree-gp-softwaredivision

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

OST frames vague stakeholder requests into structured discovery by extracting outcomes, identifying opportunities, mapping potential solutions, and selecting validated proofs of concept before building.

Core Features & Use Cases

  • Phase 1: Generate OST (extract outcomes, identify opportunities, map solutions)
  • Phase 2: Select POC (evaluate feasibility, impact, market fit)
  • Facilitates questions, evidence gathering, and experiment planning to avoid premature convergence on solutions.

Quick Start

Start by capturing the stakeholder request, define the Desired Outcome, generate opportunities, map solutions, and plan an initial POC.

Frequently Asked Questions about opportunity-solution-tree

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I frame stakeholder requests for product discovery?

Frame stakeholder requests for product discovery by extracting desired outcomes, identifying opportunities, mapping potential solutions, and planning validated proofs of concept. This structured approach prevents premature convergence on solutions before validating feasibility and market fit.

What is the best way to prioritize opportunities before building features?

The best way to prioritize opportunities before building is to evaluate them based on feasibility, impact, and market fit. By mapping solutions to specific opportunities and planning experiments, you can select the most validated proof of concept to pursue.

How do I map an opportunity solution tree for requirements clarification?

Map an opportunity solution tree by defining a desired outcome, generating opportunities to achieve it, brainstorming solutions for each opportunity, and designing experiments to validate those solutions. This prevents jumping directly from requests to features.

Can I use an opportunity solution tree to evaluate POC selection?

Yes, you can use an opportunity solution tree to evaluate POC selection. The tree facilitates structured evaluation of feasibility, impact, and market fit, ensuring that proofs of concept are chosen based on validated experiments rather than assumptions.

When do I need to use an opportunity solution tree for experiments?

Use an opportunity solution tree for experiments when you need to avoid premature convergence on a single solution. It is applied during product discovery to facilitate evidence gathering, question assumptions, and validate ideas before committing to development.