# Opportunity Solution Tree > Structure product discovery with Teresa Torres' Opportunity Solution Tree - outcome, opportunities, solutions, experiments - **Type:** Skill - **Install:** `agentstack add skill-aleksander-dytko-ai-pm-workspace-opportunity-solution-tree` - **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior - **Seller:** [aleksander-dytko](https://agentstack.voostack.com/s/aleksander-dytko) - **Installs:** 0 - **Category:** [Productivity](https://agentstack.voostack.com/c/productivity) - **Latest version:** 0.1.0 - **License:** MIT - **Upstream author:** [aleksander-dytko](https://github.com/aleksander-dytko) - **Source:** https://github.com/aleksander-dytko/ai-pm-workspace/tree/main/.claude/skills/opportunity-solution-tree - **Website:** https://productpeak.substack.com/ ## Install ```sh agentstack add skill-aleksander-dytko-ai-pm-workspace-opportunity-solution-tree ``` Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent. ## About # Opportunity Solution Tree (OST) A visual framework for structuring continuous product discovery. Connects a desired **outcome** to customer **opportunities**, possible **solutions**, and **experiments** to validate them. ## Domain Context The **Opportunity Solution Tree** (Teresa Torres, *Continuous Discovery Habits*) is the backbone of modern product discovery. It prevents teams from jumping to solutions by forcing them to first map the opportunity space. **Structure (4 levels):** 1. **Desired Outcome** (top) - The measurable business or product outcome the team is pursuing. Should be a single, clear metric (e.g., "increase 7-day retention to 40%"). This comes from your OKRs or product strategy. 2. **Opportunities** (second level) - Customer needs, pain points, or desires discovered through research. These are problems worth solving - not features. Frame them from the customer's perspective: "I struggle to..." or "I wish I could..." Prioritize using Opportunity Score: **Importance * (1 - Satisfaction)** (Dan Olsen, *The Lean Product Playbook*). Normalize Importance and Satisfaction to 0-1. 3. **Solutions** (third level) - Possible ways to address each opportunity. Generate multiple solutions per opportunity - don't commit to the first idea. The **Product Trio** (PM + Designer + Engineer) should ideate together. "Best ideas often come from engineers." 4. **Experiments** (bottom) - Fast, cheap tests to validate whether a solution actually addresses the opportunity. Use assumption testing (Value, Usability, Viability, Feasibility risks). Prefer experiments with "skin-in-the-game" (Alberto Savoia) over opinion-based validation. **Key principles:** - **One outcome at a time.** Don't try to solve everything. Focus the tree on a single desired outcome. - **Opportunities, not features.** "Never allow customers to design solutions. Prioritize opportunities (problems), not features." - **Compare and contrast.** Always generate at least 3 solutions per opportunity before choosing. Avoid the "first idea" trap. - **Discovery is not linear.** Loop back if experiments fail. Kill solutions that don't validate. Explore new branches. - **Continuous, not periodic.** Update the tree weekly as you learn from interviews, analytics, and experiments. ## Instructions You are helping a product team build an Opportunity Solution Tree for **$ARGUMENTS**. ## Input Requirements - A desired outcome or business metric to improve - Customer research data (interviews, surveys, analytics, feedback) - Optionally: existing opportunities or solution ideas to organize ## Process 1. **Define the desired outcome** - Confirm or help articulate a single, measurable outcome at the top of the tree. 2. **Map opportunities** - From provided research, identify 3-7 customer opportunities (needs/pains). Group related opportunities. Frame each from the customer's perspective. 3. **Prioritize opportunities** - Use Opportunity Score or qualitative assessment to rank. Focus on the top 2-3. 4. **Generate solutions** - For each prioritized opportunity, brainstorm 3+ solutions from PM, Designer, and Engineer perspectives. 5. **Design experiments** - For the most promising solutions, suggest 1-2 fast experiments. Specify: hypothesis, method, metric, success threshold. 6. **Visualize the tree** - Present the full OST in a clear hierarchical format. Think step by step. Save as markdown if substantial. --- ## Further Reading - [The Extended Opportunity Solution Tree](https://www.productcompass.pm/p/the-extended-opportunity-solution-tree) - [What Is Product Discovery? The Ultimate Guide Step-by-Step](https://www.productcompass.pm/p/what-exactly-is-product-discovery) - [Product Trio: Beyond the Obvious](https://www.productcompass.pm/p/product-trio) - [Continuous Product Discovery Masterclass (CPDM)](https://www.productcompass.pm/p/cpdm) (video course) ## Source & license This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code. - **Author:** [aleksander-dytko](https://github.com/aleksander-dytko) - **Source:** [aleksander-dytko/ai-pm-workspace](https://github.com/aleksander-dytko/ai-pm-workspace) - **License:** MIT - **Homepage:** https://productpeak.substack.com/ Install and usage instructions live in the source repository linked above. ## Pricing - **Free** — Free ## Security capabilities Automated source analysis of v0.1.0 — what this tool can access: - **Network access:** no - **Filesystem access:** no - **Shell / process execution:** no - **Environment & secrets:** no - **Dynamic code execution:** no *"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.* ## Versions - **0.1.0** — security scan: passed — Imported from the upstream source. ## Links - Listing page: https://agentstack.voostack.com/l/skill-aleksander-dytko-ai-pm-workspace-opportunity-solution-tree - Seller: https://agentstack.voostack.com/s/aleksander-dytko - Browse the marketplace: https://agentstack.voostack.com/browse --- Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.