product-story-to-ship

What problem does it solve?

This workflow closes the gap between user research and engineering by requiring every backlog story to trace back to observed user needs, journey pain points, named personas, and measurable outcomes so teams stop building things nobody asked for.

Core Features & Use Cases

• Research-to-backlog funnel: A five-phase pipeline (elicitation, journey mapping, persona definition, outcome definition, prioritization) that turns interview transcripts into scoped engineering work.
• Provenance enforcement: Requires each story to document the persona, journey pain point, and outcome metric that justifies it, preventing stakeholder-driven feature injection.
• Outcome-driven prioritization: Integrates RICE/MoSCoW/ICE scoring tied to baselines, targets, and leading indicators so prioritization is evidence-based.
• Use cases: Launching a new product from interviews to sprint-ready stories, turning research into a prioritized backlog, onboarding a PM to establish a research-to-shipping pipeline.

Quick Start

Use this workflow to convert a set of user interview notes into a prioritized, sprint-ready backlog where every story links to a persona, journey pain point, and measurable outcome.