opportunity-solution-tree

An opportunity solution tree structures product discovery by visually mapping a desired outcome to customer opportunities, potential solutions, and experiments. It prevents teams from jumping to solutions prematurely by ensuring focus on validated customer needs first.

To build an opportunity solution tree, input your desired outcome and customer research data. The tool then guides you through mapping opportunities, brainstorming targeted solutions, and designing experiments to validate those solutions step by step.

You need an opportunity solution tree for continuous discovery when your product team struggles to define next steps or risks jumping to solutions prematurely. It organizes discovery efforts by connecting desired outcomes directly to validated opportunities and experiments.

Yes, you can organize existing solution ideas into an opportunity solution tree. Alongside a desired outcome and customer research data, existing opportunities or solution ideas can be optionally provided to structure and map them within the visual framework.

The best way to decide what to build next is by using an opportunity solution tree to structure discovery work. It maps desired outcomes to validated opportunities and tested solutions, ensuring development decisions are driven by customer research and experiments rather than assumptions.

Yes, continuous discovery requires a clearly defined desired outcome to start mapping opportunities. The desired outcome serves as the root of the opportunity solution tree, anchoring the subsequent mapping of customer opportunities, solutions, and validation experiments.