opportunity-solution-tree

Convert vague stakeholder requests into measurable product discovery plans by extracting a clear desired outcome, generating customer opportunities, mapping solution options, and defining a testable proof-of-concept to avoid premature solution-first decisions.

An opportunity solution tree is a framework structuring product discovery by mapping desired outcomes to customer opportunities and solution hypotheses. Use it during early discovery, prioritization, or when framing initiatives for retention, acquisition, revenue, or product efficiency outcomes.

Map solution options by generating three solution hypotheses per customer opportunity, then score them on feasibility, impact, and market fit. This evaluation recommends a prioritized proof-of-concept (POC) accompanied by a structured experiment plan.

Yes, you can use an opportunity solution tree to align stakeholders around testable hypotheses. It transforms ambiguous strategic goals or OKRs into structured discovery plans, extracting specific desired outcomes and mapping them to measurable solutions.

Outcome-driven product discovery works effectively for framing revenue and acquisition initiatives. The process extracts specific desired outcomes and generates targeted customer opportunities, ensuring your experiment design aligns directly with these business metrics.

The opportunity solution tree focuses strictly on early discovery and prioritization, limiting its scope to generating three opportunities and three solutions per opportunity. It outputs a POC and experiment plan but does not handle post-discovery development or execution.