What problem does it solve? Teams often ship features without ever checking whether the delivered product achieved the objectives set during planning, leaving decisions driven by opinion rather than evidence. This Skill closes that loop by comparing actual usage, value, and stakeholder satisfaction against the original success measures and converting findings into evidence-based product decisions. ## Core Features & Use Cases - Outcome-Gap Analysis: Recovers objectives from the Project Definition and compares intended outcomes against observed usage, operational, and support data. - Evidence-Based Recommendations: Formulates continue, adjust, or retire options with trade-offs, routed to Roadmap Planning and Prioritisation. - Structured Seven-Step Method: Guides evaluation from objective recovery through evidence selection, collection, analysis, gap diagnosis, recommendation, and routing. - Use Case: After a feature has been live for a quarter, use this Skill during the Improve phase to check whether adoption targets were met, diagnose whether gaps stem from understanding, implementation, adoption, or measurement, and feed recommendations into the next planning cycle. ## Quick Start Ask the AI to evaluate whether the recently released feature achieved the objectives and success measures recorded in the Project Definition, using current usage and support data.
