discovery-research-stinger

Product discovery requires structuring customer interviews, mapping assumptions, and validating opportunities before development to avoid building the wrong features. This process uses Opportunity Solution Trees to connect desired outcomes to tested solutions.

An Opportunity Solution Tree is a framework that maps desired business outcomes to specific customer opportunities and prototype experiments. It guides continuous discovery by visually structuring weekly interview insights into a validated product direction.

Jobs-to-be-Done interviews require structuring questions around the specific job a user is hiring a product to do. Design these user interviews by capturing customer needs, mapping underlying assumptions, and validating risky ideas before committing engineering resources.

Assumption mapping is a method to identify and prioritize the riskiest hypotheses underlying a product idea. Product teams should use assumption mapping during discovery to design lightweight prototype experiments that validate risky ideas before development begins.

Yes, you can plan lightweight prototype experiments without engineering resources by structuring discovery workflows around assumption mapping. This approach uses evidence-based guidance and reusable templates to test risky ideas and validate product direction.

The best way to prioritize product opportunities is by applying a structured continuous discovery process. Teams define desired outcomes, conduct JTBD interviews, and map assumptions to ensure evidence-based validation before committing engineering resources.