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Build an Opportunity Solution Tree (OST) to structure product discovery — map a desired outcome to opportunities, solutions, and experiments. Based on Teresa Torres' Continuous Discovery Habits. Use when structuring discovery work, mapping opportunities to solutions, or deciding what to build next.

Build an Opportunity Solution Tree (OST) to structure product discovery — map a desired outcome to opportunities, solutions, and experiments. Based on Teresa Torres' Continuous Discovery Habits. Use when structuring discovery work, mapping opportunities to solutions, or deciding what to build next.

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