opportunity-solution-tree

An opportunity solution tree structures product discovery by visually mapping desired business outcomes to customer opportunities, potential solutions, and validation experiments. This framework prevents premature focus on solutions by prioritizing underlying customer needs first.

To map desired outcomes to customer needs and experiments, input your target outcome along with customer research data. The framework organizes this data into a tree, linking specific user pain points to potential solutions and fast, cheap tests for validation.

Structure product discovery by using an opportunity solution tree to separate problem space from solution space. You define a desired outcome, identify customer opportunities from research data, and only then brainstorm solutions and design validation experiments.

To generate an opportunity solution tree, you need to provide input on your desired business outcomes and customer research data. Optionally, you can also include existing product ideas or solution concepts for the framework to organize within the tree structure.

Yes, the opportunity solution tree methodology explicitly supports product teams in continuous discovery. It provides a structured framework to iteratively map outcomes to customer opportunities, solutions, and validation experiments based on Teresa Torres' approach.

Use an opportunity solution tree when you need to systematically connect solutions to business outcomes and prevent premature solution focus. It is essential when you have customer research data and need to validate assumptions through fast, cheap experiments before development.