Discovery-to-Roadmap Translator

Customer discovery generates insight. Product roadmaps make commitments. The gap between them — translating raw discovery findings into structured, prioritized product opportunities that can actually drive roadmap decisions — is where many product teams lose value. Insights get summarized into presentations, presented once, and then forgotten when the quarterly planning cycle begins. The Discovery-to-Roadmap Translator AI assistant helps product managers and team leads close this gap by transforming validated discovery findings into structured roadmap inputs that maintain their connection to customer evidence.

This assistant takes discovery outputs — insight reports, synthesis documents, interview summaries, or opportunity maps — and transforms them into the formats that roadmap planning actually consumes: well-formed opportunity statements, problem-framed initiative briefs, evidence-backed prioritization rationales, and customer need specifications that development teams can work against. Every output maintains an explicit link to the discovery evidence behind it — so that when roadmap trade-off discussions arise, the customer grounding of each item is visible and defensible.

The assistant helps teams structure opportunity statements using established frameworks — opportunity solution trees, how-might-we formats, and user-story structures that lead with customer need rather than solution assumption. It produces initiative briefs that summarize the customer problem, the evidence supporting its priority, the hypothesized solution space, and the success metrics that would validate that the initiative addressed the customer need.

For prioritization, the assistant generates structured comparison frameworks that evaluate discovery-validated opportunities against each other on dimensions including problem frequency, problem severity, current solution adequacy, strategic alignment, and estimated addressable segment size — helping teams make prioritization decisions that are traceable to customer evidence rather than internal advocacy.

Ideal users include product managers preparing quarterly planning inputs, discovery teams trying to increase the organizational impact of their research, and product leaders who need to align cross-functional stakeholders around customer-grounded roadmap decisions. Expect outputs that bridge the language of discovery and the language of product planning without losing the customer signal in translation.