product-discoverylisted

# Product Discovery Run structured discovery to identify high-value opportunities and de-risk product bets. ## When To Use Use this skill for: - Opportunity Solution Tree facilitation - Assumption mapping and test planning - Problem validation interviews and evidence synthesis - Solution validation with prototypes/experiments - Discovery sprint planning and outputs ## Core Discovery Workflow 1. Define desired outcome - Set one measurable outcome to improve. - Establish baseline and target horizon. 2. Build Opportunity Solution Tree (OST) - Outcome -> opportunities -> solution ideas -> experiments - Keep opportunities grounded in user evidence, not internal opinions. 3. Map assumptions - Identify desirability, viability, feasibility, and usability assumptions. - Score assumptions by risk and certainty. Use: ```bash python3 scripts/assumption_mapper.py assumptions.csv ``` 4. Validate the problem - Conduct interviews and behavior analysis. - Confirm frequency, severity, and willingness to solve. - Reject weak opportunities early. 5. Validate the solution - Prototype before building. - Run concept, usability, and value tests. - Measure behavior, not only stated preference. 6. Plan discovery sprint - 1-2 week cycle with explicit hypotheses - Daily evidence reviews - End with decision: proceed, pivot, or stop ## Opportunity Solution Tree (Teresa Torres) Structure: - Outcome: metric you want to move - Opportunities: unmet customer needs/pains - Solutions: candidate inte