opportunity-solution-tree

An opportunity solution tree connects a measurable outcome to customer insights, ideated solutions, and validation experiments. You translate research into pain statements, prioritize opportunities, and define hypotheses with success metrics for each test.

Prioritize product discovery opportunities by normalizing customer Importance and Satisfaction scores from research. This ranking prevents teams from jumping straight to features and ensures solutions target the most critical customer pain points.

Continuous discovery structures feature roadmaps by linking OKR-derived targets to validated opportunities and tested solutions. Brainstorm at least three solutions per opportunity with PM, designer, and engineer perspectives before defining fast validation experiments.

Yes, you need a measurable outcome such as a retention target or growth KPI. The opportunity solution tree requires this top-level business metric to effectively frame the discovery work and evaluate downstream experiments.

Generate at least three solutions for each opportunity during product discovery. Ideating multiple concepts ensures diverse approaches before defining fast experiments with hypotheses, testing methods, success metrics, and thresholds.

Avoid jumping straight to features when you have messy customer research and a measurable outcome. Use an opportunity solution tree to rigorously map insights to prioritized opportunities and validation experiments before investing in engineering.