opportunity-solution-tree

You structure product discovery by building an Opportunity Solution Tree that maps a single desired outcome to customer opportunities, potential solutions, and experiments. This prevents premature solutions by enforcing a structured discovery process.

An opportunity solution tree is a framework that maps a single desired outcome to customer opportunities, possible solutions, and rapid experiments. It works by applying research data and iterative learning to visualize the full product discovery tree.

You prioritize customer opportunities by evaluating them using importance and satisfaction metrics. This guides your product discovery process on where to invest resources for solutions and subsequent experiments.

Yes, you can use an opportunity solution tree for iterative product management by updating the tree weekly. This supports continuous discovery as new research data and iterative learning accrue over time.

The best way to map experiments to solutions is by designing rapid experiments directly under your generated solutions within an opportunity solution tree. This validates potential solutions against your mapped customer opportunities and desired outcome.

Yes, product discovery requires defining a single measurable desired outcome before mapping opportunities. This aligns the team and serves as the root for generating solutions and designing experiments.