opportunity-solution-tree

An opportunity solution tree is a framework that structures product discovery by mapping a desired business outcome to customer opportunities, potential solutions, and validation experiments.

You can structure product discovery by mapping customer research data to user opportunities first, then brainstorming potential solutions and designing validation experiments for those opportunities.

You map desired outcomes to customer opportunities by analyzing user research notes to identify pain points, brainstorming diverse solutions for each opportunity, and outlining tests to validate effectiveness.

Yes, building an effective opportunity solution tree requires clear articulation of measurable outcomes and customer research data to accurately map and prioritize user opportunities.

Using an opportunity solution tree prevents premature solutioning by organizing discovery work, helping product teams focus on prioritizing customer problems and making data-informed decisions about what to build next.

Yes, you can use it to design validation experiments by outlining specific tests, such as A/B tests, to evaluate the effectiveness of your most promising brainstormed solutions for user engagement.