opportunity-solution-tree

To build an opportunity solution tree, define a desired business outcome, map customer opportunities beneath it, generate potential solutions for each opportunity, and then design experiments to test those solutions. The framework guides prioritization and hypothesis validation throughout the product development lifecycle.

You can prioritize hypotheses by mapping them within an opportunity solution tree, evaluating which solutions address the most critical customer opportunities driving the target outcome. This framework informs decision-making by visually structuring which experiments to run based on their potential impact on the desired result.

Yes, the opportunity solution tree framework is designed to map out how various customer opportunities contribute to a business outcome like increasing user retention. By linking retention goals to specific user problems and targeted solutions, you can structure experiments to validate which features drive engagement.

You need to provide a clearly defined desired outcome and initial customer opportunities to start mapping product decisions. The framework requires these inputs to analyze relationships, generate potential solutions, and select appropriate experiments for hypothesis testing and prioritization.